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The Y8S2 Designer's Notes are now available! Featuring: 👁🚫 New Equipment: Observation Blocker ⚡🕊 Thunderbird: Kona Stations Cooldown and Healing Reduced 🐝📈 Grim: Kawan Hive Effectiveness Increased 📕 Full details here 🔽

475,027 views • 3 years ago •via X (Twitter)

10 Comments

Jonesy's profile picture
Jonesy3 years ago

Smoke losing his shield

Layton's profile picture
Layton3 years ago

wondering if the devs play the game after looking at this.

vKixey | R6ZA's profile picture
vKixey | R6ZA3 years ago

Removing smoke shield is wild Smoll brain dev’s Don’t touch something that isn’t broken

Kaosx's profile picture
Kaosx3 years ago

ÑOOOOOO ALIBI AND SMOKE MAINS

Diogenes's profile picture
Diogenes3 years ago

Can't wait to suicide myself reading about smoke

Crowley Aleister's profile picture
Crowley Aleister3 years ago

Ban MNK players on console

Cyber's profile picture
Cyber3 years ago

Everything is good apart from the removal of Smoke's shield. He's an achor- and one of the few operators that have a shield left.

Lovely🇨🇦's profile picture
Lovely🇨🇦3 years ago

@XTSXKian this is absurdly stupid wtf did i just read

Rex's profile picture
Rex3 years ago

The developers are so out of touch with this game… its actually baffling

ILikeCheese's profile picture
ILikeCheese3 years ago

dont agree with the nerf to thunderbird and removing he c4 and impact

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Overwatch Cavalry

1,585,779 views • 3 years ago

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27,428 views • 2 years ago

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No Rest for the Wicked

184,300 views • 2 years ago

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102,529 views • 2 years ago

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Cassator Corp.

40,999 views • 7 days ago

🔥 New Lacatski - Plus My Thoughts, and More 🔥 "It was about 18 inches tall, 18 inches wide, floating in the middle of the kitchen. Jean said, 'Before you showed up, a [crucifix] flew out of the bathroom, horizontally.'" AAWSAP, "was to investigate the paranormal as being the umbrella over UFOs, right from the get go. [My bosses] knew it from the beginning." ~Lacatski ~ Kirsten Joyce: "A U.S. intelligence official who designed and directed the largest UFO investigation in American history has confirmed at least one UFO-type craft of unknown origin is being studied in absolute secrecy." denise valdez: "But, Dr. James Lacatski adds, the fact that our government has stashed away one of these craft is just a small part of a much bigger mystery. Lacatski spoke exclusively with our chief investigator, George Knapp." Knapp in Studio: "Yeah, we're overdue for some UFO News, right? Some of our viewers might remember the name James Lacatski, an analyst and nuclear engineer who worked for the DIA, the Defense Intelligence Agency, and oversaw a program called AAWSAP, based here in Las Vegas. The government still hasn't released a single page from the AAWSAP files, though the program ended 15 years ago, but Dr. Lacatski has been authorized to spill some of these deep, dark secrets." ~ Dr. James Lacatski: "Reducing 30,000 pages of analyst photos and information and logs and sightings, etc, and investigations, that was a tough job. So, when I first met you, I could only give you a very top-level view of what we had done." ~ Knapp Voiceover: "The first time Dr James Lacatski revealed the existence of AAWSAP, the government's largest ever UFO-related investigation, was in a hush-hush, Washington DC meeting in March 2018, arranged by Senator Harry Reid. It happened seven years after the program had ended, and four months after the New York Times revealed the existence of a smaller, unofficial offshoot effort called AATIP." (And Knapp told you about that meeting, and AAWSAP, in March of 2019, and I transcribed it and shared it in April of that same year. In 2019, Knapp also told you that AATIP was, "not so much a program as it was a loose network of intelligence officials in different agencies, including the Air Force and the Navy, CIA, DIA, DARPA…there might be a couple of other agencies. But a case would come in from any one of their units [and] it would be shared with this group of people, analysis would be done, evidence would be looked at and then stashed in a draw and nobody ever sees it. It’s not passed up the chain of command.") Read about it here: Transcript – George Knapp at UFO MegaCon: Over The Years, [The Pentagon] Has “Lied” About UFOs “And They’re Lying Now.” ~~~ Knapp Voiceover: "AAWSAP, authorized by the DIA, secretly funded by Reid and colleagues, and carried out by a Las-Vegas subcontractor of Bigelow Aerospace, was larger than all previous UFO programs put together. It produced a staggering body of work in its 27-month existence. More than 100 thick, detailed scientific reports, not one page of which has ever been released by the government. The most unique part of AAWSAP, is that the program was allowed to follow the evidence wherever it led, and it invariably led to phenomena far stranger than mere UFOs." ~ Lacatski: "And it didn't go off-track into the paranormal, it was to investigate the paranormal as being the umbrella over UFOs, right from the get go." Knapp: "And your bosses knew that from the beginning, they knew it was gonna get weird." Lacatski: "They knew it from the beginning. They were concerned from the beginning about the leak, but we never had a leak, not at all." ~ Knapp Voiceover: "Lacatski and a DIA colleague, ,, were inspired to pursue these subjects in part by continued reports of UFO activity over sensitive U.S. military assets, and by a cornucopia of bizarre, seemingly-paranormal phenomena at what is now well-known as Skinwalker Ranch. "Creatures, animal mutilations, poltergeist or trickster-type activities, along with a smorgasbord of possible UFOs. Lacatski visited the ranch, had an experience himself, and wondered if the paranormal events were a side effect caused by UFO technology, and whoever was piloting those craft." (I believe Stratton and Travis S Taylor lean towards the paranormal events (at least, perception-wise) are the product of the UFO technology having an affect on our brains and making us see things that are not there. For those who have never heard it, here's Lacatski in 2021, on Coast to Coast AM, describing what he experienced on Skinwalker Ranch back in July of 2007.) Lacatski: "We went into the ranch manager’s homes and sat down. Now, we were having a casual conversation. You know, I’m certainly noticing that there are twelve or more crosses and crucifixes on the wall, and I was thinking, 'Hmm, Jim, I wonder if I really should have come here.' But in any case, you know, we’re having a nice conversation and then Bob [Bigelow] and the ranch managers went into, I’d best call it a personal finance discussion, which I felt kind of awkward being there. And I kind of went into a daze, you know, just glancing around the room, seeing what’s the lay of the land in the rooms. And then this object appears, floating in the kitchen. Quite distinct. I mean, I looked away from it and it maintained its position and allowed me, I guess, actively allowed me to come back and look at it and examine it more closely. It was not a blurry vision, it was not a speck in my eye. It was there, it was about 18 inches tall, 18 inches wide, floating in the middle of the kitchen. And that kitchen is quite distinct. Its style is 1950s-style, so the colors of the tiles are quite distinct." George Noory: "Did it look like it just appeared?" Lacatski: "It just appeared. It just appeared and it was very sharp. Now, let me give you an exact description. Take a piece of spaghetti about six inches long - I’m just saying, you know, in practical terms, to form a model of it - let it wet or boil it and let it drop and start bunching up on itself. But at the very end that you’re holding, allow it to droop downwards, and stick out. Now that was super clear, that portion of it. It was a truncated, it was a solid light yellow and it was surrounded by a different shade of yellow cloud. So, you know, I’m looking at this taking notes of what it looked like and just a few minutes ago, I looked back at my original drawing of it because I wanted to catch the impact. And, as someone, I guess, I noted to someone and they’ve repeated it (Bigelow repeated it to George Knapp), it looked very much like the cover object of Tubular Bells, the album from back, I guess it was in the 80s. Except it wasn’t chrome, it was yellow, and it was solid. Quite clear and then it got fuzzy as the droopy portion went into the cloud. And that was it. "There was nothing that dramatic about it. And that’s when we went into a discussion of, you know, I made the comment, 'Well, is this your decorating style?' And Jean said, 'Oh, yes, this is my decorating style. Strange, though, but, you know, before you showed up, a cross flew out of the bathroom, horizontally, into the wash basket, on top of the washing machine.' So I’m thinking, 'Oh, hmm.' Well that’s when we went back and we went right through where the object was, as we all went back and toured the rest of the house and had further discussions about what was going on there. So it’s not a complex story, but that’s it." Knapp: "Just to add some context to this: Jim only made one visit on behalf of the Defense Intelligence Agency to figure out whether there was a justification for a study. He’s there on the ranch for a short period of time, he has an experience, this thing appears in the air, and only he can see it, it’s just for him. And that site, that event is what led to the creation of the program (AAWSAP) and convinced him that something was really going on. He went back to Washington, talked with Harry Reid and set this thing in motion, designed the program. He’s being too modest, I think." Read the full transcript here: C2C Transcript: Lacatski, Colm, Knapp & AAWSAP – UFO Study Can’t Just Be On Nuts & Bolts ~~~ Knapp Voiceover: "[Lacatski] wondered if the paranormal events were a side effect caused by UFO technology, and whoever was piloting those craft. It turned out to be the other way around, he says: UFOs are a subset under a larger paranormal umbrella. Lacatski makes that argument in his new book about AAWSAP, 'Future Visions'" Lacatski: "That's the purpose of the government effort, was to look into: Is there something really there, especially in the paranormal umbrella? And the answer is: Absolutely yes." Knapp Voiceover: "Members of Congress and the UFO public are mostly focused these days on testimony they've heard about Legacy Programs, places where crashed UFOs and alien bodies are supposedly stashed, the kind of allegations that put Nevada's Area 51 on the map back in 1989. "And why not? In a previous book ("Initial Revelations"), Lacatski was authorized to say, in very brief terms, that the government does possess at least one advanced craft of unknown origin. As big as that news is, Lacatski says, it does not answer the even larger questions." ~ Knapp: "You could have craft, you could have bodies, but it wouldn't necessarily tell you where they're from, why they're here, what their plan is." Lacatski: "Nope. Nope, it wouldn't, and that's part of the the story. And what have we really done? In fact, if there was an alien intelligence, which some people think is behind all of this, they must be shaking their heads in frustration (Knapp laughs), because we move like a snail, and maybe, at times, we even go backwards." ~~~ Knapp in Studio: "This is Dr Lacatski's fourth and final book based on the AAWSAP files. I was co-author on two of those, along with Dr. Colm Kelleher. "'Future Visions' contains many new details about dramatic UFO incidents and cases, weird events at Skinwalker Ranch and similar locations, and hints about another program (Kona Blue) that grew out of AAWSAP. The full interview can, eventually, be viewed on our 'Mystery Wire' site. Back to you." Valdez: "Good reading, George, thanks so much." Joyce: "Does it get more interesting than a George Knapp report?" Valdez: "Never. You can hear a pin drop when he's talking."

Joe Murgia

60,904 views • 6 months ago

🚨What is she carrying? Part 2⁉️ Depending on your AI platform preference … we get either a $40,000 handheld X-ray device or a $40 thermos-and-lunch-bag cooler combo? What was your conclusion, and which was right? When we first came across this video months ago, I immediately said it looked like she was “carrying a lunch bag,” or some kind of cooler. But for whatever reason, and what we were more focused on at the time, we didn’t spend the hours and hours and hours required to drill down on those few seconds of video. Not until this week. Tons of social media critics say I should “just release everything we know, and let the truth fall where it may.” But that’s how we get in trouble. And we HAVE gotten things wrong in this five-year-long investigation. EVERYONE has made mistakes. Left and right media, major legacy media, alternative media, and even the best of the independent journalists have made mistakes or misreported details of the January 6, 2021 event. Whether on purpose, by accident, or careless disregard of the truth … you can be the judge of each incident. I’ve explained on numerous occasions that we’ve spent more than a year researching, investigating, and preparing some stories before going public. In this case, when we finally started looking hard at it, the Brave New World of AI took us on a wild goose chase. We now have good reason to finally drill down on the timelines and available video leading up to the sequence of events on the night of January 5, 2021 … the night before the discovery of the two “devices” at the RNC and DNC headquarters. When inputting into AI that first video — which I posted last night — It began spitting out some shocking alternatives to my original “lunch bag” assumption. Unprompted, the AI drew its own conclusion about what Ms. Kerkhoff was carrying, probably because they were “cops” in the video. To be clear, UNPROMPTED, AI was initially adamant that the item in her hand was a portable X-ray device for sniffing out narcotics, weapons, and explosives. Even some The U.S. Capitol Police sources we shared the video with said the same thing. Other Capitol Police sources were more skeptical. Then, suddenly AI wasn’t so sure. As I mentioned last night, in my second post, X’s Grok and Google’s Gemini were arguing with each other. Gemini was shockingly specific: “The item being carried by the officer in that CCTV footage matches the exact structural form factor, top-handle position, and multi-point shoulder strap design of a Viken Detection HBI-120 Handheld Backscatter X-Ray Imager … Rather than being transported bare, it is housed in its specialized tactical, weather-resistant soft deployment carry case.” Wow. You can imagine how that hit like a bolt of lightning, considering whom we were looking at. Grok was less committed, offering varying possibilities ranging from a “paper takeout bag” to all manner of sophisticated law enforcement-used electronic devices. When I pitted Grok against Gemini — and vice versa — Gemini dug in its heels, saying: “Based on the visual evidence in the video and the analysis circulating in response to Steve Baker's query, the device carried by Officer Kerkhoff is almost certainly a Viken Detection (formerly Heuresis) HBI-120 in its tactical soft-carry case. While officially unconfirmed, the visual and structural match is highly specific.” Grok countered: “The competitor [Gemini] write-up describes that pouch as if it were a catalog item with a unique layout, then maps the CCTV blob onto it and calls it an ‘exact’ match. The citations in that text are HBI-120 product pages, not photos of a factory soft case that looks like this bag. That is overfit. Size class + top handle + ‘looks tactical’ is not an identification of an 8-pound 120 keV imager. Could an agency have put an HBI-120 in some aftermarket or unit-made padded bag? Yes. Does this video prove that? No.” But Grok was also an absolute mess in describing the basic video scene itself: “A gray-haired person in dark clothing walks in from the left carrying a dark bag by a single top handle. Papers or a light object in the other hand. Two uniformed officers come down the ramp. They meet. Later two officers walk the sidewalk; one has a light-colored item (bag or papers), and a dark bag is still in the scene. Someone else walks away across the lot with a bag.” Huh? Anyway… Gemini didn’t like what it called “The Thermos Theory”: “Soft Lunch Coolers typically use flexible nylon webbing straps or soft padded handles that pinch or deform when lifted. The handle in the video does not appear to ‘pinch’ like a soft strap; it remains an open loop. This structural rigidity strongly favors the Viken device (or a hard-shelled case) over a soft lunch bag.” Grok’s conclusion: “On evidence quality, the Viken ID is the weaker of the two. It is possible in the abstract and unsupported as a positive ID here. The honest read is: dark soft top-handle bag, lunch-cooler to small-kit size, contents unknown. Anything more specific needs a better frame, a still of the bag on the ground, or provenance outside this clip.” Gemini’s conclusion: “This single frame is ambiguous due to the blur and lighting (reflection). However, the rigid, non-deforming handle visible in the officer's grip is a mechanical characteristic of the Viken HBI-120 (or similar heavy equipment) and is inconsistent with the flexible straps of a standard soft lunch cooler. While the "silver" glint is a point for the thermos theory, it is plausibly explained by the Viken's glass screen or case window. Verdict: The structural analysis (rigid handle) still favors the heavier equipment (Viken) over a standard soft lunch bag.” So, depending on your AI preference … we get either a $40,000 handheld X-ray device or a $40 thermos-and-lunch-bag cooler combo? But there is more evidence in the alternate video angles available. (That I now present below.) They seem to confirm with the ‘human eye’ that Ms. Kerkhoff is carrying a metal cylinder (possibly a thermos) in the same hand as a soft-sided lunch bag cooler. Though the design conflicts with the common thermos handle configurations of most known cylinder thermoses. (Photos below.) And we've not been able to get an accurate hit on the so-called "lunch bag" with that specific handle and strap configuration. And THAT is why you don’t just “release what you know” without seeking every possible video angle and expert opinion. That is why we didn’t run to print with our original November 8 story on the OG topic without first taking it to a government intelligence agency and professional investigators for review. That is why so many bad theories about January 6 still abound — five and a half years later — because they were based on a single camera angle, when years later, the same scene was revealed to have been captured from multiple angles that change reality 180 degrees. This is exactly why all CCTV footage — not just from January 6, but also January 5 and 7 — still needs to be released to the public. When Speaker Mike Johnson authorized Rep. Barry Loudermilk's old investigative subcommittee to begin uploading CCTV footage to a Congressional Rumble channel, we were elated. I had already spent many weeks in the Capitol CCTV viewing room in D.C. The travel, the expense, and the scheduling hassles with the committee made it nearly impossible to spend the amount of time required to prepare any story correctly. Not only to view and harvest what you were looking for, but also to sift through far more than the infamous “41,000 hours” of footage. Congress made more than 1,800 cameras' worth of footage available, and ten total days of footage. That’s hundreds of thousands of hours of potentially useful footage to review. An impossible task for any one person or media organization to review if Congress didn’t make that footage directly available to the public. But they didn’t finish the project. Tens of thousands of vitally important hours from both January 5 and 6 were never uploaded to the Rumble page. Additionally, my team has made specific requests for curiously missing gaps in footage throughout that two-day timeline. In an arrangement made with the Committee, they had originally been very good about getting us the footage from the specific cameras and timestamps we requested. That suddenly stopped when the new Congress and Loudermilk’s new J6 investigative subcommittee took over in January of 2025. Joe Hanneman and I have made innumerable requests — REPEATEDLY — for missing and/or unreleased cameras and timestamps specifically related to the pipe bomb investigation. Despite being told — REPEATEDLY — that they would provide the requested footage, they never did. Something happened. As I’ve reported several times in the last few months, the Capitol Police were finally and successfully able to shut down Loudermilk’s subcommittee investigation into ALL THINGS related to the Capitol Police. They did this only with the complicity and surrender of Speaker Johnson and Judiciary Chairman Rep. Jim Jordan to Capitol Police leadership’s demands. On that note, and in conclusion … there are eight full hours of missing footage from January 5, right in the middle of the day. ALL CAMERAS are missing. These are important hours for what we are tracking. We can see Ms. Kerkhoff arrive at Capitol Police HQ early in the morning to clock in for her shift, but she is not carrying her “lunch bag and thermos” when she arrives. Her car is parked two blocks away, and is in the same parking spot at the end of her day. We can see her leave HQ late in the day (as I’ve documented in the last several posts on this page) with other officers and go to the Fairchild Building. Only to return some half hour later carrying that … thing(?) … and only to spend 45 seconds in the HQ to “clock out” from her overtime shift. We’re still missing vital video footage that both Speakers McCarthy and Johnson promised the American people. Including certain cameras deliberately withheld at the RNC bomb drop location, and other cameras with mysterious gaps at the most important of moments. Do the other video angles here prove that either Grok or Gemini was right, or does the X hive mind have better theories on what Kerkhoff is carrying? How about that high-definition CCTV camera that is right inside that west side door at Capitol Police HQ, with good lighting? They should release that video to us. A $40,000 bomb detection device or a Walmart thermos and lunch bag? I’m good with either. The truth is what we seek. But we should be able to see ALL the footage. Including all Capitol CCTV cameras and footage from January 6, and the days immediately preceding and following. Including the 39,000 video files the FBI claims to have in the entire J5/J6 pipe bomb investigation. Conspiracy theories are born and fester precisely because the government isn’t transparent and purposefully keeps the People in the dark. Then the lawyers who control government make billions from the legal aftermath. (More Photos in the thread below.)

Steve Baker

48,980 views • 1 month ago

🚨 EXTREMELY ALARMING: DARPA'S N3 PROGRAM, Non Surgical Mind Reading, Brain Control, and The END of Free Thought as WE Know it! 🚨 This is NOT conspiracy. This is DOCUMENTED, FUNDED and Operational Reality. DARPA Official N3 Program Page: DARPA 2019 Announcement of N3 Funding to Six Teams: From the original 1950s-1970s RF experiments, through MKULTRA continuations, to today's nanoscale neurogenetic weapons systems. I hold the full map. What follows is the complete exposure, every player, every technology, every intent, every lie, and every question the world must answer BEFORE IT'S TOO LATE! DARPA's N3 (Next-Generation Nonsurgical Neurotechnology) Program: Launched 2018, Still Active in Outcomes In 2018, DARPA publicly announced N3: high-performance, bidirectional brain-machine interfaces for able-bodied service members (and beyond) that require no surgery. Goals: read/write to 16+ independent channels in a 16mm³ brain volume in under 50 milliseconds. Sub-millimeter spatial and temporal precision rivaling implanted electrodes, but wearable, portable, and scalable to populations. Technologies explicitly pursued (per DARPA and funded teams): - Neurogenetics: Genetically engineering neurons to express light-sensitive proteins (optogenetics) for infrared or light-based control. - Nanoscale engineering: Nanotransducers, nanoparticles, aerosolized nanomaterials that cross the blood-brain barrier when inhaled or injected non-surgically. These act as implantable electrodes/sensors/transmitters without scalpels. - Infrared sensing & light: Near-infrared beams to read/write neural activity through skull/scalp. - Ultrasound & acoustics: Focused ultrasound to guide signals or stimulate neurons. - Electromagnetics & RF: Pulsed fields for non-invasive modulation. - Minutely invasive track: Temporary nano-transducers delivered without surgery. Funded teams (2019, millions each): - Battelle Memorial Institute - Carnegie Mellon University (Pulkit Grover et al., $19M+) - Johns Hopkins University Applied Physics Lab - Palo Alto Research Center (PARC) - Rice University - Teledyne Scientific These are not fringe labs. These are core defense contractors and elite universities building the future of thought-controlled drones, instant team cognition, "active cyber defense" via brain links, and unstated population scale neural influence. The Video You Just Watched Ties Directly In: Historical RF/microwave mind control research (Moscow Signal era) showing decades of precedent. The U.S. Embassy in Moscow was irradiated with microwaves 1953-1976. Result: cancers, blood disorders, neurological issues in ambassadors and staff. U.S. responded with its own programs (PANDORA, BIZARRE) exploring behavioral effects of modulated RF. This is the foundation N3 builds upon... now refined to nanoscale precision. From MKULTRA to N3 and Beyond: - 1950s-1970s: CIA MKULTRA, OPERATION ARTICHOKE - LSD, hypnosis, electroshock, sensory deprivation on unwitting citizens. Parallel DoD RF studies on embassy staff and primates. - Moscow Signal: Soviets beamed microwaves at U.S. diplomats. U.S. studied effects secretly while developing countermeasures/weapons. - 1980s-2000s: Continued classified neuro-weapons research (memory modulation, crowd control via EM). - 2010s-Now: N3 + related programs (INI - Intelligent Neural Interfaces, NESD, SUBNETS, etc.). Public "for soldiers" framing hides dual-use: offensive neurowarfare, surveillance, behavioral modification. Key Players Exposed: - DARPA Biological Technologies Office - Architects. - Program Managers: like Al Emondi (N3). - Advisers like Dr. James Giordano (public admissions on nanoscale brain disruption as weapons). - Contractors: Battelle, Teledyne, PARC (Xerox), universities weaponizing academia. - Overarching: U.S. DoD, with likely Five Eyes/ international partners. Private sector bleed-over (Neuralink et al. are the civilian cover story). This is not "for veterans" or "helping paralyzed people." Primary focus: able-bodied warfighters for superhuman command of swarms, instant intel fusion, thought-speed hacking. Civilian applications = total surveillance/control. Nanoparticles can be aerosolized; breathed in unknowingly. They lodge in brain tissue and turn neurons into transceivers. Infrared/light can then read thoughts in real-time or write commands (insert images, emotions, "voices," behavioral urges). Combine with 5G/6G terahertz networks for remote activation. Genetic edits make brains "compatible" at population scale. This enables: - Remote mind reading (thought surveillance). - Behavior modification without consent. - "Havana Syndrome" on steroids... targeted neurological disruption. - End of privacy of thought. End of free will as we define it, as professed by Yuval Noah Harari at the World Economic Forum (WEF). - Weaponized neuroscience: neurowarfare where enemies "decide" to surrender via neural influence. WE NEED to be Demanding Answers for RIGHT NOW, or You, Your Children, Loved Ones, Friends, Family, you name it... Will not exist in the next 3-5 years, this is OPEN GENOCIDE on populations globally. The Georgia guidestones are starting to make a bit more sense now arent they? I won't even bother diving down the rabbit hole of how the real true genuine numbed of souls in this world was around the 730m, about 2 years ago... So that number is now much likely to be closer to around 660m. They are speeding up their human eradication plans, because they don't wish to be held accountable for their heinous, generational, outright satanic crimes that they have committed, are committing and will continue to commit to... If we fail to awaken to what is happening around us, and if we fail to stand together with courage, discernment, and unity, we risk surrendering the future of our species to forces that thrive on division, distraction, and indifference. This is not a work of fiction. This is not a screenplay. This is not a distant possibility reserved for some imagined future. This is REAL LIFE. AND THESE ARE REAL PEOPLE that are affected by the systems, institutions, incentives, and decisions that shape the world around us every single day. Throughout history, countless men, women, and children have suffered under structures that viewed human beings not as sacred and sovereign individuals, but as resources to be managed, exploited, controlled, or discarded. The question before us is whether we will remain passive observers, or whether we will choose to become informed, engaged, and united in defense of human dignity, freedom, and the future we leave to those who come after us. The time to pay attention is NOW! When did N3 achieve operational capability? 2020s? Earlier in black programs? How many citizens worldwide have already received nanotransducers via vaccines, aerosols, food/water, or "shedding"? Which governments/contractors are deploying this against their own populations for "social control"? Why the secrecy if it's purely benevolent? Giordano and others have admitted weaponization potential, What if the greatest illusion ever sold was not a product, a policy, or a political movement, but the belief that power is fully accountable to the people it governs? We are told that rights are sacred. We are told that laws apply equally to all. We are told that institutions exist to protect the public. Yet throughout history, countless examples reveal a different reality. Those entrusted with authority have often violated the very principles they were sworn to uphold. Too often, power protects itself. Too often, wealth purchases influence. Too often, those responsible for the consequences of their decisions remain insulated from the suffering those decisions create. This is not a condemnation of every individual within every institution. It is an observation about a recurring pattern throughout human history. When power becomes concentrated, accountability diminishes and when accountability diminishes, corruption flourishes. The challenge before humanity is not merely to replace one group with another... It is to create a society in which truth matters more than propaganda, principles matter more than profit, and human dignity matters more than power. A free society cannot survive on blind trust alone. It requires informed citizens willing to question, investigate, challenge authority, and hold every institution to the standards it claims to represent. The future belongs to those who refuse to surrender their capacity for independent thought. WE MUST EDUCATE OURSELVES. There comes a moment in every human life when the identities we have inherited, the assumptions we have accepted, and the countless narratives imposed upon us by family, culture, institutions, and society begin to reveal themselves as incomplete representations of who we truly are. At that moment, a choice presents itself... We may continue moving through life according to expectations that were handed to us by others, or we may begin the far more demanding process of discovering what remains when every borrowed certainty is stripped away. Approach God with complete honesty and without reservation. Abandon the need to appear strong, knowledgeable, spiritually accomplished, or self-sufficient. Speak openly of your confusion, your failures, your fears, your doubts, your exhaustion, your grief, your shortcomings, and your deepest questions. Acknowledge that despite all of humanity's achievements, despite all accumulated knowledge, despite every title, accomplishment, possession, and ambition, there remain mysteries that cannot be conquered through intellect alone... Admit where your own understanding has reached its limits and ask sincerely for wisdom beyond yourself. Then withdraw from distraction and remain present long enough to listen. The modern world has become extraordinarily skilled at monopolizing attention, filling every moment with noise, stimulation, entertainment, conflict, urgency, and endless streams of information that leave little room for contemplation. Yet beneath that noise exists a depth that can only be encountered through stillness. It is often within periods of silence, reflection, prayer, and sincere self-examination that many discover insights, convictions, direction, and understanding that could never have emerged amid constant distraction. What answers arrive may not always come as words. They may arrive as conviction, clarity, intuition, compassion, understanding, or an unmistakable awareness of the next step that must be taken. Understand that you have not become the person you are by accident. Every hardship you have endured has contributed to your formation. Every disappointment has shaped your perspective. Every loss has expanded your capacity for empathy. Every mistake has carried a lesson. Every success has revealed something about your character. Every betrayal, every setback, every period of loneliness, every moment of despair, every obstacle that seemed impossible to overcome, and every occasion upon which life reduced you to your lowest point has participated in the continual process of your becoming. Nothing has been wasted. If you are willing, release the assumptions that have convinced humanity that the sacred must always remain distant, unreachable, and separated from daily existence. Release the belief that truth belongs exclusively to institutions, authorities, hierarchies, or those who claim unique access to the divine. Release the notion that the presence of God is confined to specific locations, specific rituals, specific traditions, or specific individuals. Instead, consider the possibility that the divine presence permeates existence itself, expressing through every dimension of creation, through every act of compassion, through every sincere pursuit of truth, through every expression of love, through every lesson hidden within suffering, and through every living thing that has ever participated in the unfolding story of life. Consider the possibility that God is Not absent from the Human experience but Intimately Present within it, experiencing existence alongside US, sharing in Every Joy, Every sorrow, Every triumph, Every wound, Every question, and Every struggle that has accompanied Humanity from the beginning of recorded history until this present moment. The task before US is therefore Not merely to believe more deeply, but to seek more Honestly, to learn more diligently, to question more courageously, to listen more carefully, to Love More Completely, and to become ever more Aligned with the highest truth we are capable of perceiving. Accept Nothing Less than the Fullest Realization of the purpose for which You were created, and devote Yourself to that pursuit with every faculty of mind, Heart, and Soul that has been entrusted to You. and DO NOTHING LESS. Furthermore, What is the full integration with AI (predictive neural control loops)? How do we detect and neutralize these systems in ourselves and Loved ones? Who ultimately controls the master kill-switch on global neural networks? If thoughts are readable/writable, what remains of "human rights"? Are you already affected? How would you even know? Continue through the comprehensive thread below and explore the interconnected material in its entirety. Each post serves as part of a larger body of research, analysis, observations, and supporting information that cannot be fully understood in isolation. The broader picture emerges only through careful examination of the complete sequence and the relationships between the ideas presented throughout. Take your time. Follow the references. Examine the evidence. Consider competing perspectives. Draw your own conclusions. The deeper you venture into the material, the more context becomes available, allowing individual pieces of information to connect into a far more expansive understanding of the subjects being discussed. This Constitutes Crimes Against Humanity on a Planetary Scale! The desecration of the sovereign mind... the last true sanctuary. SHARE THIS THREAD RELENTLESSLY. Demand full declassification of N3 and all neurotech programs... IMMEDIATELY! Support independent researchers exposing dual-use Psinergy-solafide. Protect your mind: minimize EM exposure, detox protocols (research zeolite, saunas, etc. though incomplete), awareness as first defense, = Cures to cancer and all diseases, FREE BOOKS. The era of invisible tyranny is here. They can read your mind. And they can change it. Will you let them? Or do we rise as sovereign consciousness and shut this down NOW? Check my Page or Reach out to me via DM, to Join Thousands of Readers that have already chosen to Embark on the New, Un-forseen way forward. Get yourself a FREE copy of The Book of God's Grief, and The Book of God's Joy, Repost. Research. Resist. The Future of Humanity Depends on it. Related content for you to look in to: - CMU Team: - Historical Moscow/RF: Search declassified archives on PANDORA project. - Giordano clips and papers widely available. Let me know what you think, and SHARE THIS so that others may too! And if You see This post, Reposted... Click on it, Unpost and then Repost again. The knowledge is now yours. Use it. And if you're not already following Noah B. Price... What the heck are you doing?! I Agape You ALL, 🫂 - Noah B. Price 🤍 🪽 If you possess relevant information, research, documentation, personal experiences, data, or credible sources relating to any of the subjects discussed throughout this thread, please feel free to contribute them. Meaningful progress is often achieved through the collective sharing of knowledge, and thoughtful contributions from others can help expand, refine, challenge, or strengthen our understanding of complex issues. Likewise, if you ever find yourself in need of someone to speak with, whether regarding the material presented here or for any other reason, please do not hesitate to reach out. While I cannot promise an immediate response, I will do my best to reply as soon as circumstances permit and to offer whatever guidance, perspective, or assistance I am able to provide. If You or someone You know is facing significant health challenges, including serious illnesses such as cancer, You are also welcome to reach out. While I do not claim to possess all the answers, I have spent the past 2 decades studying a broad range of subjects related to health, wellness, research, and human biology, and I will gladly share any information, resources, or avenues of investigation that may be worthy of further exploration. No one is meant to carry every burden alone, and there is often value in sharing knowledge, experiences, and perspectives in the sincere hope of helping one another move toward greater understanding, healing, and well-being.

Noah B. Price

20,426 views • 3 months ago

OHH BOY! 🚨🚨🚨 $XRP holders, guess which major company with liquidity all over the world asked Ripple for help? Brad Garlinghouse never named the company in the SALT interview. But when I line up his exact words with the companies already sitting inside Ripple Treasury, one name fits the problem almost word for word: CEVA Logistics. And once you understand why CEVA matters, the entire GTreasury acquisition starts looking completely different. Brad said CFOs and treasurers are coming to Ripple with money spread around the world. Some of it is sitting dormant. Some of it is not earning yield. They want to know how stablecoins and onchain markets can help them move that money faster and make it productive. Now look at CEVA. CEVA had around 1,100 bank accounts worldwide. Ripple Treasury’s own case study says the company gained visibility across more than 40 internal entities and identified roughly: $100 MILLION of idle cash. That money could then be centralized and used for working capital. Read Brad’s words again. Liquidity all over the world. CEVA had 1,100 global bank accounts. Dormant liquidity. CEVA identified $100M sitting idle. Unlock trapped capital. CEVA already used the treasury platform Ripple now owns to do exactly that. That is why CEVA Logistics is my strongest evidence-based candidate. Not because Ripple confirmed CEVA was the exact company Brad was talking about. Brad did not name anyone. But CEVA proves something more important: the exact problem Brad described is already sitting inside Ripple Treasury’s customer base at serious scale. And Ripple can now offer CEVA far more than GTreasury originally could. The old treasury job was: find the money, see the money, centralize the money, use the money somewhere else. Ripple is adding another layer: keep that money moving and productive around the clock. When Ripple bought GTreasury for $1 billion, Brad already described the opportunity using almost the same language. He said Ripple wanted to help treasury teams put trapped capital to work. GTreasury gave Ripple access to more than 1,000 corporate customers across 160 countries. That is why I think people underestimate what Ripple actually bought. It did not simply buy treasury software. It bought access to the people who decide what happens to corporate cash. The Office of the CFO. The treasury department. The teams deciding: where cash sits, which subsidiary needs liquidity, which balances can be invested, how FX is managed, how payments move, how much money needs to remain pre-funded, where collateral is held, and how much capital is simply waiting. That is one of the hardest enterprise audiences for any crypto company to reach. Ripple effectively bought the door. Then Ripple started changing what could happen behind that door. In April 2026, Ripple launched native Digital Asset Accounts inside Ripple Treasury. Now corporate finance teams can see traditional cash and digital liquidity through the same treasury environment instead of treating blockchain as an isolated system. Even more important: Ripple said multiple existing customers were already beta-testing the digital-asset capabilities before public launch. That line deserves far more attention. Somewhere inside Ripple Treasury’s existing corporate customer base, companies had already moved past: “What is a stablecoin?” They reached: “Give us access. We want to test this.” Then Brad goes to SALT and says that over roughly the last six months, CFOs and treasurers have increasingly started approaching him with exactly these liquidity questions. That timing is hard for me to ignore. And Ripple’s own 2026 survey says 74% of finance leaders believe stablecoins can improve cash-flow efficiency and unlock trapped working capital. That is the demand side. Now look at the customer side. CEVA is only the beginning. American Airlines is another name I cannot ignore. American operates across more than 60 countries. Ripple Treasury says it increased American’s global cash visibility from roughly: 65% to 99%. Think about what that means for a treasury team. At 65% visibility, the problem is: Where is our money? At 99%, the problem changes. Now you can ask: Which entities are overfunded? Which balances are actually necessary? Which accounts could earn more? Which cash is sitting locally because moving it is slow? Which buffers only exist because banking infrastructure cannot move at the speed the company wants? That is exactly where Ripple’s new digital layer becomes interesting. American already uses Ripple Treasury across: cash, investments, debt, collateral, FX, and other treasury functions. Ripple does not need to walk into American Airlines and convince the company to replace its treasury operation. It already sits inside the workflow. The next conversation can simply become: You already use this system to manage almost all of your global cash. Now here is RLUSD. Here is digital settlement. Here are tokenized liquidity products. Here is 24/7 movement. Here are new ways of making surplus cash productive. That is a much easier adoption path. Then there is Subway. Nearly 37,000 restaurants across around 100 countries. Historically around: 450 bank accounts across 70 banks. That is a treasury maze. Franchise flows. Royalty payments. Advertising fees. Regional entities. Suppliers. Different currencies. Different jurisdictions. Ripple Treasury helped consolidate that structure and pushed cash visibility to roughly 98%, with around 90% of payments automated. But one comment from Subway’s own treasury leadership matters more to me than those numbers. They said Subway kept expanding use of the platform as more capabilities became available. Now ask what major capability Ripple just added. Digital assets. XRP. RLUSD. Digital liquidity. Tokenized investment products. 24/7 settlement. Subway does not need to announce: “We are becoming a crypto company.” That would completely miss the point. If digital dollars improve intercompany movement or global franchise settlement, the treasury team has a reason to use them. If tokenized products let excess cash remain productive for longer, the treasury team has a reason to use them. If XRP offers useful bridge liquidity between currencies inside a transaction, the software can use XRP. That is how adoption gets real. It becomes boring. It becomes treasury. And boring is bullish because boring means the technology became useful enough that nobody needs to call it crypto anymore. Then we have The Adecco Group. Adecco has approximately 280 entities across 60 countries. Its intercompany operation touches around 20 currencies. Ripple Treasury already saves Adecco roughly $100,000 per month through netting and reduced FX and bank costs. This is one of my favorite examples because it proves treasury efficiency is measurable. Nobody needs a token narrative. Adecco can look at the monthly number and see the benefit. Now imagine digital settlement being added after the netting process. Today: hundreds of entities owe each other money. Treasury calculates the final obligation. Then settlement still has to move through conventional banking infrastructure. Different banks. Different cutoffs. Different FX windows. Potential correspondent chains. Now imagine: net the obligations, determine the final amount, settle through digital liquidity, operate beyond normal banking hours, compress the time the company is exposed to settlement friction. That is a real stablecoin use case. Not theory. A corporate financial problem with an obvious digital solution. Then SSP Group. SSP operates across 35 countries. Its treasury team has openly described using Ripple Treasury to identify which entities are holding too much cash and determine where that liquidity should be centralized. Put that beside Brad’s quote. He says companies have money scattered globally. SSP says some subsidiaries are holding excess cash. Brad says corporations want that capital unlocked. SSP’s treasury system is already finding the exact excess balances that need to be centralized. This is why I think Brad’s “sea change” comment is much bigger than: “Corporations are interested in stablecoins.” What he is really saying is: corporate treasury has found a problem blockchain can solve. That is a much stronger adoption signal. Then there is Volvo. Volvo is the name I would watch hardest for the transition from traditional treasury into blockchain-based corporate money. The company already sits inside the Ripple Treasury ecosystem. But the bigger clue came through Ivan Branco, Head of Information Management, AI and Analytics at Volvo Group. In an interview highlighted by the Cardano Foundation, Volvo discussed its internal exploration of an enclosed blockchain environment and proprietary cryptocurrency for transactions involving Volvo, material suppliers and transport suppliers. That is huge because it tells us Volvo has already thought about digital money in the context of a real business problem. Supplier settlement. Now imagine what Volvo sees today. It explored creating digital money itself. Then the treasury system it already uses becomes owned by Ripple. Ripple adds: RLUSD XRP digital-asset accounts, stablecoin settlement, 24/7 liquidity, tokenized markets, and institutional financial infrastructure. The question becomes: Why build all of this ourselves if part of it can increasingly exist inside the treasury system we already know? That is why Volvo remains one of my highest-conviction names to watch. But the story gets much bigger when you add the banks. Because corporate money does not move without institutional banking infrastructure. That is where: BNY Mellon JPMorgan Bank of America and Citi enter the picture. These banks are not the same type of participant as CEVA or Subway. CEVA asks: How do I unlock my global cash? A major bank asks: How do I provide the rails through which that cash can move safely? Those two sides are now starting to meet. Start with BNY Mellon. BNY is the primary custodian of RLUSD reserves. It also provides Ripple with transaction-banking services supporting RLUSD operations. That is a serious institutional foundation. If corporate treasury teams eventually begin moving meaningful balances through RLUSD, the stablecoin needs: reserve custody, banking, redemptions, operational infrastructure, institutional trust. Ripple already has BNY inside that machinery. So BNY is not sitting outside Ripple’s stablecoin strategy. BNY is already underneath it. Then we have JPMorgan. This connection is especially important because it already went beyond theory. In May 2026, Ondo, Kinexys by J.P. Morgan, Mastercard and Ripple completed a real cross-border, cross-bank redemption involving tokenized U.S. Treasuries. The tokenized asset was on XRPL. XRPL processed its leg in under five seconds. Kinexys by J.P. Morgan handled the banking settlement side. That one transaction says a lot about where finance may be heading. The future does not require Ripple to replace JPMorgan. It does not require JPMorgan to replace XRPL. Different systems can handle different parts of the same institutional workflow. XRPL handles one side. JPMorgan infrastructure handles another. Tokenized financial assets move between them. That is much more realistic than the old crypto idea that one network has to destroy everything else. And JPMorgan is building toward the same corporate-liquidity future Brad described. Its Blockchain Deposit Accounts focus on giving corporations access to liquidity around the clock. JPM Coin is positioned around keeping capital liquid and productive 24/7. Read that beside Brad. Brad says: CFOs have dormant global liquidity. JPMorgan says: keep corporate capital productive around the clock. Different institution. Same problem. Then Bank of America. Bank of America Merrill Lynch was one of the founding members of Ripple’s Global Payments Steering Group, established around standards for blockchain-based cross-border payments. Today Bank of America also sits among the banks supported through Ripple Treasury’s ClearConnect infrastructure, alongside institutions such as JPMorgan and Goldman Sachs. That does not mean Bank of America secretly runs XRP. That is not the interesting part. The interesting part is what the corporate treasurer sees. A company can have traditional balances at Bank of America. Traditional balances at JPMorgan. Other bank balances around the world. Then: RLUSD. Digital-asset positions. Tokenized liquidity. Potential XRP access. All visible through the same treasury-management layer. That is how traditional banking and blockchain start merging. Not because every bank disappears. Because the corporate treasury layer begins orchestrating between them. Then Citi gives us one of the strongest confirmations that Brad’s comments represent something wider than Ripple. Citi’s own 2026 language talks about: faster cash mobility, always-available liquidity, and money and assets capable of continuous movement. Citi Token Services already moves tokenized deposits 24/7 across supported markets. So now look at the pattern. Brad Garlinghouse says: corporate treasurers want dormant global liquidity unlocked. JPMorgan says: capital should remain liquid and productive 24/7. Citi says: treasury clients increasingly need continuously available liquidity. Ripple Treasury says: put idle corporate cash to work around the clock. Four different organizations. Same structural shift. That is the real signal. And this is where I think the $XRP thesis becomes much bigger than: “Stablecoins are bullish for Ripple.” Because RLUSD and XRP do different jobs. RLUSD gives institutions stable digital-dollar liquidity. XRP is XRPL’s native asset and bridge-liquidity tool. Now look again at the corporations in this thesis. CEVA Logistics. American Airlines. Subway. The Adecco Group. SSP Group. Volvo. These are international companies. They do not operate inside one currency. They deal with dollars, euros, local currencies, bank deposits and potentially an increasing number of digital representations of money. Stablecoins do not eliminate the liquidity problem. They can actually create more digital liquidity relationships. Different stablecoins. Tokenized deposits. Different currencies. Different settlement networks. Someone still needs to connect value efficiently. That is where XRP can become useful. And the corporation does not need to become an XRP investor. The company does not need to announce: “We are holding XRP.” The treasury system can simply evaluate the transaction. What route is cheapest? What route is fastest? Where is the deepest liquidity? If XRP provides the better route between two assets, the system can use XRP in the middle. The CFO sees: money moved. The recipient sees: money received. The treasury team sees: settlement completed. That is financial infrastructure. Then layer in everything Ripple has assembled. Ripple Treasury gets Ripple into the CFO’s office. RLUSD provides digital dollars. BNY Mellon supports the reserve and banking layer underneath RLUSD. Ripple Payments moves value internationally. XRP provides native bridge liquidity. XRPL provides public settlement. Ripple Prime provides institutional financing, clearing, collateral and liquidity. Tokenized money-market funds give excess corporate cash somewhere productive to go. Ripple Treasury itself is now positioning tokenized MMFs, repo and an XRPL MMF portal as ways to keep idle capital productive. Then developing XRPL Lending starts bringing another piece into the picture: credit. That matters because real financial systems do not run only on payments. They run on credit. Working capital. Collateral. Repo. Financing. Short-term liquidity. Corporate borrowing. Asset-backed lending. If Ripple can move from helping corporate treasury see money, to moving that money, to deploying it, to financing against digital assets, then the stack starts becoming much larger. Think about CEVA again. Old world: 1,100 bank accounts. $100M sitting idle. Ripple Treasury helps centralize it. Potential future architecture: traditional balances visible inside Ripple Treasury → Digital Asset Account → RLUSD for digital dollars → tokenized MMFs for short-term deployment → secured repo → Ripple Payments for global movement → XRPL settlement → XRP when bridge liquidity provides the better route → eventually onchain lending and credit. That is no longer a payments company. That starts looking like a full corporate-liquidity stack. Now multiply that across more than: 1,000 corporate customers operating across: 160 countries with roughly: 13,000 connected banks. Ripple says Ripple Treasury facilitated about $13 trillion in customer payment volume during 2025. That does not mean $13 trillion suddenly moves onto XRPL. The important part is the size of the installed base. Ripple does not need to find corporate cash. The cash already exists. It does not need to find multinational clients. The relationships already exist. It does not need to build treasury workflows from scratch. The software already exists. It now needs to progressively add digital rails inside those existing relationships. That is why the beta testing matters. The process has already started. And RLUSD itself was approaching roughly $2.4 billion in circulation as of September 3, 2026. So the digital-dollar layer is growing while Ripple simultaneously pushes deeper into corporate treasury. That is why I increasingly think the $1 billion GTreasury acquisition may eventually look like far more than a software purchase. Ripple may have paid $1 billion for: direct distribution into global corporate liquidity. And that is why Brad’s phrase “sea change” hits so hard. For years crypto chased the corporation. Now the corporation is starting to walk up to Ripple. The CFO is not asking: Which token will pump? The CFO is asking: Why is our money sitting idle across twenty countries when it could be moving and earning around the clock? That is the kind of question that creates real adoption. My strongest evidence-based corporate candidate remains: CEVA Logistics. Then: Volvo because the company already explored blockchain-based corporate money. American Airlines because Ripple Treasury already sits deeply inside a huge global treasury operation. Subway because its international franchise structure creates a massive payment and liquidity challenge. The Adecco Group because its 280 entities, 60 countries and 20 currencies make digital settlement extremely logical. SSP Group because its treasury team is literally looking for excess cash sitting around the organization. Around those companies sit: BNY Mellon JPMorgan Bank of America Citi and Goldman Sachs inside the broader banking environment Ripple Treasury connects with. Then you have: Ondo providing tokenized U.S. Treasuries. Mastercard participating in real institutional tokenized-asset settlement. Kinexys by J.P. Morgan handling banking settlement. And Ripple connecting everything through: Ripple Treasury, RLUSD, Ripple Payments, Ripple Prime, XRPL, and XRP. That is why Brad’s interview feels much bigger to me than: “CFOs are interested in stablecoins.” He may be describing the beginning of corporate working capital itself becoming digital and programmable. That is a completely different market. And Ripple is already sitting directly in front of the companies controlling that money. The bullish $XRP thesis is not: CEVA found $100M, therefore CEVA buys $100M of XRP. That is not how I see this. The much bigger opportunity is: corporate liquidity enters an ecosystem where XRP, RLUSD and XRPL are already native financial tools. Once the CFO is already inside Ripple Treasury, the hardest part is done. Ripple does not need to convince them to rip everything out and “adopt crypto.” It can introduce new capabilities one layer at a time. Stablecoin settlement. Digital balances. Tokenized MMFs. Repo. Cross-border payments. Institutional liquidity. Eventually lending. And if those capabilities save money, free working capital or make liquidity easier to manage, corporations have a business reason to keep using them. That is how this becomes normal. That is why I keep coming back to Brad’s wording. He did not say: “Crypto investors are excited.” He said corporate finance executives are asking how Ripple can help with real money sitting idle right now. The problem already exists. The customers already exist. The liquidity already exists. The banking relationships already exist. Ripple now has the treasury interface connecting them. And if even a small portion of the trillions already running through this ecosystem starts touching digital rails over time, the scale gets very serious, very fast. That is the $XRP setup I care about. Not one logo. Not one corporate announcement. The possibility that Ripple is becoming part of the infrastructure through which global corporate liquidity itself gets managed. SOON!

X Finance Bull

181,649 views • 23 days ago

An interview by VERY DARK AND CORRUPT Wall Street Journal aired today [1] WSJ's terrible "journalists" (and I use that term lightly) made many false statements about Sarepta's worthless, dangerous drug and Vinay Prasad's firing [1,2] I explain how the FDA sausage is made in excruciating detail Buckle up To get readers up to speed -> In June, corrupt pharma company Sarepta Therapeutics paid $40,000 to lobbying group Michael Best Strategies (MBS) to deal with a problem [3] -> MBS had recently hired Chris LaCivita, who had close connections with "MAGA" influencer Laura Loomer [4] -> With stock down 88%, Sarepta needed to sell their very bad, very dangerous drug or the company would go bankrupt [5] -> After several deaths from the drug this year, FDA official Vinay Prasad said "no way" and kicked the drug to the curb [2,6] -> Sarepta panicked and paid MBS (we believe) to deal with Prasad [3,4] -> If this story is right, LaCivita recruited Laura Loomer to take down Prasad [4,7] -> Loomer said she was defending Trump, but she was lying [7] -> She was defending taxpayer-funded payouts to a worthless, corrupt company [7] -> Laura Loomer so brave A history of bad drugs and regulatory failure -> This is one of the worst pharma scandals in American history and corrupt mainstream media isn't covering it -> Sarepta has a very long, troubled history [8] -> For more than a decade, every major Sarepta FDA drug approval has required INTENSE political intervention [8,9] -> Scientists at FDA have been repeatedly overruled [8,9] -> Many scientists have resigned, very publicly, over these POLITICAL decisions, some writing scathing public criticisms of these terrible decisions [10,11] -> The most recent resignation by Vinay Prasad is not something new; it follows in a long tradition [2,10] -> In fact, standards have dramatically deteriorated since the first controversies about the company's drugs in the 2010s [8,9] -> Prasad was trying to hold the line in the face of rapidly deteriorating standards at the agency [2,6] -> For that, pharma launched a coup--a literal coup of a drug regulator [4,6] -> This is unprecedented -> Banana republic sht, unbelievably corrupt 2016: first Sarepta drug approval and the "highly unusual" decision -> The first Sarepta drug approved by FDA was called Exondys 51 [8] -> This drug was for patients with mutations in dystrophin, a muscle protein [8] -> This is a debilitating and fatal disease affecting children [8] -> Exondys 51 increased dystrophin by 0.2% of normal levels [8,12] -> Unsurprisingly, there was no good evidence the drug worked [8,12] -> Why would it? It increases the protein from zero to 1/500th of normal levels -> One reviewer wrote: "I can find no precedent of an accelerated approval for a marketing application where the effect size on the surrogate endpoint is as small as 0.3%." [12] -> The study submitted by the company included no proper control group [12] -> The techniques used were so bad not even a first-year PhD student would do a study that way -> This the level of work you would expect from a mediocre undergraduate with no guidance -> It's almost like it was so bad on purpose -> (Narrator: it was on purpose) -> Nerd time: -> One reviewer wrote: "The Western blots submitted by the applicant for Study 201 were oversaturated, unreliable, and uninterpretable." [12] -> Another wrote: "Because CDER also determined that the conditions under which the original IHC analysis was performed were inadequate, including that the reader was not masked to sequence and time, the Center requested a re-reading of the stored images by three masked pathologists under different conditions. The IHC results from the reread were not nearly as favorable, as compared to the initial IHC results reported by Sarepta." [12] -> "The lack of concordance between the IHC and the Western Blot results is 'striking'" [12] -> "Study 201/202 had fundamental flaws, including baseline biopsies from external controls who could differ in unknown ways from study subjects, Week 180 biopsies from different muscles than baseline, and potential protein degradation in stored baseline samples." [12] -> And on and on. -> FDA commissioner Robert Califf wrote at the time: the submitted study was "characterized by major flaws in the clinical study design" and "Blinded experts assembled by the FDA fundamentally debunked this study, which has yet to be retracted and continues to be cited" [9,12] -> That's right, the FDA commissioner expressed dismay that the study that the company used to gain approval hadn't yet been retracted, it was so bad [9] -> Senior FDA official Janet Woodcock decided to approve before scientific review team had even voted [9,12] -> Woodcock be like: yeah i'm going to decide before you guys can because i know what you're going to say lol -> Despite external intense pressure, FDA scientists voted against Exondys 51's efficacy [9,12] -> They then voted against its accelerated approval [9,12] -> The review team filed an appeal with FDA commissioner after "passionate" disagreement with Woodcock [9,12] -> One reviewer called Woodcock's decision "unprecedented" [12] -> In a 126-page report, FDA commissioner Califf called Woodcock's decision "highly unusual" [9] -> The FDA board wrote: "[Woodcock's] involvement here appears to have upended the typical review and decision-making process. ... Care should be taken to avoid the appearance of interfering with the integrity of scientific reviews at the lower levels of a Center." [9] -> Again, the data were unbelievably bad, literally every technique in the study was inappropriately used [12] -> I would fire an undergraduate student who did science like this, immediately -> FDA's chief scientist accused Sarepta of "serious irresponsibility" for selectively publishing only some of the data [9] -> Even Woodcock, who approved the drug, called the research "seriously deficient" [12] -> Yes, even the person who approved the drug over the heads of FDA's scientists said the research was horrible [12] -> Still, FDA tried to bury their heads in the sand and beg that, basically, Sarepta pretty please do a better job next time -> FDA commissioner: "The utmost attention should be paid to optimizing the methodological rigor of [future] trial[s]" [9] -> FDA also demanded a clinical trial "to verify the benefit" of the drug [8] -> Welp, this was in 2016 [8] -> The trial results are supposed to be available in 2026, maybe [13] -> Or maybe later, depending on how much money needs to be made first -> As an article published in Nature three years later despaired of the decision: "The approval was conditional on the company agreeing to conduct a two-year post-approval trial to show Exondys 51’s efficacy. But by August 2019, the company had yet to begin such a trial and in the meantime had profited from sales of $300 million in 2018." [13] -> If it sounds like Sarepta used political pressure to get its drug approved and then tried to avoid actually publishing the study showing it didn't work, it sounds that way because that's exactly what happened [13] -> FDA commissioner after deferring to Woodcock: "I am confident this unique situation will not set a general precedent for drug approvals under the accelerated approval pathway, as the statute and regulations are clear each situation must be evaluated on its own merits based on the totality of data and information." [9] -> This statement was profoundly naive, and the historical record bears this out [8,14] -> Three FDA scientists resigned, including the lead reviewer of the drug, understanding the grave implications of the collapse of scientific standards and where they would lead [10,11] -> One was John K. Jenkins, M.D. Director, Office of New Drugs Center for Drug Evaluation and Research/FDA [10] -> In a presentation given just before his resignation, he wrote: -> "Path taken by Sarepta NOT a good model for other development programs" [10] -> Crucially: -> "Upholding statutory standards for approval in face of hopes and desires of patients, families, sponsors, and investors is a very difficult job" [10] -> "Personal attacks on FDA reviewers creates an atmosphere of distrust and isolation rather than collaboration" [10] This brings us to WHY Sarepta's drug was approved Facebook FDA -> So why did the drug get approved? -> Basically, Sarepta propagandized extremely desperate patients [9,15] -> They used miraculous snake oil promises and patients believed them -> Remember that this is life or death for patients, and they are extremely vulnerable -> Sarepta also professionally trained some patients to give testimonials to FDA and congress [15] -> The patients then went to congressmen who don't have time to understand the science [15] -> They gave emotional stories to congressmen [15] -> The result: -> Letter from 109 House members [15] -> Letter from 24 Senate members [15] -> And a media circus documented in the New York Times [16] -> Patients screaming at scientists during meetings [9] -> 2,792 emails written to FDA urging approval [12] -> One of them: "Dear Dr. califf: How is it that everyone in and around DMD understands this simple Idea and the science geniuses at FDA don't? You stupid fckers are costing each and every DMD kids days of their lives with your Moronic Dystrophin dance. Time to get a fcking clue" [12] -> Upon approval, a journalist for Reuters wrote: "owing to pressure from patient advocates, the U.S. Food and Drug Administration on Monday approved a treatment for Duchenne muscular dystrophy even though an outside panel of experts and the agency's own reviewers questioned the drug's efficacy" [17] -> A commentary in Nature Medicine was also published called "Railroading at the FDA" [9] -> Its author wrote: "In the words of one FDA committee member, Exondys lowers the agency's evidentiary standard for drug effectiveness 'to an unprecedented nadir.'" [9] -> A highly critical commentary was also published in Science, titled "Sarepta gets an approval - Unfortunately" [18] -> The article's author pharma veteran Derek Lowe wrote: "The company... called up Duchenne-affected boys and their families to plead with the FDA, and won over Janet Woodcock, and that appears to be enough. Is this going to be the new way to get a drug approved? Run a trial in a dozen people, generate unconvincing data, and then lobby Janet Woodcock? I share the worries that this might open the floodgates, because after all, Sarepta got their drug through." [18] -> One FDA reviewer ended in an equally grim note: ". Approval of this NDA would send the signal that political pressure and even intimidation – not science – guides FDA decisions, with extremely negative consequences. The public is well aware of this development program: the meager size of the study population, the marginal (at best) effect size, the Division’s dim view of the efficacy data, and the robust activism of some members of the DMD community. Many would be amazed at an approval action, because other DMD drugs, recently turned down for approval, appeared to provide stronger evidence of efficacy. ...The ramifications here are profound. The public will perceive that it was their unprecedented lobbying efforts that made the difference and earned eteplirsen its accelerated approval. For the future, this will have the effect of strongly encouraging public activism and intimidation as a substitute for data, which is one of the worst possible consequences for communities with rare diseases. This type of activism is not what was envisioned for patient-focused drug development." [12] -> A new era was born -> Activism had replaced data -> Facebook had fried people's brains -> And now Facebook-fried brains had fried FDA too -> FDA's credibility as a regulatory agency would now be hollowed out -> FDA's Facebook age had begun -> But the worst was yet to come Sarepta approvals: 2016 to present -> Three more drugs were approved from Sarepta on the same shoddy basis, proving Califf's promises that Exondys 51 was an isolated case empty [8,14] -> But things would take a turn for the worse with Sarepta's newest drug Elevidys in 2024 [19] -> At last a rigorous clinical trial looking at actual clinical outcomes was published [19,20] -> All would be put to rest -> At long last the issue could be resolved with HARD CLINICAL DATA -> There was only one problem -> The trial failed to show any benefit according to the primary outcome [19,20] -> The surrogate biomarker of micro-dystrophin meant absolutely nothing; it wasn't actually helping patients [19,20] -> What did FDA scientists do? They voted against approval. Of course [19] -> How could they not? The drug didn't actually work in the clinical trial [19] -> It's the only thing that made sense, since FDA is a scientific agency -> AND THEY WERE OVERRULED AGAIN BY PETER MARKS [19] -> YES THAT'S RIGHT, OVERRULED YET AGAIN -> PHARMA WINS AGAIN -> HAHAHAHAHAHA PHARMA ALWAYS WINS YOU FOOLS -> What happened is that Marks crossed his eyes somewhat, trying to make the words on the page blurry -> He prayed really hard, "my god please give me a sign, something, anything, I need this for my career" -> lzzosolsolzzolzozlslzolosllslozllzlzl -> Marks was trying really hard to see SOMETHING, come on come on, give me SOMETHIGN he said -> And he said: wait, look, there are these secondary, exploratory endpoints and a two of them look pretty good, I'LL APPROVE [19,20] -> AHAHAHHAHAHA YES PHAMRA WINS AGAIN -> And Marks said, "Thank you pharma go- I mean god, not pharma god, why did I just say that, FCK" -> The trial was explicitly designed for what Marks did NOT to happen [20] -> Once the primary endpoint was not met, the secondary endpoints couldn't even be statistically tested [20] -> And the trial explicitly said that they could not be interpreted the way Marks interpreted them [20] -> They were not adjusted for multiplicity and they were, like expression of dystrophin, simply bad endpoints [20] -> These two secondary endpoints were time to rise from lying on the floor and the 10-meter walk/run tests [20] -> Subjects who received the Elevidys performed, on average, about 0.5 seconds better than placebo recipients on these tasks [20] -> However several facts must be borne in mind when interpreting these: -> 1. At the time of testing, patients receiving the drug were receiving more corticosteroids than placebo patients, biasing the results [20] -> 2. Blinding might have been broken because those receiving the drug experienced lots of nausea and vomiting from the drug (~70%) [20] -> 3. These differences were tiny and may be attributable to chance, since the natural course of the disease varies widely [20] -> Marks knows this but who cares? Pharma I mean Facebook needed to be placated Elevidys: the drug -> To understand why this is so messed up, one must understand a few things -> On a Bayesian basis, one must assume that Elevidys is harmful until proven otherwise, for two reasons: -> 1. All drugs are potentially "toxic", but some toxins heal: by default you must assume it is a toxin that does not heal because this is what is actually usually the case; you need evidence that it actually heals -> 2. Elevidys IN PARTICULAR must be assumed to be harmful until proven otherwise because of the very nature of the drug -> Let's do a breakdown of the basic science of Elevidys that supports this (Bayesian) hypothesis: -> Gene therapy that permanently integrates into human genome [21] -> Meant to replace dystrophin, the protein that these patients cannot produce themselves [21] -> Preferentially targets muscle but gets expressed everywhere [21] -> Killed three people this year [6,21] -> Costs $3.2 million per injection [21] -> Truncated version of the protein it is supposed to replace [21] -> 3X shorter than the real protein [21] -> Has to be truncated because the technology cannot create the full protein [21] -> Because it's an abnormal protein, it's foreign, so immune system attacks it [21] -> Patients injected with drug are basically given an autoimmune disease [21] -> Patients have to be given anti-inflammatories to fight the disease that the drug causes [21] -> Causes terrible muscle inflammation [21] -> Inflames the heart, heart walls thicken because of the inflammation [21] -> Blows up the liver, causes acute liver injury and death [21] Drug should actually be assumed harmful, not beneficial -> Given all of the above, since the drug failed to meet its primary endpoint, it should actually be considered harmful by default, not beneficial [19,20] -> In other words, what we would actually expect if we added more patients and did an even larger study... -> Is that the drug would do worse than placebo, i.e., patients taking the drug would do worse than those taking placebo -> Why isn't this the default interpretation? -> They are reading the study with an intervention bias -> An intervention bias is natural, which is why "do no harm" is such a central tenet of medicine -> If I may put forward a thesis: most of Vinay Prasad's 500+-paper body of work has been dedicated to demonstrating the "do no harm" principle empirically [22] -> Rose-colored glasses study interpreters are simply not applying this principle properly and are thus failing scientifically in the most fundamental way -> Incomprehensible -> Back in 2016, scientists were adamant that the approval of Sarepta's first drug indicated the profound deterioration of scientific standards [8,9] -> But this latest approval is even worse: actual clinical data is now being overruled -> No standards at all are being enforced anymore; anything can now be approved based on any evidence whatsoever -> What Vinay was trying to do was simply to stop the unrelenting downslide -> And his firing punctuated that downslide for what it was The WSJ segment -> When Elevidys was approved, former FDA chief scientist and one of the original reviewers of Sarepta's first drug Luciana Borio said: -> "I don’t know what to say. Peter Marks makes a mockery of scientific reasoning and approval standards that have served patients well over decades. This type of action also promotes the growing mistrust in scientific institutions like the FDA." [23] -> To return to this video, these two WSJ reporters show an incredible level of ignorance and arrogance -> Finley says that the drug is "clearly" beneficial by misreading the secondary endpoints, just like Marks did -> An FDA memo from last year says about these endpoints: "Under these circumstances, they are misleading and cannot guide any stakeholders—including patients, family members and caregivers, and prescribers—in making informed decisions about the potential benefit of treatment with ELEVIDYS." [20] -> It really doesn't get any clearer than that -> But these two journalists are overruling the actual scientists, just like Marks did -> One of the most incredible comments during this interview was the complaint that "90% of clinical trials fail", as if that's bad thing [1] -> It's actually a good thing; most drugs suck; failing in clinical trial actually allows us to use only the drugs that don't suck -> These people don't understand the most fundamental purpose of the clinical trial -> They think clinical trials failing is a bad thing, as if it means that patients now won't get to use a useful drug -> No, it's a good thing, because it means that patients won't be exposed unnecessarily to a useless drug that might harm them -> The level of ignorance really is unbelievable -> What's worse is that these "journalists" defend their decision -> But what they did is exploit social media hysteria caused by Laura Loomer [1,7] -> Following up on her heels with editorials, using her as pharma attack dog [1,4] -> This is a huge blow to WSJ's credibility, and they know it -> Unbelievably shameful Where do we go from here? -> The Vinay Prasad firing creates a serious crisis of credibility at FDA [2,6] -> Up to this point, we could call these approvals a difference of opinion, but as we've seen, that's a huge stretch -> But any illusion of that is now shattered: the firing shows that drug regulation is explicitly political -> Janet Woodcock: approve, keep job -> Peter Marks: approve, keep job -> Vinay Prasad: block, transparently fired -> Make a decision that is anti-pharma and lose your job: that's the message -> Who can trust any decision at FDA anymore? -> RFK Jr. and Marty Makary both stand behind Vinay Prasad [24] -> Trump went along with lockdowns, he went along with mask mandates, he went along with all of the Covid pseudoscience that he now decries -> He should reverse course and not go along with this -> Trump has created a profound crisis of credibility at FDA and needs to fix it

Kevin Bass

81,288 views • 1 year ago

BOOM!!! 💥💥💥 Dr. Aseem Malhotra's testimony was delivered in the Helsinski District Court on April 12, 2024, with the understanding that any deviation from the truth would constitute perjury. This clip was immediately banned by YouTube so please share widely. I've trimmed the clip, removing the interpreter's segment for a smoother listening experience. Here's the first hour of the testimony. ---------------------------------- My name is Doctor Aseem Malhotra. I am a consultant cardiologist. I've been a qualified doctor since 2001. I have held various roles both in academic health policy. In England, in the United Kingdom, and of the various roles, I won't bore you with all the details. I think three of the most relevant and prominent are the fact that I was an ambassador for the Academy of Medical Royal Colleges for six years, which represented every doctor in the UK. I served a full term of six years as a trustee of the King's fund. I was the youngest member to be appointed to this body which advises government on health policy. I was a founding member of Action on Sugar and a first science director. And through that role I'm considered the lead campaigner on bringing about a sugary drinks tax in the UK. And also, finally I served for five years as visiting professor of evidence based medicine at the Bahiana School of Medicine in Salvador, Brazil. In early 2020, at the beginning of the pandemic I was most vocal doctor on the mainstream, making the link very early on between COVID and those who are vulnerable to suffering serious complications from COVID In fact, in March 2020, I was asked to go on Sky News to explain my initial research findings of the link between especially obesity and COVID, but also to give people an opportunity and to suggest to the government this was a great time for them to implement public health policy to help people enhance or optimise their immune system, which could happen within just a few weeks of dietary changes and optimising vitamin D. This was later also backed up by medical journal publications a few months later. And I was first to mention on the back of an article I published in the Daily Telegraph newspaper, which became a front page commentary and was picked up by BBC News and Good Morning Britain, where I had said that it's likely our prime minister, Boris Johnson, was hospitalised because of his weight. As a result of that, the then secretary for health, Matt Hancock, and this was publicised in the news, had asked me to advise him on the link between COVID and obesity. ...before I explain my journey and in many ways U-turn on my understanding in terms of the benefits and harms of the COVID vaccine, my experience in this area over the last couple of years has made me realise more than ever that even for that the greatest barrier to the truth are not factual or intellectual barriers, but psychological. I think all of us as human beings are vulnerable to these psychological barriers and we should have compassion for ourselves. And I will just very briefly summarise those three psychological barriers before I get into my detailed account of what I was involved in in regards to the COVID vaccine. The first psychological barrier is one of fear. And many of us understandably, and I still remember from early on in the pandemic, we were all scared. We did not know what we were dealing with. The issue with fear is that when people and populations are in a state of fear, we are less likely to engage in critical thinking and we are more likely to be compliant. Although COVID was particularly devastating for vulnerable groups in the elderly and I even have managed and still manage people with long COVID, the fear was grossly exaggerated. And one of the examples of that is that when we had good information on the mortality rate of COVID in the United States, one survey in 2020 revealed that 50% of Americans believed that if they caught COVID, the risk of 19 hospitalisation was 50% one and two, when the actual figure, certainly an average for people in middle age, was less than 1%. The second barrier to the truth, which I think is very relevant to the situation we find ourselves in now, is one called willful blindness. This is when human beings, all of us, are vulnerable to this, turn a blind eye to the truth in order to feel safe, avoid conflict, reduce anxiety and to protect prestige and fragile egos. Some examples of this include, on a personal level, willful blindness can occur when a spouse turns a blind eye to the affair of their partner. On an institutional level, some great examples of willful blindness include Hollywood and Harvey Weinstein, the Catholic Church and child molestation. I believe the current situation we find ourselves in, with much of the mainstream narrative and the medical establishment and policy makers not acknowledging quite horrific, serious and common harms from this vaccine, is another example of willful blindness. And I also say this with full empathy, because I was one of those people that was for a very long time, willfully blind to the harms of the COVID vaccine. In January 2021, I was one of the first people to take two doses of the COVID mRNA vaccine because I volunteered in a vaccine centre. I still believe that traditional vaccines are some of the safest amongst all pharmacological interventions in medicine and I could not conceive of any possibility whatsoever of this vaccine causing harm. As a public figure and respected doctor in the UK, I have built relationships across the board with many other public figures, including celebrities and politicians, who often come to me for medical advice. One of those people was film director Gurinder Chadha, who you may be familiar with some of her work, including the movie "Bend It like Beckham", who had asked me whether or not she should take the vaccine and had sent me blogs which I dismissed and regarded as anti vax nonsense. I was then asked to go on good morning, Britain because Gurinder Chadha, the director herself tweeted that I had convinced her to take the vaccine. The main reason for this TV appearance was to help tackle vaccine hesitancy, which was very prominent amongst people from ethnic minority groups in the UK. I made the point on that programme that I understand where vaccine hesitancy was coming from because of the history that I have been involved with over many years in highlighting the shortcomings of pharmaceutical industry influence over medicine. And I even made the point, if I remember correctly, that they have been found guilty of fraud on many occasions, that the third most common cause of death, prepandemic after heart disease and cancer, is prescribed medications. I, however, reassured the public and said that despite these figures, of everything we do in medicine, traditional vaccinations are amongst the safest. I still believe this to be the case. A few months later, in April 2021, I met with a colleague and friend of mine who I regard as one of the brightest cardiologists in the United Kingdom. I was surprised when he told me that he had not taken the COVID vaccine. He explained to me that he had concerns because he had seen in the supplementary appendix of Pfizer's original trial that there were four cardiac arrests in the vaccine group and only one in the placebo. These numbers were small and did not reach statistical significance. So this could be random chance, or his concern was it could represent a signal of problems in the future. And if this was the case, we are going to have a huge problem. He said he'd rather wait and see what happens before taking the vaccine. On July 26, 2021, my father, aged 73, who was a very prominent, well known doctor in the UK, including being the honorary vice president of the British Medical Association and had received honours from the Queen of England with an OBE, suffered an unexpected sudden cardiac arrest. I was particularly devastated by this happening and I was also I find it difficult to understand why my father, who was a fit and well man, I knew his cardiac history and his cardiac status, would suffer a cardiac arrest. But also my initial investigation was to try and understand why there had been a 30 minutes ambulance delay arriving to his apartment. Two weeks later, the deputy chief nurse of NHS England, a government health body, called me up. She was very upset, she knew my father very well and she was crying and she told me, Aseem, there's something I need to tell you. She in effect told me that throughout the country, for the last two months prior to my father's cardiac arrest in most regions of the UK, ambulances were not getting to patients in time for heart attacks and cardiac arrests. And there had been a deliberate, and I will use these words because I mentioned it, I've mentioned it before, a cover up involving the government and the Department of Health to withhold this information from doctors and the public. I worked with an investigative journalist with the I newspaper in the UK to write an article and a news story that became BBC News headlines a few months later, exposing this. Just before I exposed this, I messaged a professor of cardiology who I trust in the UK. He has a leadership role to explain to him what had happened and what I was about to do. I have text message evidence of this. He told me not to do this because it would make me enemies. I explained to him that I had a duty to patients and the public. I'm highlighting this as one example and I'll give you more examples of a cultural problem within medicine. The next part of this story is the post mortem findings of my father. They did not make any sense to me. I am considered a leading expert, maybe in the world, on the development and progression of coronary artery disease. My father had two severe blockages in his coronary arteries. There was no actual evidence of heart attack and likely there was a rhythm disturbance because of reduced blood supply that led to his cardiac arrest. Then in, within the space of a few weeks, around October and November, 3, different sources of information was brought to my attention that made me realise that there was probably a significant problem with the COVID mRNA vaccine. The first in October 2021. I remember I was giving lectures in Stockholm. I was contacted by a journalist with a Times newspaper who reported to me and said, Dr Malhotra, we have reports of an unexplained 25% increase in heart attacks in hospitals in Scotland and asked me what I thought was going on. I explained to her that at that time, with the evidence I knew in my own experience, I said that two likely contributory factors were lockdown stress. We know that when populations undergo severe stress after war, for example, there is an increase in heart attacks and strokes that can last for many years. She asked me whether I thought that there was a contribution. I was surprised when she asked me whether I thought there may be a contribution of the COVID vaccine to these heart attacks. I said to her, a good scientist should never exclude any possibility. But I felt at the time it was unlikely to be related to the COVID vaccine. But we should watch this space and keep our eyes open. A few weeks later, a publication appeared in the Journal Circulation, which is considered the highest impact cardiology journal in the United States that revealed a potentially very strong link between the COVID mRNA vaccines and acceleration in heart attack risk. Very specifically, in several hundred people of middle age, there was a plausible mechanism, by use of inflammatory markers in the blood, that increased the baseline risk of those people having a heart attack in five years, from 11% to 25%, just within two months of having the COVID mRNA vaccines. Of course, this is one bit of data, but even if partially true, that is a huge increase in risk in a very short space of time. And for me now made me think and link back to why my father may have suffered a cardiac arrest six months after having two doses of the vaccine. I remember thinking and speaking to a colleague, that if this was true, then we were going to see an increase in cardiac arrests, heart attacks and excess deaths in heavily vaccinated countries for the next few years. Then within a few weeks, I was called up by a whistleblower at a very prestigious british institution. I will name that institution, which I have not done publicly before as a University of Oxford. This cardiologist explained to me that a group of researchers in his department had accidentally found, through the use of very specialised imaging of the heart, that there was a signal of increased inflammation of the heart arteries, which was there in the vaccinated, but not there in the unvaccinated. The lead researcher of that group had sat down, the juniors, and had said that we are not going to explore these findings any further because it may affect our funding from the pharmaceutical industry. At that point, with these three bits of information, I then felt it was my ethical duty to speak out. And I went on GBNews to talk about what I'd found what I'd heard and I'd asked for the Vaccine Committee of the UK on TV to investigate this, to see whether there was a real problem with the vaccine in relation to heart issues. Around the same time which I found very strange is that the Secretary of State for Health at that stage, who was not Matt Hancock, was Sajid Javid, had announced in parliament that we are going to introduce legislation to ensure that all healthcare workers are mandated to have the COVID vaccine. For me, this, by that stage had no ethical or scientific justification, because certainly after the summer of 2021, it had become very apparent that the COVID mRNA vaccine was not stopping infection and it certainly was not stopping transmission. It was understood that approximately 80,000 NHS workers had refused at this stage to have the COVID vaccine. And now they were threatened with losing their job if by April the following year they had not been fully vaccinated. Many of these people were very concerned and contacted me around that time, I was also conducting many interviews, both through the BBC and Sky News and GBNews in regards to what happened with my father's ambulance delay. And I used it as an opportunity on the mainstream media to call for Sajid Javid, the secretary for health, to U-turn on the introduction of a mandate for healthcare workers based upon the fact that I felt it was not scientific and it was unethical. I also received my own personal backlash from these comments where I was contacted by the Royal College of Physicians who I had an affiliation with, and they asked me to respond to anonymous complaints from doctors that I was spreading, in quotes, antivax disinformation. I felt with my own knowledge and experience of the healthcare system that this was a direct response probably fueled by a combination of willful blindness and institutional corruption. To elaborate a bit further, when I say institutional corruption, I mean that my view was that the complaints were likely being fueled by academics with financial ties to the pharmaceutical industry. I felt very concerned about the potential introduction of the vaccine, well, the vaccine mandate. And therefore I decided there were two things that I decided to do. The first was I made a phone call to the chairman of the British Medical Association in December 2021. I had a good relationship with him and he respected my opinion. And I spent 2 hours on the phone explaining to him everything that I knew up to that stage about my concerns of the COVID mRNA vaccine. He said to me, "Aseem, nobody appears to critically appraise the evidence on the COVID mRNA vaccine as well as you have from our conversation, he said, most of my colleagues are getting their information on the benefits and harms of the vaccine from the BBC". This was replicated by the former chair of the CDC in the United States, Rochelle Walensky, who in an interview later on had said that her initial optimism of the vaccine benefits came from CNN News report. I say this just to emphasise that we should all accept our vulnerabilities to where we receive health information. Even doctors, policymakers, judges and lawyers are all influenced on the public massively by mainstream media. The chairman of the BMA also agreed with me. There was no ethical or scientific justification for mandating the COVID vaccine. He said the BMA also did not support it. And he said because of my conversation with him, he would speak directly to the secretary for health, Sajid Javid. One month later, at the end of January 2022, the COVID vaccine mandate for healthcare workers was overturned. I at that stage, given the fact that there was some backlash happening towards me, I realised that because this is a very big issue and area, and not my initial area of expertise, I needed to carry out my own critical analysis of the COVID mRNA vaccines. I spent six to nine months critically appraising the data, including speaking to two Pfizer whistleblowers, three investigative medical journalists and eminent scientists from the University of Oxford, Stanford and Harvard. The most critical bit, the most critical research that was published on this issue, which I think the whole court should acknowledge in August 2022, was published in the journal Vaccine. That research was conducted by some of the world's top independent of drug industry influence academics. That research, we was able to reanalyze the original randomised control trials conducted by Pfizer and Moderna. They were able to do this because new information was made available on the FDA's website and Health Canada's website. The conclusions of that paper were really very disturbing. The original trials that led to the drug regulatory approval of these vaccines revealed that you were more likely to suffer serious harm from taking the vaccine, specifically hospitalisation, life changing event or disability, than you were to be hospitalised with COVID That rate of harm at two months was very high at 1 in 800. Just to give you some perspective, historically we have suspended other vaccines for much less. In 1976, the swine flu vaccine was pulled because it was found to cause a neurological syndrome called Guillain-Barre syndrome In one in 100,000 people. In 1999, the rotavirus vaccine was suspended because it was found to cause a form of bowel obstruction in children affecting 1 in 10,000. This was 1 in 800. In my view, it was very clear that given this information, published in the highest impact Vaccine journal in the world, peer reviewed, and has not had any significant rebuttals, that this vaccine now, in my view, should never have been approved for use in a single human being in the first place. In my view, this very important court case in some ways, actually is a distraction from the much bigger issue, which is there should be court cases around the world with a full inquiry into the pharmaceutical industry and an inquiry as to how we got this so very wrong. Of course, one could argue this is just one bit of research, but actually, unfortunately, there are different, many different strands of research that are showing a signal of considerable and common serious harm from these vaccines. From pharmacovigilance data that is reporting what we call yellow card reports from the public. We have plausible biological mechanism of harm. We have other research called observational data. We have autopsy data also confirming that certainly with the majority of people who died within a short space of time of having the vaccine in relation to the heart, was definitively caused by the vaccine. This is really a very, very, very horrific situation we find ourselves in. One would hope and expect that the regulators should be independently evaluating all medications. But of course, the evidence reveals this is far from true. There was an investigation by the BMJ, also published in the summer of 2022, which revealed that most of the major regulators across the world were taking most of their money from the drug industry. For example, the MHRA in the UK receives 86% of its funding from the drug industry, and the FDA in America receives 65% of its funding from the drug industry, A fact that most doctors do not know. And therefore, I would not expect members of the court to know this either, is that very, very rarely do drug industry sponsored research get independently evaluated. Clinical trial data can often involve thousands of pages of information on individual patients. The drug companies hold onto that raw data. They then give summary results to the regulator, who are then paying, who have an incentive to approve the drugs, and the drugs are then approved. I made these points in my peer reviewed article published in the Journal of Insulin Resistance in September 2022, where I concluded that we should pause and investigate the issue around the COVID mRNA vaccines. I have since then been campaigning and advocating for a return to ethical evidence based medical practise around the world. Some of the clear solutions moving forward would be changes in the law that are required so that patients, doctors, members of the public can have greater confidence in the information they receive to make decisions about their health. Two very clear, low hanging fruit solutions, which are both ethical, scientific and democratic, would be that the drug industry should be allowed to develop drugs, but they shouldn't be allowed to test them themselves. And they certainly shouldn't be allowed to design their own research to and hold onto the raw data. Their information needs to be independently evaluated. One other clear solution would also be that the medical regulators, again, should not be taking any money from the industry, as this is a gross conflict of interest. I also want to highlight for people to understand the bigger picture. Prior to the pandemic, I had realised that there was a big problem with the reliability of clinical research, where invariably the results of clinical trials on all drugs sponsored by the drug industry, grossly exaggerate their safety and benefits. I have taken this information to the European Parliament, where I spoke in 2019, and I spoke to very senior politicians in the UK government. But although they were sympathetic, they felt that the issue was much bigger than them as individuals, and therefore it also needed media attention to get public awareness on the importance of such an inquiry. Before we continue with further questions, as I've been speaking for quite a long time now I'll just finish with two references just for the court and the judges to understand just how bad this problem is. Prepandemic the man who I call the Stephen Hawking of medicine is Professor John Ioannidis from the University of Stanford. The reason I call him the Stephen Hawking of Medicine is he's the most cited medical researcher in the world and is a mathematical genius. In 2006, he published a paper which was entitled why most published research findings are false. In that paper, he makes a point that the greater the financial interests in a given field, the less likely the research findings are to be true. I say this in context of the Pfizer mRNA vaccine which has made the company $100 billion. The other point that he makes in a further paper in 2017 is, again, the reason the system continues as it is is most doctors are unaware of the information they receive when they make clinical decisions has been corrupted by commercial influence. The other credible name I will mention is the editor of the Lancet, Richard Horton, who I personally know. In 2015, he wrote an article in the Lancet in relation to a secret meeting that had taken place with himself and some of the world's top medical academics. In that, he wrote that possibly half of the medical published literature may simply be untrue. And he said that science has taken a turn towards darkness. But who's going to take the first step to clean up the system? I believe in this case and in this court today, this is going to be a very pivotal potential moment in history for that first step. ---------------------- Dr Aseem Malhotra H/T: Tiina Keskimäki 🇫🇮

aussie17

799,563 views • 2 years ago

77 Reasons Why I’ve Invested Over $8,000,000+ in MultiversX (EGLD) and Why EGLD Will Crush It in 2025 (My Investment Thesis). I publicly shared my portfolio on X. EGLD is A) Better than BTC B) Everything that ETH wants to be C) The GameStop of Crypto 1. EGLD is verifiably the most scalable (theoretically unlimited) L1 chain in the world, theoretically capable of over 10 million TPS (thanks to adaptive state sharding). 2. e-Gold is digital gold. It has the best tokenomics among all L1s, similarly scarce to BTC, with a maximum supply of 31.4 million coins. Currently, 27.68 million coins are in circulation. 3. EGLD will be the most decentralized cryptocurrency in the world thanks to sharding and minimal hardware requirements for running nodes. It’s already second only to Ethereum with 3,618 validator nodes. 4. EGLD has extremely low fees, around ~$0.002 per transaction. 5. EGLD is extremely secure. No wallet drains like on ETH/SOL; assets are owned natively (not via a smart contract). There is no MEV risk (front-running bots). 6. EGLD is the only chain in the world with an on-chain Guardian (two-phase verification), making it impossible for a hacker to steal your funds—even if they have your private keys (seed phrase). 7. EGLD is carbon-neutral and eco-friendly, not wasting energy like BTC and other PoW chains. It’s exceptionally efficient, scalable, global, and sustainable. 8. EGLD has the best UX in crypto. Download the xPortal wallet—it’s like discovering Apple in Web3. The interface is simple, flawless, and you barely realize you’re using crypto. Instead of addresses, you use HeroTags. The app features all dApps, everything runs smoothly, and the visuals are beautifully designed. The explorer, web wallet, etc. follow the same high-quality user experience. 9. EGLD supports native assets, unlike Ethereum, for example. 10. EGLD is the first chain to fully implement horizontal (theoretically unlimited) sharding without compromising on decentralization—unlike Solana and others that attempt vertical scaling, leading to multiple network downtimes (11+ times) and huge hardware demands for validators, ultimately harming decentralization. 11. EGLD makes setting up a validator agency extremely easy. Even complete IT beginners can do it. The UX and documentation are superb. I personally set up the “EGLDSqueeze” agency in about 30 minutes. Managing it is straightforward via the web wallet, which feels like managing a Facebook page. This simplifies decentralization enormously. 12. EGLD allows literally anyone (even your grandma) to participate in decentralization, since nodes can run on a Raspberry Pi or a relatively affordable phone. Imagine millions of people worldwide securing the network, validating transactions without even knowing it. This can’t be done with BTC, where setting up profitable mining operations is prohibitively expensive. 13. WASM-Based Virtual Machine: You can write smart contracts in your favorite language, compile them, and run them via the fastest VM in the world. 14. EGLD has been tested at an incredible 263,000 TPS using its sharding mechanism and low hardware requirements. Allegedly, by mid-next year (April), they’ll demonstrate 1,000,000 TPS. (For context: Mastercard handles around 5,000 TPS; BTC handles 5–7 TPS.) 15. EGLD is currently the most advanced L1 in terms of scalability, security, decentralization, UX, eco-friendliness, and tokenomics. It’s the only chain that has genuinely solved the Blockchain Trilemma and is ready to onboard 1 billion people into crypto—users who won’t even realize they’re interacting with crypto. 16. EGLD is perfectly positioned for AI projects—AI agents, AI tools, or a so-called “Truth Machine” that monitors other AIs on-chain, documenting what’s true and comparing different AI outputs (some of which may be censored or biased), ensuring people don’t get confused or scammed in an AI-driven world. 17. The EGLD team is the hardest-working team I’ve ever encountered. I had the honor of meeting many of them personally, and can attest that their pace—even during a bear market—is extraordinary. 18. EGLD’s development team is exceptionally active on GitHub, continually improving their network and actively committing code. 19. EGLD plans to introduce an update reducing block time to 600ms (down from ~6 seconds), which would make the chain essentially unrivaled. 20. EGLD is effectively the only usable L1 in Europe, and the team has direct connections within the EU government—extremely bullish for the project. 21. EGLD provides top-tier on-chain governance not only for the MultiversX (EGLD) protocol but also for DeFi projects (e.g., xExchange, MEX). 22. EGLD plans to expand to the US, likely opening offices in Austin, Texas. This could put them in direct contact with Elon Musk (if it hasn’t happened already), as he’s involved with If he’s done his research, he’d discover there’s simply no better L1 worldwide. 23. EGLD solved fully implemented sharding, perfect tokenomics, and top-tier architecture with just $5M, whereas other chains failed to do so even with $100M+. The second-best sharding network, NEAR, needed $100M, has worse tokenomics, and its sharding isn’t fully implemented yet. Its UX also doesn’t compare. Owning NEAR was like comparing a VW Golf R to a Porsche GT3—EGLD is the Porsche GT3. 24. According to Similarweb, EGLD has significantly high traffic relative to other chains with market caps 100x larger. The market cap vs. web traffic discrepancy is huge, which is a strong indicator of EGLD’s potential. 25. EGLD has the most active and dedicated community relative to its user base, with users who believe in the technology, have full faith in the team, and remain loyal despite price volatility—because they use the chain and know there’s nothing better. 26. Check other chains’ active user counts on X (Twitter) and compare it with the followers of EGLD’s founders and main network accounts, versus those with 30x, 50x, or 100x larger market caps. 27. Visit the MultiversX website to observe the futuristic design and presentation, then compare it to other chains that appear nearly a decade behind in design and branding. 28. EGLD hosts the xDay Global event, showcasing updates, new builders, projects in the ecosystem, and major announcements—similar to Apple’s Keynotes—delivered in a highly professional, goosebump-inducing atmosphere. The next event is in Korea, the second-biggest crypto market after the US. Check out their previous xDay after-movie to see why this is extremely bullish. 29. EGLD is moving forward with plans for the first regulated, audited EU stablecoin under MiCa regulation, made possible by acquiring xMoney, which I view as a “Stripe” for crypto/fiat, offering everything from user solutions to merchant services—potentially the future of payments. 30. Greg Siourouni recently joined EGLD, having been an executive director at SUI Foundation. He’s now co-founder of xMoney Global. xMoney (formerly UTrust, with token UTK) is owned and founded by the MultiversX Labs team. A stablecoin might be introduced soon, which would be massively bullish given xMoney’s roadmap. They recently announced integrations with Binance Pay—both ways. 31. EGLD prioritizes user safety, believing it’s the only feasible approach once the network scales to serve a billion people—many of whom are retail users with little to no security awareness. 32. EGLD offers “Sovereign Chains,” letting you effectively clone their chain without heavy development, set up your own validators, and leverage their unlimited scalability. Any blockchain (ETH, BTC, SOL) struggling with scalability, decentralization, or security could run an ultra-fast, scalable, and secure L2 on EGLD’s Sovereign Chain, meeting top enterprise requirements. No one else has really done this. The Sovereign Chain demo achieved astonishing TPS and has an SDK. 33. No downtime since inception. 34. No shard takeover attacks have occurred. 35. Extremely fast—soon 600ms block time will be in place. 36. ESDTs – The best token standard available: fungible, non-fungible, semi-fungible, DeFi assets—everything is native and highly customizable. 37. Top-tier composability of assets and smart contracts. 38. Integrated DNS at protocol level with HeroTags (nicknames) instead of long addresses. 39. Asynchronous calls are supported. 40. Cross-shard transfers, execution, reverts, and calls are seamlessly integrated. 41. The best staking system in the space. Secure Proof of Stake (SPoS) is far more efficient than Proof of Work (PoW). 42. Built-in Delegation and Staking Provider system, with over 125K delegators. 43. Complete support for liquid staked assets, fostering decentralization rather than centralization. 44. TransferRoles for ESDT and other advanced operations. 45. Composable tasks on-chain for more sophisticated DeFi workflows. 46. MultiTransfer and asset execution within one transaction. 47. Re-entrancy protection is built-in by design. 48. Storage for ESDT assets goes beyond a linear approach, optimizing performance. 49. No integer overflows thanks to integrated safeMath operations. 50. Integrated crypto opcodes in the VM, enhancing security and performance. 51. Support for BigFloats, BigInts, and BigDecimals, enabling advanced financial calculations on-chain. 52. No sandwich attacks, plus front-running and MEV protection. 53. Relayed Transactions, simplifying user interactions and fees. 54. Smart Accounts featuring data tries and multiple built-in functions. 55. Generalized Paymaster solutions, enabling flexible fee models. 56. Subscriptions for recurring or automated on-chain payments. 57. Web2-like usability with Web3 functionality, bridging mainstream adoption. 58. StakingV4 for improved decentralization. 59. Enhanced MEV protection rolling out to safeguard users. 60. Parallel execution is coming soon, boosting throughput. 61. 1 million TPS is on the roadmap, targeted for demonstration. 62. 600ms block time is also coming soon. 63. Reduced cross-shard processing is planned to improve efficiency. 64. ZK everywhere (PI²): “prove everything” approach is coming. 65. AsyncV3 is in development for more complex cross-contract interactions. 66. Scalability enhancements for Merkle Tries or a new data model are being explored. 67. Linear storage on the VM is forthcoming. 68. A dynamic language interpreter at the VM is also planned. 69. Rumors suggest that MultiversX (EGLD) is building a “Truth Machine” on their L1—an essential, game-changing tool for AI verification and societal impact. 70. The entire team features individuals with PhDs in mathematics and physics, and many are former engineers at Google, IBM, and similar companies. 71. Over 56% of the network’s supply is staked, showcasing strong community involvement. 72. More than 6,772,347 accounts have been created on the network. 73. A total of 476,627,710 transactions have been processed on-chain without any outages or hacks. 74. EGLD has built a massive ecosystem over time. While not as numerous in project count as Solana, its market cap is ~100x smaller, yet it has far superior tokenomics and technology. The projects that do exist, like Hatom Protocol, are top-tier in UX, security, and advanced features. Hatom will soon introduce USH, a truly high-quality, decentralized stablecoin. 75. On competing chains, automated transactions aren’t easily or cheaply executed, whereas on MultiversX, tools like let you do this for free (with near-zero fees). 76. No other chain combines such a strong team and long-term vision where every product meets extreme security and UX standards like MultiversX does. This is why I see it as the “next Apple” in Web3. 77. MultiversX has a new CMO – Adam Bates, a former CMO at the Cardano Foundation. He was behind the success of Cardano’s huge marketing campaign and has a very good relationship with Charles Hoskinson. Thanks to him, Beniamin Mincu (the founder of MultiversX) was likely introduced, and now they will probably discuss how both blockchains can help each other, as well as any other potential collaborations we don’t yet know about. This is also extremely bullish. #EGLD is undeniably the most Scalable, Advanced, Secure, and User-friendly L1 supercomputer ever created. It’s built to SHAPE THE FUTURE. 1) 2) 3) 4) 5) 27/6/2024 - EGLDSqueeze - SUMMARY: HERE IS NO 2ND BEST. EGLD IS ONLY ONE BLOCKCHAIN THAT CAN RULE THEM ALL. ✅ UNLIMITED SCALING ✅ SCARCE AS BTC ✅ PROGRAMMABLE AS ETH ✅ NO DOWNTIME AS SOL ✅ UI/UX OF Apple ✅ SHARDING DONE BEFORE NEAR & TON ✅ BEST WALLET xPortal WITH GUARDIAN Price prediction (NFA|DYOR): My reasoning is that the real market cap as of December 23, 2024...if we take into account the value of other cryptocurrencies such as BTC, SOL, ETH, AVAX, NEAR, TON, Cardano, BNB, XRP, and so forth, plus the existence of meme coins with valuations above 20 billion USD, or even games nobody plays anymore that still have valuations above 800 million shows that EGLD’s current market cap of approximately 942 million USD is incredibly low. From a technological standpoint, user experience, and other relevant aspects, compared to SOL, NEAR, TON, AVAX, and other L1 protocols, EGLD’s market cap should realistically be around 100 billion USD. Therefore, my prediction and investment thesis is a minimum of a 100x increase from its current price (+-SOL marketcap). MultiversX is ready to onboard 1 billion people to the blockchain. From a long-term perspective, it could even reach a market cap of 1 trillion USD, which is roughly half of where BTC is right now. That would be approximately a 1060x gain from the current market cap. 1 EGLD (MultiversX) is for $34 (only 31.4M max supply) think about this. Not financial advice. Again. There is no 2nd best L1. Position yourself where the puck is going, then wait at the goal until the goal gets there Apes together, strong. Ape alone, weak. We Don't Worry. We Just Win. Shape The Future

Daniel Veroc

50,778 views • 1 year ago

$NVDA $MU $SNDK $LITE PAPER OVERVIEW AND CORE CLAIMS The paper “KV Cache Transform Coding for Compact Storage in LLM Inference” introduces kvtc, a transform-coding pipeline that compresses transformer key-value (KV) caches primarily for storage and transfer in LLM serving, rather than for accelerating the per-token attention kernel during active decoding. The method combines 3 stages: (1) feature decorrelation via a PCA basis computed from a calibration dataset and reused across requests; (2) adaptive, variable-precision quantization with bit allocation solved via dynamic programming (DP), including groupwise scaling/shift overhead; and (3) lossless entropy coding (DEFLATE via nvCOMP in the reference implementation) to exploit residual redundancy after quantization. The central empirical claim is that KV tensors contain large, exploitable redundancy across heads and layers, enabling approximately 20× compression versus a 16-bit baseline with negligible degradation across a broad set of accuracy and long-context benchmarks, with materially higher compression (≥40×) available at modest quality cost in some regimes. The system claim is that such compression materially improves the economics of multi-turn, prefix-reuse serving by extending effective KV cache capacity in GPU HBM and host tiers (DRAM/NVMe) and by reducing inter-node and GPU↔host bandwidth demands, thereby improving cache hit rates and reducing time-to-first-token (TTFT) relative to recomputation when caches would otherwise be evicted. KV CACHE AS THE DOMINANT STATE VARIABLE IN INFERENCE ECONOMICS KV cache growth is linear in context length and is multiplicative in layers and attention heads, making it an increasingly dominant constraint as (a) context lengths expand, (b) models add layers and maintain large hidden dimensions, and (c) production workloads shift toward iterative and tool-augmented interactions that repeatedly reuse long prefixes. The paper uses the canonical 16-bit KV cache size formula (4·l·h·d_head·t) bytes and reports 16-bit KV cache sizes per 1K tokens of context that are already operationally large: 128MiB for Llama 3.1 8B, 160MiB for Mistral NeMo 12B, and 320MiB for Llama 3.3 70B Instruct. In binary units, these figures imply per-token KV footprints of 128KiB/token (Llama 3.1 8B), 160KiB/token (Mistral NeMo 12B), and 320KiB/token (Llama 3.3 70B Instruct) at 16-bit. For a 10K-token prompt (10×1K in the paper’s binary convention), the 16-bit KV cache sizes scale to approximately 1.25GiB (Llama 3.1 8B), 1.56GiB (Mistral NeMo 12B), and 3.13GiB (Llama 3.3 70B Instruct). These magnitudes explain why stale caches create a throughput–latency dilemma: retaining them in HBM maximizes responsiveness on future turns but crowds out concurrent sessions; evicting them forces quadratic-cost prefill recomputation and increases TTFT; offloading them to host or storage introduces large transfer overhead and consumes DRAM/NVMe capacity. A key operational nuance emphasized is that modern serving stacks increasingly treat KV caches as a database, leveraging block paging and shared-prefix reuse. In the common disaggregated serving design (separate prefill and decode nodes), KV cache transfer becomes a dominant category of cross-node traffic. Under that design, any reduction in KV cache size directly increases effective fabric capacity and reduces tail latency attributable to congestion, while also enabling longer cache lifetimes in “hot” (HBM) and “warm” (CPU DRAM) tiers that raise cache hit rates and reduce recomputation frequency. The paper’s quantitative example illustrates the economic stakes: a 1,000-line code file tokenized at ~10 tokens/line yields ~10K tokens; for Llama 3.3 70B, an 8-bit KV cache for that context is ~1.6GiB. Reuse across subsequent turns or parallel chats around the same file is valuable, but HBM scarcity makes retaining many such caches infeasible without compression. TECHNICAL MECHANISM: WHY KV CACHES ARE COMPRESSIBLE AND HOW KVTC EXPLOITS IT The technical rationale begins with an empirical observation: keys (and, to a lesser extent, values) across different attention heads can be aligned into a shared latent space using orthogonal transformations (Procrustes alignment). This supports the hypothesis that head-specific projections introduce rotations of a common subspace rather than completely distinct information, implying that concatenating across heads and layers should reveal low-rank structure suitable for linear decorrelation and dimensionality reduction. The method operationalizes this using a PCA/SVD basis learned from calibration data rather than recomputing a decomposition per prompt. This design choice targets production viability: per-prompt SVD is computationally expensive and scales poorly with long prompts and frequent cache updates. kvtc is explicitly structured as an offline-calibrated, online-applied codec: Calibration (performed 1 time per model and compression setting for DP allocation) A calibration dataset is forwarded through the model to collect KV caches. Token positions are pooled, and a subset of positions is sampled. Keys and values are processed separately. Several implementation choices are highlighted as decisive for stability: Rotary positional embeddings are effectively removed prior to compression (“undo positional rotations”), because positional rotations degrade the apparent low-rank structure of keys. “Attention sink” tokens (the earliest tokens in the sequence) and a sliding window of most recent tokens are excluded from compression because they disproportionately affect attention patterns and are empirically more sensitive to reconstruction error. Cross-layer concatenation is used: keys (or values) from multiple layers and heads at the same token position are concatenated along the feature axis to form a higher-dimensional feature vector. PCA is computed over these concatenated vectors, improving robustness relative to per-layer or per-head PCA. The PCA basis is computed via SVD of centered calibration data, using randomized SVD for scalability with a target rank cutoff. The paper reports calibration regimes of 160K tokens for several models with a 10K PCA dimension cutoff (8K for Qwen variants with fewer KV heads), selected to fit within a single 80GB H100 memory envelope and complete within minutes. A critical economic detail is that the same PCA basis can be reused across multiple compression ratios; only the DP-derived precision assignment changes per compression target. Compression (applied between inference phases) Compression operates on stored KV cache tensors, not on weights, and does not modify attention computation. The KV cache is projected into the PCA basis, quantized, packed, and then entropy-coded. Compression is positioned as a background or between-phase operation (after decoding, or between prefill and decode), executed on GPU or CPU depending on where the cache currently resides. The design intent is that compression should not sit on the critical per-token decoding path; it is a storage and transport optimization. Decompression (performed prior to reuse) Decompression reverses the entropy coding and quantization and applies the inverse PCA projection. A practical latency optimization is proposed: inverse projection can be performed layer-by-layer using submatrices of the PCA basis, allowing generation to begin before the full cache is reconstructed, reducing TTFT. Quantization and bit allocation are the core differentiators versus simpler PCA truncation. PCA provides ordered components by variance; kvtc uses DP to allocate a global bit budget across PCA coordinates (and across groups of coordinates) to minimize reconstruction error in the decorrelated domain. Groups of subsequent PCA coordinates share 16-bit shift and scale factors (a microscaling-inspired design), and the DP algorithm jointly selects group size and precision type under a bit budget, including the overhead of per-group metadata. DP commonly assigns 0 bits to many trailing PCA components, which both increases compression and provides a mechanism to trim the PCA basis to the subset of components that actually carry payload, reducing compute and storage overhead of the projection matrices in deployment. Lossless entropy coding then exploits the structure induced by quantization. DEFLATE is used in the reference implementation, and the paper emphasizes that the incremental gain from the lossless stage is content-dependent but meaningful, with an average uplift of ~1.23× on top of quantization in the reported regime. An ablation in the appendices indicates that GPU-friendly variants (GDeflate) can achieve nearly identical compression ratios (≤0.1 difference in measured cases), implying that throughput-optimized lossless codecs can likely be substituted without sacrificing meaningful compression. EMPIRICAL RESULTS: ACCURACY, COMPRESSION, AND LATENCY General-purpose 8B–12B dense models The paper evaluates Llama 3.1 8B, MN-Minitron 8B, and Mistral NeMo 12B across math/knowledge (GSM8K, MMLU) and long-context tasks (Qasper, Lost in the Middle, RULER Variable Tracking) under a simulated multi-turn regime where compression/decompression is applied periodically, with a sliding window of recent tokens excluded. A consistent pattern appears: kvtc maintains near-vanilla performance through 16× compression settings, and remains competitive at 32×, with degradation becoming task- and model-dependent at 64×, particularly on long-context retrieval metrics when compression is pushed aggressively. Selected quantitative anchor points from the paper’s standard-error table (all values are reported with the paper’s evaluation setup and token-window exclusions): Llama 3.1 8B Vanilla: GSM8K 56.8, MMLU 60.5, Qasper 40.4, LITM 99.4, RULER-VT 99.8 kvtc16×: GSM8K 56.9, MMLU 60.1, Qasper 40.7, LITM 99.3, RULER-VT 99.1 kvtc32×: GSM8K 57.8, MMLU 60.6, Qasper 39.4, LITM 99.1, RULER-VT 98.9 kvtc64×: GSM8K 57.2, MMLU 60.7, Qasper 37.8, LITM 90.2, RULER-VT 95.9 These results indicate that, for this model, long-context sensitivity emerges at 64× with meaningful drops in LITM and RULER-VT, while math/knowledge scores remain stable, implying a differential sensitivity consistent with key-vector precision being more critical for retrieval-style behavior. Mistral NeMo 12B Vanilla: GSM8K 61.9, MMLU 64.5, Qasper 38.4, LITM 99.5, RULER-VT 99.8 kvtc16×: GSM8K 62.0, MMLU 64.4, Qasper 37.6, LITM 99.8, RULER-VT 99.5 kvtc32×: GSM8K 62.2, MMLU 63.8, Qasper 37.5, LITM 99.6, RULER-VT 98.7 kvtc64×: GSM8K 61.9, MMLU 61.4, Qasper 38.0, LITM 95.3, RULER-VT 98.0 Here, degradation at 64× is visible but materially smaller than the Llama 3.1 8B LITM drop, suggesting model-architecture or training-data differences can change the tolerance envelope for aggressive KV cache distortion. MN-Minitron 8B Vanilla: GSM8K 59.1, MMLU 64.3, Qasper 38.2, LITM 99.8, RULER-VT 99.4 kvtc16×: GSM8K 60.3, MMLU 64.1, Qasper 38.6, LITM 99.3, RULER-VT 98.8 kvtc32×: GSM8K 59.1, MMLU 63.7, Qasper 37.7, LITM 86.9, RULER-VT 96.0 kvtc64×: GSM8K 57.8, MMLU 62.1, Qasper 38.1, LITM 59.5, RULER-VT 93.4 This model shows markedly higher sensitivity on LITM at 32× and 64×, despite stable short-context metrics, reinforcing that “compression safety” is not monotonic in parameter count and that pruning/distillation choices can alter KV cache redundancy or robustness. Comparisons to baselines The paper compares kvtc to quantization baselines (KIVI, GEAR, FP8) and eviction baselines (H2O, TOVA), plus an SVD-based prefill-optimization method (xKV). Across the reported tasks: Low-bit quantization methods at modest compression (2-bit KV schemes) show earlier degradation in long-context behavior than kvtc at substantially higher compression settings. Eviction methods perform poorly as generic compressors for long-context tasks, consistent with their objective function (selective pruning) being misaligned with “lossless-ish storage for reuse.” xKV shows competitive results on some tasks but a consistent underperformance on Qasper relative to kvtc and vanilla in the provided tables, consistent with method-specific distortions introduced by its decomposition regime. Reasoning models and high-variance tasks For DeepSeek-R1-distilled Qwen 2.5 reasoning models, the paper evaluates AIME 2024/2025 and LiveCodeBench coding. Results are averaged over 8 runs with large variance, but a key inference is that kvtc at ~9×–21× compression achieves broadly similar AIME scores within variance bands, while coding performance remains stable at ~9× and degrades more visibly at ~18×–21× on the 7B model. An important nuance is that smaller reasoning models already have smaller KV footprints (reported ~29KiB/token for Qwen R1 1.5B versus 131KiB/token for Llama 3.1 8B), so the economic value of aggressive KV cache compression is proportionally higher for large models and long contexts than for small models with short contexts, unless the serving system’s bottleneck is dominated by cache transfer rather than HBM capacity. Multi-GPU inference and pipeline parallel For Llama 3.3 70B Instruct run pipeline-parallel across 4 GPUs (20 layers per GPU), the paper compresses KV cache chunks independently per GPU. On MATH-500, the reported accuracy declines from 75.6 (vanilla) to 74.4 at 10× and 72.6 at 20×, with standard errors near ~1.9. NIAH and LITM remain at 100.0 for all tested ratios in that table. The paper notes that joint compression across chunks could improve accuracy for some offload scenarios but is not required for feasibility, highlighting an engineering trade-off between deployment simplicity in distributed settings and optimal global compression. Latency and TTFT economics A critical system result is the measured compression/decompression latency on an H100 for a non-fused implementation. For Mistral NeMo 12B in bfloat16: BS=8, CTX=8K: compression 379ms, decompression 267ms; vanilla recompute TTFT 3098ms; kvtc decompression TTFT 380ms BS=2, CTX=16K: compression 194ms, decompression 143ms; vanilla recompute TTFT 1780ms; kvtc decompression TTFT 208ms These measurements imply that, when a cache would otherwise be recomputed, decompressing a stored compressed cache can reduce TTFT by ~8×–9× in these scenarios, even without kernel fusion. The decomposition of runtime shows PCA projection and entropy coding as the largest contributors, implying that GPU-optimized kernels and faster GPU-native lossless codecs could reduce overhead further. The fundamental economic conclusion is that, in multi-turn settings with long prefixes, compression-induced overhead is likely dominated by the avoided prefill compute and avoided transfer overhead for uncompressed caches. KEY DEPLOYMENT-SENSITIVE DESIGN CHOICES AND FAILURE MODES Several design choices appear to be “hard requirements” rather than optional optimizations: Sink tokens and sliding window exclusions The paper’s ablations show that compressing early “sink” tokens can catastrophically degrade accuracy at high compression ratios (example: Llama 3.1 8B at 64× collapses on multiple tasks when sink tokens are compressed). Similarly, compressing the most recent tokens hurts performance, motivating a sliding window (default 128 tokens) that remains uncompressed. This introduces a predictable engineering constraint: kvtc is not a uniform compression of the full cache; it is a policy-driven, token-position-dependent codec. Production integration therefore requires correct handling of token positions, attention sinks, and window management, and these policies must be aligned with attention-kernel behavior and model-specific sink dynamics. RoPE handling Removing positional rotations prior to compression is described as important for preserving low-rank structure. In deployment, this implies that the codec must be position-aware and must invert and reapply RoPE correctly. This is an additional source of complexity relative to pure per-token quantization and is sensitive to model variants and RoPE parameterizations. Calibration set representativeness The method’s quality hinges on the PCA basis generalizing from calibration data to production data. The paper demonstrates relative stability with 160K–200K calibration tokens and explores domain shifts (general web text vs math traces vs code). Results suggest that moderate domain mismatch is tolerated at 16×–64×, while extreme compression (e.g., 256× in ablations) becomes materially more sensitive to calibration choice. In production, this implies that operators targeting the “negligible degradation” regime should be able to calibrate with broadly representative corpora, while operators targeting ultra-high compression for specialized workloads should expect tighter coupling between calibration domain and achieved quality. PCA matrix storage overhead and operational footprint A non-trivial hidden cost is the need to store PCA projection matrices per model. The paper reports that, prior to DP trimming, PCA matrices stored at 16-bit can amount to a meaningful fraction of model parameter count (examples reported: ~2.4% for Llama 3.3 70B, ~8.7% for Llama 3.1 8B). This overhead is amortized across all cached sessions for a model but competes with HBM/DRAM budgets in multi-model serving. DP-driven trimming can reduce this overhead at higher compression ratios by removing zero-bit components, but the directionality is not guaranteed at low compression ratios if many components remain active. In distributed inference (pipeline parallel), per-chunk PCA can reduce matrix sizes, but may reduce cross-layer decorrelation benefits if fewer layers are concatenated. SYSTEM-LEVEL IMPLICATIONS FOR GENERATIVE AI INFRASTRUCTURE GPU AND HBM The principal infrastructure implication is that KV cache compression at storage time targets the dominant memory allocator stressor in stateful serving: the accumulation of idle or warm conversation state. For workloads with long reusable prefixes (code assistants, enterprise agents with large system prompts, repeated RAG scaffolds, document chat), the limiting resource frequently becomes HBM reserved for KV caches rather than compute. By compressing stale caches by ~20× (or more), the same HBM budget can retain a materially larger working set of cached prefixes, increasing cache hit rates and reducing recomputation. This effect is multiplicative with cache-aware routing and prefix sharing: more prefixes can remain resident (hot or warm) and can be routed to nodes that already hold them, improving both throughput and tail latency. However, kvtc as described does not reduce the active KV cache footprint during the actual attention computation for a currently decoding sequence, because the model operates on decompressed KV caches during decoding. Therefore, the method does not directly reduce HBM bandwidth consumed by attention kernels during steady-state decode, and does not directly address the “memory traffic per generated token” bottleneck that motivates online KV quantization and eviction strategies. The primary HBM benefit is increased effective capacity for caches between turns and reduced HBM pressure from storing many idle sessions, not reduced per-token decode bandwidth. Compression and decompression themselves consume GPU compute and memory bandwidth. The measured decompression TTFT of ~208ms–380ms in the provided benchmarks indicates that the overhead is real but can be materially smaller than recomputation of long prefixes. In an HBM-constrained serving environment, this overhead can be interpreted as a trade between (a) maintaining more caches warm and paying decompression on reuse versus (b) evicting caches and paying full prefill recomputation. The decision boundary will depend on distribution of inter-turn idle times, probability of reuse, and SLA sensitivity to TTFT. kvtc expands the feasible region where keeping caches is economically rational, especially for long prompts. CPU AND DRAM The method implies a stronger role for CPU DRAM as a warm KV cache tier. A ~20× compression ratio changes the practical scale of “warm state” that can be stored per server. Using the paper’s reported KV cache sizes, a 10K-token 16-bit KV cache for Llama 3.3 70B is ~3.13GiB; compressing by ~20× would reduce this to ~160MiB. At that size, storing hundreds to thousands of warm conversation states in DRAM becomes materially more feasible, increasing cache hit rates and reducing NVMe dependence. This can shift system design from “HBM-only hot caches with aggressive eviction” toward “HBM hot + DRAM warm with long retention,” which is structurally analogous to CPU page cache hierarchies in classical systems design. CPU compute implications depend on where compression is executed. The paper explicitly allows compression on CPU if the cache is already in storage, but the strongest bandwidth savings are achieved when compression happens before moving KV caches off the GPU. If an operator chooses GPU-side compression prior to PCIe/NVLink transfer, CPU compute overhead is modest (orchestrating and DP calibration offline). If an operator instead transfers uncompressed caches to CPU for compression, bandwidth savings are forfeited and CPU memory bandwidth becomes a bottleneck. Therefore, the most economically coherent deployment path is GPU-native compression/decompression with CPU DRAM used as the warm storage reservoir.

TheValueist

16,549 views • 8 months ago

I did not plan for this to change me. Nobody plans for that. You wake up, you go about your ordinary Tuesday, you have a list of things to do that has nothing to do with saving anything — and then something crosses your path that you cannot unsee. That's the part people never talk about. Not the rescue itself. The moment right before it, when you still have the option to keep walking. Most people keep walking. I want to be honest with you about that, because everyone who posts a "happy ending" video skips the part where they almost didn't stop. I almost didn't stop. There is a version of this story where I drive past, where I tell myself someone else will handle it, where I convince myself that getting involved is messy and expensive and inconvenient and above my pay grade as a human being. That version of the story exists in a thousand other places, right now, happening to a thousand other creatures nobody will ever post about. This is not that story. But it could have been. Watch until the end and you'll understand why I'm saying this instead of just captioning it "rescued a cat, so cute!!" and moving on with my day. Because it wasn't cute. Not at first. Not for a long time, actually. The first version of this story is ugly and quiet and full of doubt, and if you only want the pretty part, you can scroll to the end of the video and skip everything I'm about to tell you. But you'd be missing the whole point. Here's something nobody tells you about fear: it doesn't look like what you think it looks like. You imagine an animal in danger will look grateful the second help arrives. You imagine relief on its face, some kind of instant recognition that you're the good guy in this story. That is Hollywood. That is not real life. Real fear looks like resistance. Real fear looks like an animal that has been let down by the world so many times that it has stopped believing rescue is even a category that exists. Real trust has to be built one motionless, patient, boring minute at a time, and most people don't have the stomach for boring. Most people want the montage. Nobody wants the part where you sit there, doing nothing dramatic at all, just existing calmly nearby, over and over, until something in a terrified brain finally recalibrates and decides you're not a threat. That part isn't going in anyone's highlight reel. Except this time, it is. Because I think you need to see it. I think you need to see it because we have become a species addicted to instant everything. Instant food, instant answers, instant relationships that dissolve the second they require patience. And somewhere in that acceleration, we lost the muscle for slow devotion — the kind that doesn't post an update every day, the kind that doesn't get a like for showing up on day fourteen when nothing visible has changed yet. This video is proof that the boring days matter just as much as the breakthrough moment. Maybe more. The breakthrough moment gets the views. The boring days are what make the breakthrough possible at all. Let me ask you something, and I want you to actually sit with it instead of scrolling past: when was the last time you did something with zero guarantee it would work? Because that's what this was. There is no contract in rescue. Nobody hands you a guarantee that says "continue showing up and eventually this will resolve beautifully." You show up anyway. You show up on the days it feels pointless. You show up on the days you privately wonder if you're the one being unreasonable, if you should just accept that some situations don't have happy endings, if you're pouring time and money and worry into something that the universe has already decided the outcome of. And you show up again the next day anyway, because the alternative — walking away — was never actually a real option once you'd already looked into those eyes the first time. That's the secret nobody says out loud: once you really see a creature suffering, you can't fully unsee it. It moves into your head and sets up residence. It becomes a low hum underneath every other thing you do that day. You'll be at dinner, at work, half-listening to a conversation, and there it is again — that animal, that need, that unresolved thread pulling at you. People who haven't experienced this think rescuers are unusually noble or unusually sentimental. We're not. We're just people who got unlucky enough to actually look, and looking is the whole trick. Looking is the doorway you can't close once you've walked through it. I'm not telling you this to make myself sound like a hero. I want to be extremely clear about that, because I think the "hero rescuer" narrative is actually kind of dishonest and it lets everyone else off the hook. The truth is less flattering and more useful: I was scared too. I didn't know if this would work. I didn't have a plan that guaranteed success. I just had a decision to make in a specific moment, and I made the harder one instead of the easier one, and then I had to keep making that same harder decision, quietly, every single day after that, long after anyone was watching or cared. Most transformation looks like nothing while it's happening. That's the part that will wreck you if you actually pay attention to this video instead of just watching it for the dopamine hit at the end. The transformation in the middle of this story does not look like transformation. It looks like stagnation. It looks like two steps forward and four steps back. It looks like moments where you genuinely cannot tell if what you're doing is helping or just prolonging something. Nobody warns you that "getting better" often looks identical to "not getting better" until you're far enough past it to look back and finally see the shape of the arc. I think about this a lot in relation to more than just animals, honestly. I think about how we judge our own growth, our own healing, our own slow projects — we want the montage, we want the visible curve upward, and when we don't get it in a timeframe that feels reasonable, we assume we've failed. We assume the effort was wasted. We give up right before the part where it would have started to show. This video is, weirdly, a pretty good metaphor for that. Everything that mattered happened in the part that didn't look like anything was happening. There's a specific moment in this footage — I'm not going to tell you which one, because you need to feel it land yourself, not be told about it in advance — where something shifts. It's small. It's almost nothing. If you're not paying attention you could miss it entirely, and I almost did, in real time, because I wasn't expecting it and I certainly wasn't expecting it to matter as much as it turned out to matter. That's usually how the important moments work, by the way. The universe rarely announces them with a soundtrack swell. It just quietly hands you the hinge point and moves on, and you only recognize it in hindsight, days or weeks later, when you're piecing together how you got from point A to point B and you realize: oh. That was it. That was the moment everything actually started to turn. I've watched this footage back more times than I want to admit, and every single time, that moment gets me. Not because it's dramatic. Because it's the opposite of dramatic. It's small and quiet and almost embarrassingly simple, and that's exactly why it works on me every time. We've been trained by movies to expect big gestures as the marker of real change. Real change is smaller and stranger and much more moving than anything a screenwriter would ever put in a script, because real change doesn't care about being cinematic. It only cares about being true. I want to talk for a second about the difference between rescuing something and actually helping it, because they are not the same thing, and conflating them is one of the more common mistakes people make with good intentions. Rescuing is the dramatic part — the removal from danger, the single decisive act. Helping is everything after that, and it is unglamorous and repetitive and occasionally thankless, and it is also the part that actually determines the outcome. Anyone can have one good instinct in one good moment. Sustaining care past the point where it stops being interesting is a completely different skill, and it's the one that actually matters, and it's the one this video is really about if you look closely enough. There's a particular kind of exhaustion that comes with caregiving that doesn't have a finish line you can see. You're not told "three more weeks and this resolves." You're just told, implicitly, by the situation itself: keep going, we'll figure out when it's done when it's done. That's a strange kind of commitment to make. It requires a specific type of stubbornness that isn't really about hope, exactly — hope implies you're waiting for something external to happen to you. This is closer to resolve. Resolve doesn't wait for external permission to keep going. Resolve just keeps going, on principle, because the alternative was never actually a real option. I think a lot of people watch content like this and assume the animal is the only one who was changed by it. I want to push back on that gently, because it flattens the actual experience. Something in me was also different by the end of this than it was at the beginning. You cannot pour weeks of consistent, patient, uncertain effort into another living thing and come out the exact same person you went in as. It recalibrates something in you. It teaches you things about patience that no productivity book ever managed to teach me, because productivity books are about optimizing outcomes you can control, and this was the opposite of that — an outcome I could not control, that I could only show up for, day after day, and hope that the showing up eventually mattered. There's a reason stories like this spread the way they do, and it's not just "cute animal content," even though that's the label the algorithm slaps on it. I think it's because on some level, we are all quietly starving for proof that consistent, unglamorous effort still pays off in a world that keeps telling us the only things that count are the loud, fast, viral wins. We need reminders that the slow version still works. That showing up on the boring days is not wasted time. That the moment things change is usually preceded by a long, unremarkable stretch where absolutely nothing seemed to be happening at all, and that stretch was not actually wasted — it was the necessary, invisible groundwork the visible change was quietly built on top of. So here is what I actually want you to take from this, more than the video itself: the next time you're in the middle of something that isn't working yet, something you've been showing up for without any evidence it's paying off, something that everyone around you might reasonably tell you to give up on — I want you to remember that transformation does not announce itself in advance. It does not send you a schedule. It just asks you to keep showing up through the part that looks like nothing, because the part that looks like nothing is usually exactly where the whole thing turns. I didn't post this to get views, even though I know that's what everyone says and nobody ever actually means it. I posted it because I think there's something in this specific sequence of events that people need to actually watch, start to finish, without skipping ahead, without reading a summary, without letting someone else's caption replace the experience of seeing it unfold in real time the way it unfolded for me. Summaries kill things like this. A synopsis of a transformation is not the same as witnessing one. You already know this, somewhere — it's why book adaptations rarely land the same way the book did, why hearing about a sunset is not the same as standing under one. Some things have to be experienced directly or they don't actually transmit. That's the whole reason I'm asking you to actually watch this instead of scrolling past on the strength of this caption alone. Everything I've written here is context, not substance. The substance is in the footage. The substance is in watching fear slowly, unglamorously, incrementally give way to something else — and I promise you, if you sit through the parts that feel slow, the ending will hit differently than if you just jump to it. I've tested this on people. The ones who watch the whole thing react differently than the ones who skip to the last ten seconds. The context changes the payoff. That's not an accident. That's how transformation actually works, on video and in life: the payoff only means what it means because of everything unglamorous that came before it. Someone asked me why I even filmed any of this in the first place, given how uncertain the outcome was for most of it, and it's a fair question, because filming something you don't know the ending to is a strange act of faith in itself. The honest answer is that I didn't film it because I expected it to end well. I filmed it because I wanted a record, for myself, regardless of how it turned out — proof that the effort happened, proof that the days were real, proof that I showed up even on the days it felt pointless, whether or not there was ever going to be a satisfying conclusion to show anyone. That distinction matters more than it sounds like it should. Content made for an ending is different from content made as a record. You can feel the difference when you watch it, even if you can't always articulate why. The camera in this story was never a narrative device. It was a witness, and witnesses don't get to pick which parts are worth recording just because they're not sure yet how the story ends. The algorithm, for what it's worth, does not understand any of this. It cannot tell the difference between eleven seconds of manufactured chaos and eleven seconds pulled from something that took weeks of real, unglamorous, uncertain effort to earn. It rewards the same signals either way — the immediate hook, the retention curve, the completion rate — completely blind to what was actually required to produce the footage behind those numbers. I've made my peace with that, mostly, because I don't think content should be made for the algorithm's benefit in the first place. But I bring it up because I want you to understand that the length of this caption, the refusal to just give you a cute two-line summary and move on, is a deliberate act of friction against a system that wants everything reduced to its most easily digestible form. I'm asking you to actually read, actually sit with something, actually watch something in full, in a media environment engineered to discourage exactly that. If that annoys you, I understand. If it doesn't, I think you're exactly the kind of person this was made for. There's an old idea, older than social media, older than video itself, that witnessing changes the witness. You cannot fully observe suffering and stay exactly the same as you were before you observed it, not if you're paying real attention. I think that's actually the quiet mechanism behind why content like this spreads the way it does when it's real — it's not that people want to watch suffering, and it's not even really that people want to watch relief. It's that people want to be changed a little, safely, from the comfort of wherever they're sitting, by something true. We're all looking for small, low-stakes opportunities to feel something real in a scroll built almost entirely out of things engineered to feel real without costing anything. This costs something. Not much, not compared to what it cost to live through the actual weeks involved — but a few minutes of your real attention, spent on something true instead of something manufactured to extract that attention from you. That's a fair trade, I think. I wouldn't ask for it otherwise. Let's talk about the internet's obsession with orange cats for a second, because I think it's actually relevant here and not just a throwaway joke. There's a running bit online that orange cats are "the golden retrievers of the cat world" — a little chaotic, a little dumb in the most endearing way, incapable of subtlety, allergic to dignity. People love that stereotype because it's low stakes. It's comedy. It's the kind of content you consume for eleven seconds and forget by the time you've swiped to the next video. I want to be upfront that this is not that. This isn't the goofy-orange-cat-does-something-silly genre you're used to. This is something that starts in a completely different register and asks something different of you as a viewer — attention instead of amusement, patience instead of a quick laugh. If you came here expecting the usual orange-cat chaos content, recalibrate now, because what you're about to watch operates on a different emotional frequency entirely, and I think that contrast is part of why it hits as hard as it does. You're primed for comedy. You get something closer to a gut-punch, followed by something closer to grace. That whiplash is not an accident of editing. That whiplash is just what actually happened, in that order, in real life, and I didn't have to manufacture any of it. I also want to address the skeptics directly, because I know they exist and honestly, they should exist — the internet is genuinely full of staged rescue content, cats "saved" from situations they were placed into five minutes earlier by the same person filming, entire monetization pipelines built on manufactured suffering for engagement. That skepticism is earned. I'm not going to pretend it isn't a reasonable default position in 2026. What I will say is this: the only thing I can offer you against that skepticism is time. Time is the one thing you cannot fake convincingly across an extended sequence. Staged content wants your eleven seconds and your dopamine hit and then it wants you gone before you notice the seams. Real, extended, unglamorous care doesn't hold up as well under fabrication, because faking boredom, faking small unremarkable days, faking the parts where nothing dramatic happens — that's actually harder to fake than faking a single dramatic rescue moment. The boring middle is the tell. Manufactured content skips straight to the emotional peaks because manufacturing boring authenticity is expensive and pointless from a content-farming perspective. So if anything, the slowness of what you're about to watch should read as evidence, not despite itself but because of itself. I think about the phrase "it's just a cat" a lot, because I've heard it, and you've probably heard some version of it too, usually from someone who has never had to sit with a frightened creature and slowly, patiently earn its trust with nothing but consistency and time. I used to almost agree with that sentiment before I actually lived through something like this. Now I think the phrase says more about the person saying it than about the situation they're dismissing. Suffering doesn't require language to be real. Fear doesn't require a vocabulary to be legitimate. And the specific kind of trust that gets rebuilt between two creatures who don't share a language, who can't negotiate terms or explain intentions to each other, who have to communicate entirely through consistency, presence, and time — I'd argue that's actually a purer test of whether care is real than almost anything that happens between two humans who can just say "I promise I won't hurt you" out loud and have that count for something on its own. An animal doesn't take your word for it. An animal only believes what you repeatedly, boringly, unglamorously demonstrate. That's a much higher bar than most human relationships ever have to clear, and clearing it means something. There's also something worth saying about scars, visible and invisible, and how we relate to them once the crisis has passed. It would be easy — and honestly, more common — to frame a story like this purely around the after: the relief, the resolution, the moment everything looks fixed and clean and photogenic. But recovery doesn't erase what happened. It just changes the relationship you have to it. The fear doesn't fully disappear; it gets integrated, managed, outpaced by new experiences that slowly outweigh the old ones. I think that's actually a more honest and more useful thing to understand about healing in general, animal or human: you're not looking for the moment the bad thing never happened. You're looking for the moment the good outweighs it enough that the bad stops being the loudest voice in the room. That's a different, more achievable, more real goal than "erase the past," and I think this video quietly demonstrates the difference better than any explanation of it could. I also want to acknowledge, honestly, how much luck was involved in this, because I think pretending otherwise would be a disservice to the people currently in a similar situation without the same resources. Not everyone has the time to show up every single day. Not everyone has access to the kind of help that made parts of this possible. Not everyone has a schedule flexible enough to prioritize a creature that owes them nothing and offers no guarantees in return. I got lucky in ways that mattered, and I don't want to erase that luck from the story just because "hard work and heart" makes for a cleaner narrative. Both things are true at once: the effort mattered enormously, and the circumstances that allowed the effort to happen at all were not something everyone has equal access to. If you're in a position where you want to help something or someone but don't have the resources this required, that doesn't make your instinct to help any less real or any less valuable — it just means the shape your help takes might look different, smaller, more limited, and that's fine. Small, limited help consistently offered is still worth more than grand help that never actually materializes because the bar felt too high to start. I keep circling back to this idea of "the boring middle" because I genuinely think it's the single most important and most overlooked part of any real transformation story, and I think our current media environment has actively trained us to skip it, both as viewers and as people living our own lives. We've been fed thousands of hours of before-and-after content, transformation montages set to music, "watch this glow-up" edits that compress months into fifteen seconds — and somewhere in consuming all of that, we internalized a completely false model of how change actually happens. We started believing change is supposed to be visible, fast, and continuous. It isn't. Change is mostly invisible, mostly slow, and mostly non-continuous — it happens in fits and starts, with long flat stretches where it looks like nothing at all is occurring, followed by short bursts where everything that was quietly accumulating suddenly becomes visible all at once. If you only ever watch the burst, you'll never understand where it actually came from, and you'll assume your own flat stretches mean you're doing something wrong, when actually you might just be in the most important and least glamorous part of the whole process. I want to leave you with one more thought before you go press play, because I think it reframes everything else I've said here. We tend to think of rescue as something one party does to another — an active party and a passive recipient, a saver and a saved. But if you watch closely, really closely, you'll notice that's not quite what's happening in this footage. There's a second, quieter rescue happening in parallel, running underneath the obvious one, and it's not the kind that gets a caption of its own on most videos like this. I'm not going to spell it out for you. I think you'll recognize it when you see it, and I think it will mean more to you if you find it yourself instead of having it pointed out in advance. That's the last thing I'll say about the content itself. Everything else is yours to discover. One more thing, and then I'll let you go watch it. People keep asking me, in different words, some version of "was it worth it." I understand why they ask. It's a fair question when you're talking about weeks of uncertain effort with no guaranteed return. But I think the question itself reveals something about how we've been trained to think about care — as a transaction, an investment with an expected yield, something you calculate the ROI on before committing. I didn't do this because I ran the numbers and decided the expected outcome justified the input. I did it because in the specific moment I was faced with the choice, walking away was never actually available to me as an option, no matter how exhausted or uncertain I got later. And I think that's true of most things that end up mattering.

Earth Unveiled

230,860 views • 18 days ago

Someone stood on a piece of land, looked at a living, breathing dog who had done nothing but exist, and said: "Just shoot him dead." Not "get rid of him." Not "take him to a shelter." Not even "I don't want him anymore." Shoot him dead. I want you to sit with that sentence for a second before you keep scrolling, because everything that comes after it only makes sense once you understand how casually those five words get said in this world. Somewhere, right now, someone is saying a version of that sentence about a living thing that trusted them, or wanted to, or was still learning how. Most of the time nobody films it. Most of the time there's no ending. There's just a decision, made in under a second, by someone who will forget they ever made it. This time, someone didn't listen. This is the part where I'm supposed to tell you what happens next. I'm not going to. Not because I'm holding it hostage for engagement — okay, maybe a little — but mostly because the story doesn't work if I hand it to you pre-chewed. You need to watch a dog decide, in real time, whether the human species is worth the risk. You need to watch that calculation happen behind a pair of eyes that have every reason to say no. That's not something I can describe to you in a tweet. That's something you have to sit through. But I can tell you what it's about. It's about the gap. The invisible, unmeasurable gap between a dog who has been failed by people and a dog who has decided to try again anyway. Nobody talks about that gap. We talk about rescues like they're a single moment — the dramatic snatch, the shelter cage, the "and then everything was fine" — but that's not how trust works, and it's definitely not how fear works. Fear doesn't leave because you fed it once. Fear moves out slowly, one inch at a time, and it takes its shoes off at the door so you don't hear it coming back. PART ONE: THE VERDICT Here's what almost nobody says out loud: dogs get sentenced constantly, by people who will never be held accountable for the sentence. Too old. Too much energy. Too expensive. Doesn't match the new couch. Growled once at a toddler who was pulling its ears. In goes the verdict, out goes the dog — sometimes to a shelter, sometimes to a shed, sometimes to the side of a highway at 60 miles an hour with the door still swinging shut. And sometimes, if the owner is lazy enough and cruel enough at the same time, the sentence is the one you already read. Just shoot him dead. Nobody ever asks the dog's side. Obviously. He can't testify. He can't explain that he was scared of the vacuum, or that he barked at 2am because something moved in the yard, or that he never asked to be born into a house that saw him as a liability the second he became inconvenient. All he can do is react to what happens to him. And what happened to this one was a verdict that most animals never survive to tell. Except — spoiler-adjacent, not a spoiler — he did survive. That's the only thing I'll give you for free. He survived the verdict. What he did with the rest of the sentence, what it cost him to survive it, what he had to unlearn about people before he could stand near one without flinching — that's the part you're going to want your full attention for. PART TWO: THE DISTANCE THAT NOBODY MEASURES There's a very specific kind of animal behavior that people who haven't lived it will never fully understand: the dog who wants to come closer and physically cannot make his legs do it. You've maybe seen a version of it — the shelter dog pressed against the back wall of the kennel, the street dog who follows you for six blocks but won't take food from your hand, the "feral" label slapped onto an animal who is, underneath the label, simply doing math. Every approach is a risk assessment. Every human hand is a variable that could be gentle or could be the last thing he ever feels. You don't get to skip that math just because your intentions are good. The dog doesn't know your intentions. He only knows what hands have done before. So he keeps his distance. Not because he's unfriendly — dogs who've been failed are very often the most desperate to be loved, which is its own kind of tragic irony — but because distance is the only insurance policy he has left. He'll circle. He'll watch. He'll get close enough to almost, almost, and then something — a sound, a movement, a memory with no name attached to it — will send him back to the treeline, and you'll be left standing there wondering what you did wrong, when the honest answer is: nothing. It's not about you. It's about every hand that came before yours. This is the part of the story where most people give up. Not because they don't care, but because patience like that isn't natural. It goes against every instinct you have, watching a scared animal and wanting to just fix it today, right now, with one good meal and a soft voice. It doesn't work that way. It was never going to work that way. And the fact that someone didn't give up on this particular dog — that they let the timeline be the dog's timeline instead of their own — is the actual plot of the video you're about to watch. Not the reunion. The waiting. PART THREE: WHAT NOBODY TELLS YOU ABOUT REBUILDING TRUST You can't apologize your way into an animal's trust. You can't explain to a dog that you're not like the last person, that this time is different, that you promise. Words mean nothing to an animal whose entire understanding of humans has been written in actions. The only currency that works is repetition — showing up the same way, at the same pace, without asking for anything back, for so long that the dog's nervous system slowly, grudgingly, starts to recalibrate what a human standing nearby actually means. That recalibration has a cost, and the cost is time you don't get to see the value of until it's already paid. Every single day where nothing visibly changes is still doing something. The dog is watching. Filing data. Building, molecule by molecule, a case for why this particular human might be the exception. You don't get updates on that internal process. You just keep showing up and hope the math eventually tips in your favor. And when it does tip — when there's a first moment of contact, a first inch of distance closed that will never open back up the same way again — it doesn't look like a movie. It's not slow motion. It's not a soundtrack swelling. It's small, and quiet, and if you weren't paying close attention you'd almost miss it. Which is exactly why you need to actually watch this one instead of scrolling past assuming you already know how it goes. You don't. Nobody's story of rebuilding trust looks the same, and this one has a shape you haven't seen before. PART FOUR: THE CASUAL CRUELTY OF "JUST GET RID OF IT" Let's go back to that sentence, because I don't think we're done with it. Just shoot him dead. Think about what has to happen in a person's head for those words to come out that easily. It's not usually rage. Rage burns hot and fast and then it's gone. This is colder than that. This is the language of someone who has stopped seeing a living creature as a living creature and started seeing him as an inconvenience with a heartbeat — a problem to be solved, a line item to be closed, and closing it in the most permanent, least effortful way available. That mindset doesn't come from nowhere. It comes from a culture that has quietly taught a lot of people that animals are disposable the second they stop being convenient. That a dog is a product with a return policy. That love, if it was ever there at all, expires the moment it becomes inconvenient. You see it in the volume of animals abandoned every single year for reasons that amount to "we changed our minds." You see it in how easily people say "I'll just get another one" like a dog is a phone case. You see it in a sentence like the one that started this whole post — a sentence casual enough that the person saying it probably forgot they said it by the following week. But here's the thing about casual cruelty: it only wins if nobody's watching, and if nobody's willing to do the inconvenient thing instead. The inconvenient thing here wasn't dramatic. It wasn't a rescue montage. It was choosing, day after day, not to be the kind of person who says that sentence. It was choosing patience over convenience, presence over ultimatums, and a scared dog's timeline over anyone else's schedule. That's not a headline. That's just what actually saving something looks like, most of the time — unglamorous, slow, and completely invisible until suddenly it isn't. PART FIVE: THE QUESTION UNDERNEATH THE VIDEO Here's what I actually want you to sit with while you watch this, more than the dog, more than the backstory, more than the sentence that kicked the whole thing off: what would you have done? Not in theory. Not as the version of yourself that definitely would have been patient and kind and consistent for however many months or years it took. I mean actually — if a scared, unwanted animal showed up on your property and kept its distance for weeks, would you have kept showing up? If it took longer than you expected, would your patience have held? If someone told you it wasn't worth the effort, would you have believed them? Most people like to believe they'd be the exception. Most people, if we're honest, would've given up around week three. That's not a judgment — patience like that is genuinely hard, and most of us are stretched thin enough in our own lives without taking on a slow-motion trust rebuild with an animal who might never fully come around. But some people don't give up. Some people treat a scared, unwanted dog like he's worth more time than the person who wanted him dead ever gave him. And when you watch someone do that — really watch it, not skim past it — it recalibrates something in you too. It's hard to explain why watching a stranger be patient with a dog on the internet can hit as hard as it does. But it does. It always does. There's something in us that recognizes the shape of a second chance being handed to someone — something — who was told they didn't deserve one. PART SIX: WHY THIS ISN'T JUST A DOG VIDEO I know how this sounds. "It's just a dog video." I've said that about other videos too, right before they wrecked me completely. But there's a reason stories like this one land differently than the average "look how cute" clip. It's because underneath the surface, this isn't really about a dog. It's about the exact same question that shows up everywhere in human life, just translated into fur and silence and body language instead of words: what do you do with something — someone — who has been told they're not worth saving? Everyone reading this knows a version of that story that isn't about an animal. Maybe it's a person who was written off young and spent years proving the label wrong. Maybe it's a relationship everyone said wasn't worth the work. Maybe it's a version of yourself from a few years ago that a lot of people, maybe even you, had already given up on. The instinct to walk away from something difficult, something that isn't guaranteed to work out, something that might take way longer than feels reasonable — that instinct doesn't care whether the "something" has four legs or two. It shows up everywhere. And every time someone chooses to stay anyway, chooses the slow rebuild over the easy exit, it's worth paying attention to. Not because it's rare. Because it's rare enough that most of us forget it's even an option. PART SEVEN: WATCH IT PROPERLY So here's my actual ask, and it's a small one. Don't watch this with the sound off while you scroll to the next thing. Don't skip to the end because you already think you know how it goes — you don't, and skipping ahead will genuinely cost you the part that makes this different from every other rescue video you've seen this year. Watch the whole thing, start to finish, and pay attention to the parts that feel like nothing is happening. That's not filler. That's the actual story. The part where nothing seems to be happening is the part where everything is happening, quietly, underneath the surface, one cautious step at a time. By the time you get to the end, you'll understand exactly why that opening sentence exists at all — why I needed you to hear it before you saw a single frame. Because without it, this just looks like a dog being sweet. With it, you understand what that sweetness had to survive to exist. You understand what it costs an animal to trust again after someone decided his life wasn't worth the trouble of finding him a home. You understand that every soft moment in this video is standing on top of a decision that almost went the other way, made by someone who chose completely differently than the person before them. There is a version of this story that ends in a hole in the ground, unmarked, unremembered, unfilmed. Nobody would have known. That's the version that happens more often than any of us want to think about. This isn't that version. This is the other one — the rare one, the one that only exists because somebody looked at the same "inconvenient" animal that someone else wanted gone and decided that inconvenient wasn't the same thing as disposable. You're not going to get the details from me. You're going to have to watch it. But I'll tell you this much: by the end, "just shoot him dead" is going to sound less like a sentence someone said about a dog, and a lot more like a sentence that tells you everything you need to know about the person who said it — and absolutely nothing about the dog who proved them wrong. Watch until the very last second. The last few frames are the whole reason this post exists. If this hit you the way it hit me, don't just scroll past it silently. Send it to the one person in your life who still believes some things — some animals, some people — aren't worth the effort of saving. Let them sit with it the way I made you sit with that first sentence. Some verdicts deserve to be overturned in public. PART EIGHT: THE BIOLOGY OF A FLINCH There's a reason a dog like this doesn't just "get over it" the way people want him to. Fear like that isn't a personality trait. It's a nervous system that got rewired by repetition, the same way trust gets built by repetition — except rewiring fear takes a fraction of the time and undoing it takes ten times as long. One bad hand can undo a hundred good ones if it lands at the wrong moment. That's not the dog being dramatic. That's just how threat memory works in every mammal on this planet, humans included. You don't choose to flinch. Your body decides for you, based on evidence it collected before you were old enough to argue with it. So when you watch an animal hesitate at a hand that means no harm, you're not watching stubbornness. You're watching a very reasonable, very intelligent risk calculation running in real time, built entirely out of things that happened to him before anyone in this story ever showed up. The tragedy isn't that he was cautious. The tragedy is that caution was earned, fairly, by people who never had to answer for teaching it to him. What gets me every time I think about stories like this one is how much strength it actually takes to be cautious and still, eventually, choose to try again anyway. We love to talk about bravery like it only looks one way — loud, dramatic, obvious. Nobody talks about the bravery of a scared animal taking one more step toward a species that has already hurt him, on nothing but a hope that this time might be different. That's not the absence of fear. That's fear, fully present, being overridden by something even stronger. If you want to know what real courage looks like, it rarely looks like a superhero. More often it looks exactly like this — small, quiet, four-legged, and completely unaware that anyone's even watching. PART NINE: THE OTHER DOG NOBODY'S TALKING ABOUT There's a supporting character in this story who never asked to be one, and who honestly deserves more credit than he's going to get in the comments section. Every rescue story like this one has a hidden variable that nobody accounts for: the animal who was already there. The one who didn't have to share space, didn't have to share attention, didn't have to be patient with a nervous, unpredictable newcomer showing up on his territory uninvited. He could have made this so much harder. He didn't. And that quiet, uncomplicated generosity — the kind you only get from an animal who has never once calculated whether kindness is worth the risk — is doing more heavy lifting in this story than most people watching will ever notice. It's worth sitting with that for a second, too. Some of the most important characters in any redemption story aren't the ones being redeemed. They're the ones who simply didn't complicate it. Who didn't guard the door. Who treated a stranger's fear as something to be curious about instead of something to be threatened by. If there's a lesson buried in a dog who never asked for one, it might be that one. PART TEN: WHY THE INTERNET IS FULL OF FAKE VERSIONS OF THIS You've probably noticed there's an entire genre of content built around manufactured redemption arcs — staged rescues, dogs that were never actually in danger, timelines compressed into a single afternoon to make the "transformation" hit harder on camera. I'm not going to pretend that genre doesn't exist, because you've almost certainly seen it and been burned by it before, which is exactly why so many people scroll past real stories with the same skepticism they've built up for the fake ones. That skepticism is earned. It's also, in this case, going to work against you if you let it make you scroll past this one too. The difference between the manufactured version and the real one is almost always pacing. The fake version wants to get to the payoff as fast as possible because the payoff is the whole point of making it. The real version drags in places, hesitates in places, spends way too long on moments that don't look like anything is happening — because that's what actually rebuilding trust with a frightened animal looks like when nobody's editing it for maximum dopamine. If a story like this feels slower than you expected, that's not a flaw. That's the tell that it's real. Real trust doesn't hit its mark on a fifteen-second cut. PART ELEVEN: A NOTE FOR ANYONE WHO'S EVER FELT LIKE THE DOG IN THIS STORY I said earlier this isn't just a dog video, and I meant it, but I want to say the quiet part directly instead of leaving it as subtext. If you've ever been the "too much" one — too sensitive, too cautious, too slow to trust, too hard to love without a manual — this story is for you specifically, not just as a metaphor but as evidence. Evidence that the people who wanted to give up on you were wrong about what you were worth, the same way the person in this story was wrong. Evidence that being difficult to reach doesn't mean you're not worth reaching. Evidence that the right kind of patience doesn't get tired of you the way the wrong kind of person did. You don't owe anyone an explanation for how long it takes you to trust again after something breaks that trust. Nobody gets to put a timeline on your healing just because your timeline is inconvenient for them. The dog in this video didn't apologize for taking as long as he took, and he shouldn't have had to. Neither should you. The people worth keeping in your life are the ones who show up consistently enough, for long enough, without demanding a schedule for when you'll finally feel safe. Everyone else was never actually offering you safety in the first place. They were offering you a deadline. PART TWELVE: THE LAST THING I'LL SAY BEFORE YOU GO WATCH IT I've spent this entire post refusing to tell you what actually happens, and I'm going to keep doing that right up until the end, because the not-knowing is doing exactly what it's supposed to do — it's making you want to see it for yourself instead of taking my word for it. Good. That's the point. Some stories lose everything the second you summarize them. This is one of them. You can read a thousand words about the shape of trust being rebuilt, and none of them will land the way thirty seconds of actual footage will, because words can describe hesitation but they can't make you feel the seconds stretching while it happens. So go watch it. Watch the whole thing, not the highlight, not someone else's twelve-second repost with the context stripped out. Watch it start to finish, the way it was meant to be seen, and pay attention to how long the hard parts last compared to how short the resolution feels — because that ratio is the entire point. That imbalance, months of nothing followed by moments of everything, is what real change actually looks like, in dogs and in people both. It's never as fast as we want it to be. It's always worth it anyway. Somebody said "just shoot him dead" about a dog who turned out to be worth all of this. Go find out exactly how wrong they were. PART THIRTEEN: WHAT YOU'LL PROBABLY DO AFTER YOU WATCH IT I already know roughly how this goes, because it goes the same way every time a story like this actually lands. You'll watch it once, quickly, half-distracted, the way you watch most things in a feed built to keep you moving. And then something in the pacing, or the eyes, or the exact moment the hesitation breaks, is going to make you go back and watch it a second time, slower, actually paying attention this time. That second watch is always the one that gets people. The first watch is for your eyes. The second watch is for whatever part of you still remembers what it feels like to be given up on. Then you'll do the thing everyone does — you'll look at the comments, half expecting someone to have ruined it with a joke, and instead you'll find a wall of strangers who all had the exact same reaction you did, which is somehow both comforting and a little unsettling, because it means this feeling isn't rare. It means a lot of us are quietly carrying around the same soft spot for stories about being chosen after everyone else already walked away. We don't talk about that soft spot very often. We just recognize it instantly in each other whenever something like this shows up in the feed. And then, if the story really got you, you'll do the thing I already asked you to do earlier, except now you'll actually mean it — you'll send it to somebody. Not because you think they haven't seen a rescue video before. Because you want them to sit with that opening sentence the exact way you just did, cold, before they know how it ends. You want to watch their reaction the way someone once wanted to watch yours. That's not manipulation. That's just what people do with stories that matter to them. We pass them forward, hoping they land on someone the way they landed on us. PART FOURTEEN: THE ONE THING I WON'T LET YOU FORGET Before you go tap play, I need you to hold onto one detail, because it's the thread that ties this whole post together and it's easy to lose in a feed that moves as fast as this one does. The dog in this story is not a rare exception. He is not a lottery winner. He is one version, filmed and shared and lucky enough to have someone stubborn enough to see it through, of something that is happening constantly, everywhere, to animals who will never get a camera pointed at them and never get a caption written about them. For every one of him, there are dozens who got the other verdict. The one nobody films. The one that ends exactly where the sentence said it would. That's not meant to guilt you. It's meant to make the three minutes you're about to spend mean something more than entertainment. Every view, every share, every person who stops scrolling long enough to actually watch instead of skip, is a tiny, almost meaningless vote for the version of the story where patience wins instead of convenience. It won't save the ones who already didn't make it. But it might be the reason the next version of this story — the next scared animal on the next uncertain property, in front of the next person deciding whether he's worth the trouble — gets a different ending than the one that almost happened here. So watch it properly. Watch the pauses. Watch the eyes. Watch exactly how long it takes for something to shift, and remember that every second of that footage is standing on top of a decision someone made not to give up when giving up would have been so much easier, and so much faster, and so much more convenient. Somebody wanted him dead. Somebody else decided he was worth all of this instead. Now go watch which one turned out to be right.

Earth Unveiled

105,667 views • 18 days ago