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‘Died Suddenly Is Now Everywhere’: Data Analyst Sounds the Alarm on Disturbing Health Trends “Whatever’s going on is a disaster,” remarked former Blackrock portfolio manager Edward Dowd. • There’s an additional 4.2 million disabled Americans than 2.5 yrs ago. • Total medical claims and clearances are up 76.7% above... show more

The Vigilant Fox 🦊

1,975,601 subscribers

490,563 Aufrufe • vor 3 Jahren •via X (Twitter)

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The Vigilant Fox 🦊vor 3 Jahren

Here are more of the worrisome numbers of increased claims and clearances above trend in 2022: (Yearly PIP Clearances by Body System) Hematological - up 522% Auditory - up 121% Cardiovascular - up 121% Dermatological - up 138% Endocrine, metabolic, and thermoregulation - up 156% Gastrointestinal - up 145% Genito-urinary - up 143% Immune - up 115% Musculoskeletal - up 93% Neurological - up 107% Oncology - up 35% Psychiatric - up 124% Respiratory - up 93% Visual - up 80%

Profilbild von The Vigilant Fox 🦊

The Vigilant Fox 🦊vor 3 Jahren

This video you just watched was a featured segment from the latest episode of @HighWireTalk. You can watch the full episode here:

Profilbild von The Vigilant Fox 🦊

The Vigilant Fox 🦊vor 3 Jahren

And insurance whistleblowers say there's an alarming 23% to 24% rise in excess mortality among the millennial population.

Profilbild von These Current Years

These Current Yearsvor 3 Jahren

@DowdEdward I moved to a small town during covid, and you really notice the died suddenly more in a small community. Jobs go unfilled, booming restaurants close for lack of help. We have a least 10 dead in my small neighborhood maybe 100 total residents

Profilbild von Au79alpha | Vitam Impendere Vero

Au79alpha | Vitam Impendere Verovor 3 Jahren

@DowdEdward This is the first unreported genocide in history.

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Wealth Turtle 💰 🐢vor 3 Jahren

@DowdEdward Safe and effective lol

Profilbild von V I ₿ E Z 🌴

V I ₿ E Z 🌴vor 3 Jahren

My co-workers father was a healthy 60 year old. He was paralyzed by the 2nd pfizer Covid Vaccine in May 2021 He spent 4 months in the hospital and he was 1 of 4 in the hospital with the same exact issue. That was a smaller hospital. And when my co-worker posted about it on Facebook his account was suspended. His dad had to retire and now has to live in assisted living…His insurance isn’t covering a lot of the costs x Can’t make this up

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Mark’s Musings ✨vor 3 Jahren

@DowdEdward Seen so many cases of the suddenlies lately it’s bizarre and scary. Even more bizarre is the acceptance of it by everyone, you’d think they’d be in the streets with pitchforks looking for those that did this to them… But nah, nadda, just doting lambs compliant to the slaughter

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Vox Populivor 3 Jahren

@DowdEdward How long will the coverup continue?

Profilbild von ToothPicker

ToothPickervor 3 Jahren

@DowdEdward Ed dows was on this so early. Now we see excess death in Australia before covid hit and after the vax rollout. It’s so obvious what’s going on and there are no more ways out of this. The vax is killing people

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🚨 Ed Dowd Drops Bombshell Data: Hematological (Blood-Related) Claims Up 522% Above Trend in 2022 “The trends were stable — and then this exploded.” Continue reading below for more details ⬇️⬇️⬇️

🚨 Ed Dowd Drops Bombshell Data: Hematological (Blood-Related) Claims Up 522% Above Trend in 2022 “The trends were stable — and then this exploded.” Continue reading below for more details ⬇️⬇️⬇️

The Vigilant Fox 🦊

1,047,882 Aufrufe • vor 3 Jahren

This is very alarming Housing developers are realizing that selling parcels to data center developers is far more profitable than building homes “AI data centers aren't just using electricity and water. They're using land previously planned for homes” - 55 homes were purchased for nearly $1 million per house and knocked down to build data centers outside of Chicago - Amazon paid $700 million for land so they could build a data center instead of homes - Meta, Amazon, Microsoft, and Alphabet are spending more money on data centers than the US spent on railroads in the the interstate highway system in the 1950s, and more than the US spent on the Apollo space program States are choosing data centers over homes. There are real examples of this Northern Virginia is the center of this phenomenon known as Data Center Alley, even though the region has a shortage of more than 75,000 homes I found real devastating examples of this happening: Prince William County / Bristow, Virginia (Northern Virginia “Data Center Alley”) The homebuilder Steve Alloy’s company was preparing to develop 516 new homes when surrounding land was rapidly bought up by Microsoft, Google, and other data center operators instead. Nearby, the Village Place housing project entitled for 250 additional units had its land sold to a data center developer for $31 million Stanley Martin Homes Land Flip to Amazon, Prince William County, Virginia Residential homebuilder Stanley Martin Homes assembled 270 acres for about $51 million. They flipped most of it to Amazon for $700 million In Suburban Chicago Illinois. Stream Data Centers bought a 55 home subdivision for nearly $1 million per home, demolished the houses, and built a 2.1 million sq ft data center campus This must be stopped. We have starter home affordable crisis already

This is very alarming Housing developers are realizing that selling parcels to data center developers is far more profitable than building homes “AI data centers aren't just using electricity and water. They're using land previously planned for homes” - 55 homes were purchased for nearly $1 million per house and knocked down to build data centers outside of Chicago - Amazon paid $700 million for land so they could build a data center instead of homes - Meta, Amazon, Microsoft, and Alphabet are spending more money on data centers than the US spent on railroads in the the interstate highway system in the 1950s, and more than the US spent on the Apollo space program States are choosing data centers over homes. There are real examples of this Northern Virginia is the center of this phenomenon known as Data Center Alley, even though the region has a shortage of more than 75,000 homes I found real devastating examples of this happening: Prince William County / Bristow, Virginia (Northern Virginia “Data Center Alley”) The homebuilder Steve Alloy’s company was preparing to develop 516 new homes when surrounding land was rapidly bought up by Microsoft, Google, and other data center operators instead. Nearby, the Village Place housing project entitled for 250 additional units had its land sold to a data center developer for $31 million Stanley Martin Homes Land Flip to Amazon, Prince William County, Virginia Residential homebuilder Stanley Martin Homes assembled 270 acres for about $51 million. They flipped most of it to Amazon for $700 million In Suburban Chicago Illinois. Stream Data Centers bought a 55 home subdivision for nearly $1 million per home, demolished the houses, and built a 2.1 million sq ft data center campus This must be stopped. We have starter home affordable crisis already

Wall Street Apes

62,494 Aufrufe • vor 4 Monaten

The Covid-jab slaughter machine continues to kill Americans quietly in the background🩸💉🤫 "Excess deaths coming out of the Covid era peaked nationally in 2021 at 31%... now it's running between 5 and 10%" "These aren't my numbers. This is Swiss Re" "And, of course, they blame Covid for that. I myself have another opinion, as you know, which I won't mention on YouTube, but my opinion is different" "But excess deaths are still running above normal. And we have declining birth rates [too]" This clip of former BlackRock fund manager Ed Dowd (Edward Dowd) is taken from a conversation with Mark Moss (Mark Moss) posted to YouTube on July 22, 2026

The Covid-jab slaughter machine continues to kill Americans quietly in the background🩸💉🤫 "Excess deaths coming out of the Covid era peaked nationally in 2021 at 31%... now it's running between 5 and 10%" "These aren't my numbers. This is Swiss Re" "And, of course, they blame Covid for that. I myself have another opinion, as you know, which I won't mention on YouTube, but my opinion is different" "But excess deaths are still running above normal. And we have declining birth rates [too]" This clip of former BlackRock fund manager Ed Dowd (Edward Dowd) is taken from a conversation with Mark Moss (Mark Moss) posted to YouTube on July 22, 2026

Sense Receptor

20,430 Aufrufe • vor 2 Monaten

⚡️U.S. national debt has surpassed a staggering $40 trillion for the first time That’s according to Reuters, citing data from the U.S. Treasury. And it’s not just the eye-watering total that’s a problem: interest payments alone are costing the U.S. more than $3 billion every day. The government is now spending more on interest than on the Pentagon, and in 2026, interest costs even surpassed Medicare spending. Michael Peterson, Chairman and CEO of the Peter G. Peterson Foundation, warns that the growing national debt is making loans more expensive for Americans and putting an increasingly heavy burden on the federal budget.

⚡️U.S. national debt has surpassed a staggering $40 trillion for the first time That’s according to Reuters, citing data from the U.S. Treasury. And it’s not just the eye-watering total that’s a problem: interest payments alone are costing the U.S. more than $3 billion every day. The government is now spending more on interest than on the Pentagon, and in 2026, interest costs even surpassed Medicare spending. Michael Peterson, Chairman and CEO of the Peter G. Peterson Foundation, warns that the growing national debt is making loans more expensive for Americans and putting an increasingly heavy burden on the federal budget.

NEXTA

36,507 Aufrufe • vor 1 Monat

Every major AI lab is spending billions on compute, and virtually all of it flows through Nvidia. The Blackwell architecture is sold out through 2027, margins are above 75%, and the data center segment alone is growing faster than most entire companies. I keep hearing that $NVDA is "priced in" but the earnings revisions keep going up, not down. At 25x forward earnings for a company growing revenue 90% YoY, this is still the safest AI bet in the market.

Every major AI lab is spending billions on compute, and virtually all of it flows through Nvidia. The Blackwell architecture is sold out through 2027, margins are above 75%, and the data center segment alone is growing faster than most entire companies. I keep hearing that $NVDA is "priced in" but the earnings revisions keep going up, not down. At 25x forward earnings for a company growing revenue 90% YoY, this is still the safest AI bet in the market.

VirtualBacon

11,006 Aufrufe • vor 5 Monaten

Former BlackRock fund manager Ed Dowd on the "old con" surrounding the AI data center buildout and how it'll blow up in corrupt politicians' faces "This is an old con. Hollywood movies have been made about this, and senators have been caught doing this" "You know a development is going to go up, and you know ahead of time where it's going to go, [so] you buy—for your approval—land around and adjacent to it for pennies on the dollar where no one's built anything" "Then you grease the skids to get the approvals, then you sell that land, [and get] some shadow LLCs in the Cayman Islands [to serve as the facade in your end of the sale], and you make millions" "It's a backdoor bribe. This has been going on forever" "This went on during the railroad building days" "[But] I think these guys have gotten ahead of themselves, and I think a lot of these guys are going to be left holding the bag on the land that they bought" "Human psychology works for crooks too" "[And] this [AI] frenzy is going to burst... and bubbles work on everybody... Insiders get swept up in it too" "And some insiders are going to get wiped out" Shannon Joy Edward Dowd

Former BlackRock fund manager Ed Dowd on the "old con" surrounding the AI data center buildout and how it'll blow up in corrupt politicians' faces "This is an old con. Hollywood movies have been made about this, and senators have been caught doing this" "You know a development is going to go up, and you know ahead of time where it's going to go, [so] you buy—for your approval—land around and adjacent to it for pennies on the dollar where no one's built anything" "Then you grease the skids to get the approvals, then you sell that land, [and get] some shadow LLCs in the Cayman Islands [to serve as the facade in your end of the sale], and you make millions" "It's a backdoor bribe. This has been going on forever" "This went on during the railroad building days" "[But] I think these guys have gotten ahead of themselves, and I think a lot of these guys are going to be left holding the bag on the land that they bought" "Human psychology works for crooks too" "[And] this [AI] frenzy is going to burst... and bubbles work on everybody... Insiders get swept up in it too" "And some insiders are going to get wiped out" Shannon Joy Edward Dowd

Sense Receptor

63,131 Aufrufe • vor 3 Monaten

"WE PUT TOGETHER A VACCINE DAMAGE REPORT... THE HUMAN COST FROM MRNA VACCINES... [IS] 300,000 EXCESS DEATHS IN '21 AND '22 [IN THE U.S.]..." "WE CAME UP WITH 26.6 MILLION VACCINE-INJURED [AMERICANS], WHICH WE'RE SAYING [ARE] CHRONICALLY SICK AND MISSING WORK." In this interview with Dr. Drew (Dr. Drew) and Dr. Kelly Victory (Kelly Victory MD), former BlackRock fund manager and founding partner at Phinance Technologies Edward Dowd (Edward Dowd) outlines the enormous toll the COVID-19 injections have taken on America: in terms of lives lost, disabilities, injuries, and economic cost. Dowd, who's previously said he thinks COVID's "being used as cover to prevent the coming riots from... [global] financial collapse" (read more here: says he and his team estimate the injections killed 300,000 Americans in 2021 and 2022, injured more than 26 million, and cost the country $150 billion worth of lost work time in 2022 alone. "[W]e did an analysis of the U.S., specifically because we have the best data in terms of disabilities and whatnot, and, using the U.S. Bureau of Labor Statistics coupled with excess mortality... we put together a vaccine damage report," Dowd tells Drew and Victory. He notes that his team's damage report—conservatively—pegs "300,000 excess deaths in '21 and '22 from the vaccine." The damage report also highlights 1.36 million cumulative disabilities from the COVID injections in the U.S., as well as 26.6 million "vaccine-injured" Americans; that is, Americans who are "chronically sick and missing work." "So that's a total of about 30 million Americans [affected]; about 10% of the population," Dowd says. He adds "That actually foots with what we saw [with] the adverse reactions in the clinical trials, so this is not too far off that number." Read more about the damage report on the Phinance Technologies website:

"WE PUT TOGETHER A VACCINE DAMAGE REPORT... THE HUMAN COST FROM MRNA VACCINES... [IS] 300,000 EXCESS DEATHS IN '21 AND '22 [IN THE U.S.]..." "WE CAME UP WITH 26.6 MILLION VACCINE-INJURED [AMERICANS], WHICH WE'RE SAYING [ARE] CHRONICALLY SICK AND MISSING WORK." In this interview with Dr. Drew (Dr. Drew) and Dr. Kelly Victory (Kelly Victory MD), former BlackRock fund manager and founding partner at Phinance Technologies Edward Dowd (Edward Dowd) outlines the enormous toll the COVID-19 injections have taken on America: in terms of lives lost, disabilities, injuries, and economic cost. Dowd, who's previously said he thinks COVID's "being used as cover to prevent the coming riots from... [global] financial collapse" (read more here: says he and his team estimate the injections killed 300,000 Americans in 2021 and 2022, injured more than 26 million, and cost the country $150 billion worth of lost work time in 2022 alone. "[W]e did an analysis of the U.S., specifically because we have the best data in terms of disabilities and whatnot, and, using the U.S. Bureau of Labor Statistics coupled with excess mortality... we put together a vaccine damage report," Dowd tells Drew and Victory. He notes that his team's damage report—conservatively—pegs "300,000 excess deaths in '21 and '22 from the vaccine." The damage report also highlights 1.36 million cumulative disabilities from the COVID injections in the U.S., as well as 26.6 million "vaccine-injured" Americans; that is, Americans who are "chronically sick and missing work." "So that's a total of about 30 million Americans [affected]; about 10% of the population," Dowd says. He adds "That actually foots with what we saw [with] the adverse reactions in the clinical trials, so this is not too far off that number." Read more about the damage report on the Phinance Technologies website:

Sense Receptor

351,571 Aufrufe • vor 3 Jahren

I’ve been quietly investigating water contamination in the UK’s supply chain, submitting FOI requests to nearly every water company for data spanning the past five years. I’m now beginning to receive official lab results — and what’s emerging is deeply concerning. Here’s what one water company’s data shows: – One water sample recorded 1.8 MILLION µg/L of lead — that’s 180,000 times the UK legal limit (10 µg/L) – Multiple spikes in iron, copper, aluminium, manganese, and nickel – No data disclosed on microplastics, PFAS (forever chemicals), or pharmaceuticals – Every breach triggered internal risk reviews — but no public warnings are mentioned in the FOI response Yes — this is pre-treatment data. But if contamination is this high at the source, it raises serious questions about infrastructure, monitoring, and public transparency. This is just one company. More data is on the way. The British public deserves to know what might be in their water. P.S. A big thank you to Josh Ferme for looking over the data — and apologies for mispronouncing your surname after all these years.

I’ve been quietly investigating water contamination in the UK’s supply chain, submitting FOI requests to nearly every water company for data spanning the past five years. I’m now beginning to receive official lab results — and what’s emerging is deeply concerning. Here’s what one water company’s data shows: – One water sample recorded 1.8 MILLION µg/L of lead — that’s 180,000 times the UK legal limit (10 µg/L) – Multiple spikes in iron, copper, aluminium, manganese, and nickel – No data disclosed on microplastics, PFAS (forever chemicals), or pharmaceuticals – Every breach triggered internal risk reviews — but no public warnings are mentioned in the FOI response Yes — this is pre-treatment data. But if contamination is this high at the source, it raises serious questions about infrastructure, monitoring, and public transparency. This is just one company. More data is on the way. The British public deserves to know what might be in their water. P.S. A big thank you to Josh Ferme for looking over the data — and apologies for mispronouncing your surname after all these years.

Lewis Brackpool

101,583 Aufrufe • vor 1 Jahr

Former #Ravens kicker Justin Tucker, an All-Pro reinstated by #NFL after serving personal conduct policy suspension who has worked out for #Saints #Colts, displays his old form in July workout analytics Simon Mathiesen, head of Trackman Football TrackMan Football 'Justin Tucker’s Trackman data from his workouts are comparable to the data that was gathered on him from 2019-2022. These data points include his ball speed, ball height at the LOS (trajectory), and accuracy. Tucker’s three workouts the last week are some of the best sessions ever recorded on Trackman. Very rare that any kicker charts an accuracy score above 95, let alone three sessions in a row within a week.' Tucker’s agent Rob Roche 1OF1AGENCY 'Whoever signs Justin is going to be getting the best version of him that has ever played.'

Former #Ravens kicker Justin Tucker, an All-Pro reinstated by #NFL after serving personal conduct policy suspension who has worked out for #Saints #Colts, displays his old form in July workout analytics Simon Mathiesen, head of Trackman Football TrackMan Football 'Justin Tucker’s Trackman data from his workouts are comparable to the data that was gathered on him from 2019-2022. These data points include his ball speed, ball height at the LOS (trajectory), and accuracy. Tucker’s three workouts the last week are some of the best sessions ever recorded on Trackman. Very rare that any kicker charts an accuracy score above 95, let alone three sessions in a row within a week.' Tucker’s agent Rob Roche 1OF1AGENCY 'Whoever signs Justin is going to be getting the best version of him that has ever played.'

Aaron Wilson

26,534 Aufrufe • vor 1 Monat

Disturbing data from an Italian study of nearly 300,000 individuals reveals a significant increase in cancer risk post-COVID vaccination. Dr. John Campbell breaks down the alarming findings: • The rate of first cancer hospitalization in the UNvaccinated cohort was 0.85%. • In the VACCINATED cohort, the rate jumped to 1.15%—a concerning and statistically significant increase. This wasn't a fluke. The results have a p-value of <0.001, meaning there's less than a 1 in 1000 chance this happened by random chance. Why is this happening? Dr. Campbell outlines plausible biological mechanisms: • Ongoing spike protein production driving chronic inflammation, a known precursor to cancer. • DNA contamination in the vaccines, potentially inhibiting tumor suppressor genes. • Frameshifting from pseudouridine, creating rogue proteins that can cause cellular damage and mutation. The most damning part? This crucial data is being withheld from the public in the UK and other Western nations. Our governments are depriving scientists of the vaxxed vs. unvaxxed data needed to perform this exact analysis. This lack of transparency is, in Dr. Campbell's view, "quite outrageous" and compromises a potential cover-up. This Italian province's data is a canary in the coal mine. If these figures are extrapolated to populations of 50 million or more, the implications are staggering. We are being kept in the dark. It is time to demand transparency. It is time to demand the data.

Disturbing data from an Italian study of nearly 300,000 individuals reveals a significant increase in cancer risk post-COVID vaccination. Dr. John Campbell breaks down the alarming findings: • The rate of first cancer hospitalization in the UNvaccinated cohort was 0.85%. • In the VACCINATED cohort, the rate jumped to 1.15%—a concerning and statistically significant increase. This wasn't a fluke. The results have a p-value of <0.001, meaning there's less than a 1 in 1000 chance this happened by random chance. Why is this happening? Dr. Campbell outlines plausible biological mechanisms: • Ongoing spike protein production driving chronic inflammation, a known precursor to cancer. • DNA contamination in the vaccines, potentially inhibiting tumor suppressor genes. • Frameshifting from pseudouridine, creating rogue proteins that can cause cellular damage and mutation. The most damning part? This crucial data is being withheld from the public in the UK and other Western nations. Our governments are depriving scientists of the vaxxed vs. unvaxxed data needed to perform this exact analysis. This lack of transparency is, in Dr. Campbell's view, "quite outrageous" and compromises a potential cover-up. This Italian province's data is a canary in the coal mine. If these figures are extrapolated to populations of 50 million or more, the implications are staggering. We are being kept in the dark. It is time to demand transparency. It is time to demand the data.

Camus

62,673 Aufrufe • vor 1 Jahr

Edward Dowd - A Wall St. Tycoon Author Of "Cause Unknown" Decoding Sudden Death Epidemics With Facts Mscs Media #303 Spotify Edward Dowd Edward Dowd is the author of “Cause Unknown”: ⁠ The Epidemic of Sudden Deaths in 2021 and 2022. What is causing the epidemic of sudden deaths? What have we been lied to about? Why did the government push so fast for mRNA vaccines? Mr. Dowd is not political and or a doctor, he's a master at predictions, trends, and math. Mr. Dowd's findings were unbiased and backed by facts. A founding partner with Phinance Technologies a global macro alternative investment firm. He has worked on Wall Street most of his career spanning both credit markets and equity markets. Some of the firms he worked for include HSBC, Donaldson Lufkin & Jenrette, Independence Investments, and most notably at Blackrock as a portfolio manager where he managed a $14 billion Growth equity portfolio for ten years. ⁠ V Damage Project:⁠⁠ total damage inflicted by the global vaccine program. ⁠Excess Mortality Project⁠: Analysis of excess mortality US - Disabilities Project: Analysis of trends in disabilities. US - Absences Project ⁠ ⁠ Analysis of increases in the absence and lost work time rates using data from the BLS.⁠ Robert W Malone, MD Peter A. McCullough, MD, MPH® Died Suddenly #podcast #Vaccine #causeunknown #Death #facts #mscsmedia

Edward Dowd - A Wall St. Tycoon Author Of "Cause Unknown" Decoding Sudden Death Epidemics With Facts Mscs Media #303 Spotify Edward Dowd Edward Dowd is the author of “Cause Unknown”: ⁠ The Epidemic of Sudden Deaths in 2021 and 2022. What is causing the epidemic of sudden deaths? What have we been lied to about? Why did the government push so fast for mRNA vaccines? Mr. Dowd is not political and or a doctor, he's a master at predictions, trends, and math. Mr. Dowd's findings were unbiased and backed by facts. A founding partner with Phinance Technologies a global macro alternative investment firm. He has worked on Wall Street most of his career spanning both credit markets and equity markets. Some of the firms he worked for include HSBC, Donaldson Lufkin & Jenrette, Independence Investments, and most notably at Blackrock as a portfolio manager where he managed a $14 billion Growth equity portfolio for ten years. ⁠ V Damage Project:⁠⁠ total damage inflicted by the global vaccine program. ⁠Excess Mortality Project⁠: Analysis of excess mortality US - Disabilities Project: Analysis of trends in disabilities. US - Absences Project ⁠ ⁠ Analysis of increases in the absence and lost work time rates using data from the BLS.⁠ Robert W Malone, MD Peter A. McCullough, MD, MPH® Died Suddenly #podcast #Vaccine #causeunknown #Death #facts #mscsmedia

Mscs Media

1,393,046 Aufrufe • vor 3 Jahren

“We have an AI bubble.” Edward Dowd just revealed an uncomfortable truth about AI data center spending. GDP growth for Q4 2025 came in at 0.7%. But … “If you back out the data center AI GDP number, about 1.5%, which doesn’t really add to the labor force, we were negative GDP.” AI capital expenditure has been “driving a lot of the GDP, and especially Nvidia.” But Dowd warns that that’s about to change. “AI CapEx is gonna be rolling over very soon.” “We just made the power complex that much more expensive.” “We don’t have enough electricity and water to fund all this CapEx for AI.” “It’s already starting to show signs of cracking because the debt markets are questioning the ROI on the whole complex.” “There’s not enough revenue to support this CapEx spend.” Edward Dowd Jeffrey A Tucker

“We have an AI bubble.” Edward Dowd just revealed an uncomfortable truth about AI data center spending. GDP growth for Q4 2025 came in at 0.7%. But … “If you back out the data center AI GDP number, about 1.5%, which doesn’t really add to the labor force, we were negative GDP.” AI capital expenditure has been “driving a lot of the GDP, and especially Nvidia.” But Dowd warns that that’s about to change. “AI CapEx is gonna be rolling over very soon.” “We just made the power complex that much more expensive.” “We don’t have enough electricity and water to fund all this CapEx for AI.” “It’s already starting to show signs of cracking because the debt markets are questioning the ROI on the whole complex.” “There’s not enough revenue to support this CapEx spend.” Edward Dowd Jeffrey A Tucker

Brownstone Institute

23,331 Aufrufe • vor 2 Monaten

🚨NEW ZEALAND IN FULL BLOWN PANIC MODE! Health Care Worker/Data Administrator, Barry young, BLEW THE LID on How Many People Truly Died from Pfizer Vaccine Batches! He Was Then Raided and Now Faces 7 Years in Prison WHAT HAPPENED? Barry Young worked on a project at “Te Whatu Ora” as a data administrator to implement a vaccine payment system to providers. Te Whatu Ora is a Public Health Agency established by the New Zealand Government. Because Barry helped build this system, he had access to vaccine-related data and he was shocked to learn that a lot of people were dying a week after being vaccinated. Shocked at his discovery, he downloaded and shared that data with the world. THREE VIDEO BREAKDOWN: VIDEO #1 Barry Young breaks down how he came about this data and the Pfizer Vaccine batch data, showing a death rate ranging between 5-25%. VIDEO #2 Liz Gunn sounds the alarm that Barry Young, as well as someone who corroborated his findings, was RAIDED! She calls for a global effort to make this story known. VIDEO #3 The significance of this data being released. More context. WHERE THINGS ARE NOW: Te Whatu Ora has been granted an injunction that "prevents any publication of the data" by the Employment Relations Authority. Te Whatu Ora has alleged Young downloaded the data, and has since removed all his access to their systems. Barry Young, was charged with accessing a computer system for “dishonest purposes”, which carries a maximum penalty of seven years' prison. The police said they would be opposing his release on bail, because of the risk he could continue to spread “misinformation.” UNBELIEVABLE! I hope the people of New Zealand stand with this man. #nzdataleak

🚨NEW ZEALAND IN FULL BLOWN PANIC MODE! Health Care Worker/Data Administrator, Barry young, BLEW THE LID on How Many People Truly Died from Pfizer Vaccine Batches! He Was Then Raided and Now Faces 7 Years in Prison WHAT HAPPENED? Barry Young worked on a project at “Te Whatu Ora” as a data administrator to implement a vaccine payment system to providers. Te Whatu Ora is a Public Health Agency established by the New Zealand Government. Because Barry helped build this system, he had access to vaccine-related data and he was shocked to learn that a lot of people were dying a week after being vaccinated. Shocked at his discovery, he downloaded and shared that data with the world. THREE VIDEO BREAKDOWN: VIDEO #1 Barry Young breaks down how he came about this data and the Pfizer Vaccine batch data, showing a death rate ranging between 5-25%. VIDEO #2 Liz Gunn sounds the alarm that Barry Young, as well as someone who corroborated his findings, was RAIDED! She calls for a global effort to make this story known. VIDEO #3 The significance of this data being released. More context. WHERE THINGS ARE NOW: Te Whatu Ora has been granted an injunction that "prevents any publication of the data" by the Employment Relations Authority. Te Whatu Ora has alleged Young downloaded the data, and has since removed all his access to their systems. Barry Young, was charged with accessing a computer system for “dishonest purposes”, which carries a maximum penalty of seven years' prison. The police said they would be opposing his release on bail, because of the risk he could continue to spread “misinformation.” UNBELIEVABLE! I hope the people of New Zealand stand with this man. #nzdataleak

jamiemcintyre

432,513 Aufrufe • vor 2 Jahren

Traditional data pipelines don't work for RAG applications. There are 3 issues with them: 1. Traditional data engineering solutions are optimized to handle structured data. RAG applications rely primarily on unstructured data. 2. The connector ecosystem to load data from unstructured data sources is very immature. 3. Traditional solutions do not offer any way to transform unstructured data into an optimized vector search index. The goal of a RAG Pipeline is to solve these problems. The number one objective is to create a reliable vector search index using factual knowledge and relevant context. This sounds easy, but it's one of the biggest challenges we face when building RAG applications. At a high level, there are four different stages in the architecture of a RAG pipeline: 1. Ingestion: Here is where the pipeline loads the information from the data source. 2. Extraction: Where the pipeline processes the input data and decides how to retrieve the text contained inside them. 3. Transform: Where the pipeline chunks the data and generates document embeddings. 4. Load: Where the pipeline creates a search index in a vector database and loads the document embeddings. There are different rabbit holes at each one of these stages. Here are three of them: 1. Ingesting data once is simple. The hard part is refreshing the vector database whenever the original data source changes. 2. Extracting the content of a plain text document is simple. The hard part is to extract content from complex documents containing tables, images, or cross-references. 3. A simple continual chunking strategy with an overlap is simple. The hard part is to find the optimal strategy for your specific knowledge base and the way you are planning to query it. In the attached video, I'll show you how you can build an enterprise-grade RAG Pipeline that solves every one of the above problems. I'll use Vectorize. They partnered with me on this post. You can use them to build RAG pipelines optimized for accurate context retrieval. If you have a few documents lying around, set up a free account and give it a try.

Traditional data pipelines don't work for RAG applications. There are 3 issues with them: 1. Traditional data engineering solutions are optimized to handle structured data. RAG applications rely primarily on unstructured data. 2. The connector ecosystem to load data from unstructured data sources is very immature. 3. Traditional solutions do not offer any way to transform unstructured data into an optimized vector search index. The goal of a RAG Pipeline is to solve these problems. The number one objective is to create a reliable vector search index using factual knowledge and relevant context. This sounds easy, but it's one of the biggest challenges we face when building RAG applications. At a high level, there are four different stages in the architecture of a RAG pipeline: 1. Ingestion: Here is where the pipeline loads the information from the data source. 2. Extraction: Where the pipeline processes the input data and decides how to retrieve the text contained inside them. 3. Transform: Where the pipeline chunks the data and generates document embeddings. 4. Load: Where the pipeline creates a search index in a vector database and loads the document embeddings. There are different rabbit holes at each one of these stages. Here are three of them: 1. Ingesting data once is simple. The hard part is refreshing the vector database whenever the original data source changes. 2. Extracting the content of a plain text document is simple. The hard part is to extract content from complex documents containing tables, images, or cross-references. 3. A simple continual chunking strategy with an overlap is simple. The hard part is to find the optimal strategy for your specific knowledge base and the way you are planning to query it. In the attached video, I'll show you how you can build an enterprise-grade RAG Pipeline that solves every one of the above problems. I'll use Vectorize. They partnered with me on this post. You can use them to build RAG pipelines optimized for accurate context retrieval. If you have a few documents lying around, set up a free account and give it a try.

Santiago

40,627 Aufrufe • vor 1 Jahr

Major program launch: Data Analytics Professional Certificate! This large, five-course sequence takes you all the way to being job-ready as a data analyst, and shows how to use Generative AI as a thought partner to enhance your work in this role. Offered by on Coursera, this is taught by Sean Barnes, Ph.D., a Data Science & Engineering Leader at Netflix. Analyzing data remains one of the most important skills in where the world is going with AI. This comprehensive certificate takes you all the way to being job-ready. Each course comes with practical projects demonstrated in real-world contexts, such as analyzing sales data for a Korean bakery, video game sales trends across different regions, or identifying factors impacting customer retention for a communications company. You'll also work on estimating fire distribution for forest fire prevention, analyzing how a diamond's properties affect its market value, and developing predictive models for retail sales analysis, carbon emissions, and coral reef conservation. Here's some of what you'll learn: - How to define data and categorize it into its many types such as discrete & continuous numerical, structured & unstructured, time series, categorical, and know what insights can be derived from the different types of data categories. - How to differentiate between data-related job roles and their responsibilities, and how data flows through an organization from the moment of capture to decision-making. - How to perform data processing functions and apply conditional formatting in spreadsheets to extract business value from your data using statistical calculations and best practices for visualizing and interpreting data. - How to use LLMs for stakeholder analysis, data exploration, and data visualization. - Best practices for using LLMs for as a thought partner to data analysis work By the end of this professional certificate program, you will have learned core statistical concepts, analysis techniques, and visualization methodologies that will serve as the foundation for working as a data analyst. The world needs more data analysts, especially ones who know how to use modern generative AI. With data science roles projected to grow 36% by 2033, the skills taught in this program create new professional opportunities in data. Sign up here!

Major program launch: Data Analytics Professional Certificate! This large, five-course sequence takes you all the way to being job-ready as a data analyst, and shows how to use Generative AI as a thought partner to enhance your work in this role. Offered by on Coursera, this is taught by Sean Barnes, Ph.D., a Data Science & Engineering Leader at Netflix. Analyzing data remains one of the most important skills in where the world is going with AI. This comprehensive certificate takes you all the way to being job-ready. Each course comes with practical projects demonstrated in real-world contexts, such as analyzing sales data for a Korean bakery, video game sales trends across different regions, or identifying factors impacting customer retention for a communications company. You'll also work on estimating fire distribution for forest fire prevention, analyzing how a diamond's properties affect its market value, and developing predictive models for retail sales analysis, carbon emissions, and coral reef conservation. Here's some of what you'll learn: - How to define data and categorize it into its many types such as discrete & continuous numerical, structured & unstructured, time series, categorical, and know what insights can be derived from the different types of data categories. - How to differentiate between data-related job roles and their responsibilities, and how data flows through an organization from the moment of capture to decision-making. - How to perform data processing functions and apply conditional formatting in spreadsheets to extract business value from your data using statistical calculations and best practices for visualizing and interpreting data. - How to use LLMs for stakeholder analysis, data exploration, and data visualization. - Best practices for using LLMs for as a thought partner to data analysis work By the end of this professional certificate program, you will have learned core statistical concepts, analysis techniques, and visualization methodologies that will serve as the foundation for working as a data analyst. The world needs more data analysts, especially ones who know how to use modern generative AI. With data science roles projected to grow 36% by 2033, the skills taught in this program create new professional opportunities in data. Sign up here!

Andrew Ng

85,182 Aufrufe • vor 1 Jahr