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Code: SONE-672 Title: Every morning at the garbage dump, the bsty J-cup girl shows off her overflowing brasts without any hesitation Actress: Gojo Ren

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🚨 GIRL FILMS HER 6:30 AM “MORNING ROUTINE” — EMBALMING THREE BODIES WITH HER DAD BEFORE MOST PEOPLE WAKE UP A funeral home worker posted what she calls a normal morning. 6:30 AM. Three bodies waiting. Working side-by-side with her father at the funeral home. She shows the entire process: locating arteries, pumping embalming fluid, and moving bodies out of the cooler one by one. The first embalming took 45 minutes. The second took 44 minutes. By 9:30 AM, all three were finished. People watching say the video is strangely fascinating… but also unsettling to realize this is happening in funeral homes every single morning. Does this make you respect funeral home workers more… or does it make you realize you could never do this job?

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An 18 year old girl went to her 330 driving class appointment in Rochester, NY. She got there a bit early, taking the bus. As she was waiting for it to open, a 58 year old man, who is a Crossing Guard for the city, pulled up claiming to be the instructor. Without hesitation, she got into the car to begin her lessons. After doing some driving through the city, they ended up at his apartment, where he SA'd her. (Particulars on how this happened has yet to be released) She was able to get a text out to family after the assault, and they were able to get police to the location to apprehend the POS, and get her out safely. DO NOT TRUST ANYONE! Every kid these days need to be far more suspicious. So many predators, everywhere.

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Funke okindele live IG Nollywood actress Funke Akindele br@ke down in t£ars after a Nollywood producer was inv@lved in a f!ght with actress Pamela Okoye on set. Following her visit to Pamela in the h0spital, she addressed the public regarding the actress’ c@nditi@n. This was what she said: Pamela is not doing w£ll. Her c@nditi0n is very cr!tic@l at this m@ment. She is currently in a c@ma. The video that surfaced online shows only a small part of the inc!d£nt. She was b£at£n s£ver£ly. The producer has been arrested and his currently under inv£stigation. This is truly h£artbr£aking because Pamela Okoye is like a sister to me. I can't sit by and watch her go thr@ugh this.Her? situ@t!on in the hospital continues to d!sturb me. We are in the process of ref£rring her to another hospital because her c@ndition is d£terior@ting. When I saw her yesterday, she showed slight impr@v£ment and we were able to speak. Right now, however, she can't speak to me and she can't even rec@gnize the people around her. The producer resp@nsibl£ must not go fr£e. If anything h@pp£ns to Pamela — Zubby Michael, Mercy Johnson, Yul Edochie — this is not the Nollywood we used to kn0w. I am calling on everyone to speak up.

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🚨#BREAKING: City garbage truck workers will NOT face any criminal charges after they used the truck's hydraulic claw to pick up a homeless woman sleeping in a pile of trash... and crushed her. After they realized what they had done, they never called 911. The police report says they, "didn't think she was really hurt" and began laughing when they realized they had picked up the woman with the claw. Her name was Tyrah Adams, she was 35 years old. On February 12th, Louisville Metro Public Works crews were doing a routine cleanup of an alley where Tyrah was sleeping among some debris, off 26th and Cedar. Surveillance video shows the truck's claw grab a large pile, with Tyrah inside it, lift it, and drop it back down. The coroner ruled it a "delayed fat*lity." Tyrah was still alive and limped herself to a store where the workers in there eventually called 911 while the garbage men watched from the truck. In fact, the police report says the garbage men "didn't think she was really hurt" and the workers were seen laughing afterward. Tyrah passed away later at a hospital. And this week, the county attorney announced: no charges. One worker is no longer with the city. Two are on unpaid leave.

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When “duty calls” 😁 a young mother was in the drive-thru line at Starbucks for her anxiously awaited morning coffee when her toddler-in-training signaled he had to do a number 2, without hesitation she pulled her black Tesla SUV out of line next to the dumpster, never skipping a beat she opened the rear door and removed the little man from his car seat, walked him to the rear of the hatchback and placed him on his potty chair. This caught the attention of the mostly female patrons still in the line she wants occupied, there were no self-important professionals honking their horns, hurling expletives or nasty gestures, just a sense of camaraderie that set off a chain of events of one woman paying for the next person’s order. SHOUT OUT to mothers everywhere, who effortlessly do one of the hardest jobs on the face of the planet and seldom get acknowledged for it. #momsrock

When “duty calls” 😁 a young mother was in the drive-thru line at Starbucks for her anxiously awaited morning coffee when her toddler-in-training signaled he had to do a number 2, without hesitation she pulled her black Tesla SUV out of line next to the dumpster, never skipping a beat she opened the rear door and removed the little man from his car seat, walked him to the rear of the hatchback and placed him on his potty chair. This caught the attention of the mostly female patrons still in the line she wants occupied, there were no self-important professionals honking their horns, hurling expletives or nasty gestures, just a sense of camaraderie that set off a chain of events of one woman paying for the next person’s order. SHOUT OUT to mothers everywhere, who effortlessly do one of the hardest jobs on the face of the planet and seldom get acknowledged for it. #momsrock

ℳ𝒜𝒢𝒜_𝒳_𝒯𝒾𝓂𝑒𝓈 𝒟𝒶𝒾𝓁𝓎 𝒩𝑒𝓌𝓈🇺🇸

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Today, we remember Richard Bresler, a jiu-jitsu pioneer and our father's first student in California. His legacy extends far beyond his achievements in the art. During one of our hospital visits, Richard shared this story of a chance encounter at Whole Foods with our mother. He explained that after commenting on the Gracie hoodie she was wearing, our mom took the hoodie off and gave it to him without hesitation, a gesture that resonated deeply with him. This heartfelt moment reflected her eternal gratitude for his tireless support of our family. In this spirit, Richard was allowed any merch from GU, any time, at no cost, and we never knew how much that meant to him until this day. We love you Richard. Your sacrifice and support will be cherished and remembered forever.

Today, we remember Richard Bresler, a jiu-jitsu pioneer and our father's first student in California. His legacy extends far beyond his achievements in the art. During one of our hospital visits, Richard shared this story of a chance encounter at Whole Foods with our mother. He explained that after commenting on the Gracie hoodie she was wearing, our mom took the hoodie off and gave it to him without hesitation, a gesture that resonated deeply with him. This heartfelt moment reflected her eternal gratitude for his tireless support of our family. In this spirit, Richard was allowed any merch from GU, any time, at no cost, and we never knew how much that meant to him until this day. We love you Richard. Your sacrifice and support will be cherished and remembered forever.

Rener Gracie

26,005 Aufrufe • vor 1 Jahr

BREAKING: Judge Arthur Engoron Tells James O’Keefe on hidden camera inside his Gym he gets “lots of hate mail” but he’s “strong”. An insider where the Judge works out at Equinox in Great Neck, NY, also recorded Judge Engoron “creeping girls out.” Sources say Engoron does this “every visit” each morning. The video shows a woman using a machine clearly annoyed and gesturing with her hands for him to ‘back off.’ A gym member and supporter of OMG responded to O’Keefe’s question inside the gum, “What time does the Judge get here?” Answering “5:30 AM.”

BREAKING: Judge Arthur Engoron Tells James O’Keefe on hidden camera inside his Gym he gets “lots of hate mail” but he’s “strong”. An insider where the Judge works out at Equinox in Great Neck, NY, also recorded Judge Engoron “creeping girls out.” Sources say Engoron does this “every visit” each morning. The video shows a woman using a machine clearly annoyed and gesturing with her hands for him to ‘back off.’ A gym member and supporter of OMG responded to O’Keefe’s question inside the gum, “What time does the Judge get here?” Answering “5:30 AM.”

James O'Keefe

4,855,083 Aufrufe • vor 2 Jahren

A US soldier shared a testimony from her time overseas. She said her team used to laugh at her and call her "church girl" because she prayed before every mission. Some told her they did not want to hear her prayers. She prayed anyway. Later, she was pulled off the road as punishment. She said her team started getting hit by bombs every time she was not with them. Then her team leader came to her and asked her to come back. He told her, "We keep getting hit and we need your protection. Whatever you're praying, it's working." She said she went back out, and they were never hit again. Maya Johnson brought home 300 people, and nobody from her group died. This is a powerful reminder that prayer is not weak. This testimony shows that the one true God hears, protects, and still answers prayer.

A US soldier shared a testimony from her time overseas. She said her team used to laugh at her and call her "church girl" because she prayed before every mission. Some told her they did not want to hear her prayers. She prayed anyway. Later, she was pulled off the road as punishment. She said her team started getting hit by bombs every time she was not with them. Then her team leader came to her and asked her to come back. He told her, "We keep getting hit and we need your protection. Whatever you're praying, it's working." She said she went back out, and they were never hit again. Maya Johnson brought home 300 people, and nobody from her group died. This is a powerful reminder that prayer is not weak. This testimony shows that the one true God hears, protects, and still answers prayer.

OjiUgo™️🍫👁️‍🗨️

461,533 Aufrufe • vor 3 Monaten

🚨 I’ve been warning about this “professor” for years. If you think Abdul El-Sayed isn’t in agreement with his terror-supporting sister, you’re blind. Radicalism runs in the family. Professor Eman Abdelhadi teaches at the University of Chicago. On the morning of the October 7 attacks, she celebrated online by tweeting, “Good morning, freedom.” After the massacres, she called for violent student uprisings on the streets of America. “Let Palestine break this country wide open. Long live the student intifada.” In October of 2025, she attended a protest at the Broadview ICE Detention Center outside of Chicago. She was arrested for violence and spit on a police officer. She’s currently charged with two counts of aggravated battery, along with two misdemeanor counts of resisting arrest. Her social media is flooded with antisemitic garbage and anti-American propaganda. She’s still employed. Our Dept of Education is about to shove over half a billion into the hands of her university. It goes without saying: this should be all hands on deck from the White House and our intelligence community. President Donald J. Trump FBI Rapid Response Sebastian Gorka DrG

🚨 I’ve been warning about this “professor” for years. If you think Abdul El-Sayed isn’t in agreement with his terror-supporting sister, you’re blind. Radicalism runs in the family. Professor Eman Abdelhadi teaches at the University of Chicago. On the morning of the October 7 attacks, she celebrated online by tweeting, “Good morning, freedom.” After the massacres, she called for violent student uprisings on the streets of America. “Let Palestine break this country wide open. Long live the student intifada.” In October of 2025, she attended a protest at the Broadview ICE Detention Center outside of Chicago. She was arrested for violence and spit on a police officer. She’s currently charged with two counts of aggravated battery, along with two misdemeanor counts of resisting arrest. Her social media is flooded with antisemitic garbage and anti-American propaganda. She’s still employed. Our Dept of Education is about to shove over half a billion into the hands of her university. It goes without saying: this should be all hands on deck from the White House and our intelligence community. President Donald J. Trump FBI Rapid Response Sebastian Gorka DrG

NizNellie3

482,389 Aufrufe • vor 26 Tagen

THIS WALLET STACKED $230K ON BTC UP/DOWN BETS. THE BLUEPRINT TO AUTOMATE THE SAME EDGE WITH CLAUDE The wallet is $230K all-time, every position a Bitcoin or Ethereum Up or Down market It never guesses direction. It enters only when the math and the market disagree THE STRATEGY: BTC moves are not fully random. When the market enters a committed directional state, continuation is measurable. That is Markov persistence Entry signal: > Δ = p̂ − q ≥ ε Model probability minus market price. Enter only on a 5% gap or more Persistence filter: > p(j*,j*) ≥ 0.87 Only trade states with 0.87 persistence or higher. Below that, skip. This is what holds the win rate above 65% with zero directional guessing Payout: > r = (1 − q) / q At q = 0.647 that is +54.5% a win. At q = 0.441, +126.7%. Lower entry price, bigger asymmetry Sizing: > f* = p − (1−p)/b Kelly. At p = 0.87, b = 0.647, f* ≈ 0.71. Size to the edge, never to gut HOW TO BUILD IT WITH CLAUDE: What separates this from a static bot: Claude reads its own trade journal every night and rewrites its own thresholds 1. Take an open-source Polymarket bot repo as your base logic. Feed it to Claude and have it migrate to CLOB v2: py_clob_client_v2, Safe wallet support, fee-aware evaluation 2. Hard-code the filters. Enter only when Δ ≥ 0.05 and p(j*,j*) ≥ 0.87. Apply Kelly on every fill. 3. Run DRY_RUN first. Log every signal, entry price, Markov state, and simulated P/L. No real money until the numbers hold for days 4. The nightly loop. Claude reads the journal, finds which persistence states actually won, adjusts MIN_PROB and MIN_EDGE, ships tomorrow's rules. The agent is sharper after 50 to 100 trades THE SETUP: Claude Opus as the brain. An open-source repo as the starting logic. A Polygon wallet with $50 to $100. Telegram for the morning report Start at $1 to $2 per trade while it learns. Scale only when the dry runs and the live fills line up 17,000 trades compound a thin edge into six figures. The model finds the edge. The nightly loop keeps it sharp Bookmark before you point a bot at your first window

THIS WALLET STACKED $230K ON BTC UP/DOWN BETS. THE BLUEPRINT TO AUTOMATE THE SAME EDGE WITH CLAUDE The wallet is $230K all-time, every position a Bitcoin or Ethereum Up or Down market It never guesses direction. It enters only when the math and the market disagree THE STRATEGY: BTC moves are not fully random. When the market enters a committed directional state, continuation is measurable. That is Markov persistence Entry signal: > Δ = p̂ − q ≥ ε Model probability minus market price. Enter only on a 5% gap or more Persistence filter: > p(j,j) ≥ 0.87 Only trade states with 0.87 persistence or higher. Below that, skip. This is what holds the win rate above 65% with zero directional guessing Payout: > r = (1 − q) / q At q = 0.647 that is +54.5% a win. At q = 0.441, +126.7%. Lower entry price, bigger asymmetry Sizing: > f* = p − (1−p)/b Kelly. At p = 0.87, b = 0.647, f* ≈ 0.71. Size to the edge, never to gut HOW TO BUILD IT WITH CLAUDE: What separates this from a static bot: Claude reads its own trade journal every night and rewrites its own thresholds 1. Take an open-source Polymarket bot repo as your base logic. Feed it to Claude and have it migrate to CLOB v2: py_clob_client_v2, Safe wallet support, fee-aware evaluation 2. Hard-code the filters. Enter only when Δ ≥ 0.05 and p(j,j) ≥ 0.87. Apply Kelly on every fill. 3. Run DRY_RUN first. Log every signal, entry price, Markov state, and simulated P/L. No real money until the numbers hold for days 4. The nightly loop. Claude reads the journal, finds which persistence states actually won, adjusts MIN_PROB and MIN_EDGE, ships tomorrow's rules. The agent is sharper after 50 to 100 trades THE SETUP: Claude Opus as the brain. An open-source repo as the starting logic. A Polygon wallet with $50 to $100. Telegram for the morning report Start at $1 to $2 per trade while it learns. Scale only when the dry runs and the live fills line up 17,000 trades compound a thin edge into six figures. The model finds the edge. The nightly loop keeps it sharp Bookmark before you point a bot at your first window

Yarchi

22,966 Aufrufe • vor 3 Monaten

Yesterday I was at dinner with my girlfriend and she asked what I do for money. I told her I bet $15 on the temperature in Dallas and collect $80. Every day. She laughed. Then I showed her my balance. $1,400 in one month. She stopped laughing and started asking questions. She laughed because it sounds insane. Betting on temperature is something a crazy person says at a party. But I opened Polymarket on my phone and scrolled through the history. Everything green. Every line a win. Dallas above 72°F, won, +$63. Rain in Buenos Aires before Thursday, won, +$41. She put her fork down. Wait. For weather? Every day. Is this even legal? I told her it is easier to show than explain. After dinner we went to my place. I opened the laptop. The terminal loaded. The globe started spinning, green dots where weather stations are, numbers updating in real time. She leaned in and did not get up for 40 minutes. What am I looking at? 12 weather stations. Temperature to the tenth of a degree. Pressure. Cloud cover. Updated every one to three hours. Before any weather app. Before any forecast. She asked how it works. Weather apps use forecast models that update slowly. The stations give raw readings right now. Sometimes the app says 72. The station already shows 68. That gap is money. I showed her yesterday's trade. iPhone said 72°F in Dallas. Station said 68. I bet $15 that the app was wrong. Morning came. Dallas: 67. Payout: $80. She was quiet for a moment. Then she asked if she could try. I opened a market for London temperature tomorrow. She looked at the station data, looked at the market price, and put $5 on under. Now what? Now we sleep. Tomorrow morning you check. She texted me at 7 AM. I made $22. What else can I bet on? → The wallet behind the terminal: Next morning she deleted her weather app. I asked why. Why would I need a free app when I can use a paid one.

Yesterday I was at dinner with my girlfriend and she asked what I do for money. I told her I bet $15 on the temperature in Dallas and collect $80. Every day. She laughed. Then I showed her my balance. $1,400 in one month. She stopped laughing and started asking questions. She laughed because it sounds insane. Betting on temperature is something a crazy person says at a party. But I opened Polymarket on my phone and scrolled through the history. Everything green. Every line a win. Dallas above 72°F, won, +$63. Rain in Buenos Aires before Thursday, won, +$41. She put her fork down. Wait. For weather? Every day. Is this even legal? I told her it is easier to show than explain. After dinner we went to my place. I opened the laptop. The terminal loaded. The globe started spinning, green dots where weather stations are, numbers updating in real time. She leaned in and did not get up for 40 minutes. What am I looking at? 12 weather stations. Temperature to the tenth of a degree. Pressure. Cloud cover. Updated every one to three hours. Before any weather app. Before any forecast. She asked how it works. Weather apps use forecast models that update slowly. The stations give raw readings right now. Sometimes the app says 72. The station already shows 68. That gap is money. I showed her yesterday's trade. iPhone said 72°F in Dallas. Station said 68. I bet $15 that the app was wrong. Morning came. Dallas: 67. Payout: $80. She was quiet for a moment. Then she asked if she could try. I opened a market for London temperature tomorrow. She looked at the station data, looked at the market price, and put $5 on under. Now what? Now we sleep. Tomorrow morning you check. She texted me at 7 AM. I made $22. What else can I bet on? → The wallet behind the terminal: Next morning she deleted her weather app. I asked why. Why would I need a free app when I can use a paid one.

Blaze

97,070 Aufrufe • vor 7 Monaten