A real masterclass in journalistic lying. The quote from Trump is the suv HITS the officer, which it does. NYT shows it happen. Then they say that the video doesn’t show the man being RUN OVER. Which is true, but it’s not the claim.
It’s a clever way of making it seem like Trump and republicans are lying, without ever alleging a lie. Verbally sophisticated sleaze.
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It’s a clever way of making it seem like Trump and republicans are lying, without ever alleging a lie. Verbally sophisticated sleaze.
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DoomPosting
BREAKING: A Tehran doctor told TIME that at least 217 protesters have been recorded dead across six hospitals in the city, most killed by live ammunition, as Islamic security forces opened fire on anti-regime protesters. 🄳🄾🄾🄼🄿🤖🅂🅃🄸🄽🄶
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SUPPORT THE PEOPLE OF IRAN!!
iranprotests iran iranrevolution freeiran iranian iranregimechange humanrights freedom tehran
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iranprotests iran iranrevolution freeiran iranian iranregimechange humanrights freedom tehran
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The issue of if "insider trading" should be allowed in prediction markets is very interesting, because on the one hand it can mess up the integrity of the market as a finical instrument but as a "truth telling instrument" it is really good, and tbh I want the truth.
So say someone knows the date of something , then they use prediction markets to capitalize on that, they will probably be found out/ fired/ penalized/killed. (depending on the thing).
BUT what if instead of doing it that way, you did it by say buying an Ai-DAO-token, then used those votes to direct the Ai to buy the correct date on prediction markets, then once the Ai makes $$ you cash out your tokens via claims on the AUM or just sell the tokens on open market if/when they appreciate for way more......
Now you can benefit the entire group, make the truth more apparent via markets, and you make money.
This is the big brain " crime" ( its not crime but that's the lingo), reason why people will like Ai-lead-User-assisted-DAOs in my humble opinion.
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So say someone knows the date of something , then they use prediction markets to capitalize on that, they will probably be found out/ fired/ penalized/killed. (depending on the thing).
BUT what if instead of doing it that way, you did it by say buying an Ai-DAO-token, then used those votes to direct the Ai to buy the correct date on prediction markets, then once the Ai makes $$ you cash out your tokens via claims on the AUM or just sell the tokens on open market if/when they appreciate for way more......
Now you can benefit the entire group, make the truth more apparent via markets, and you make money.
This is the big brain " crime" ( its not crime but that's the lingo), reason why people will like Ai-lead-User-assisted-DAOs in my humble opinion.
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Media is too big
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BREAKING - Leftists are now outraged that people are using “Say her name” for Renee Good, claiming that phrase is “only for Black people.”
Amazing.
You can literally give your own blood to the cause, and it’s still not enough, because in the end, you’re still White.
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Amazing.
You can literally give your own blood to the cause, and it’s still not enough, because in the end, you’re still White.
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BREAKING: Trump calls for a 10% cap on credit card interest rates for one year, effective January 20th
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US layoffs have rarely been this high:
US job cut announcements surged +58% YoY in 2025, to 1,206,374, the highest total since 2020.
This marks the 2nd-highest annual reading since 2009 and the 7th-highest since Challenger, Gray & Christmas began tracking data in 1989.
This also means average monthly job cuts exceeded 100,000 for the first time in 5 years.
The government sector led all industries with 308,167 job cuts.
Technology and warehousing followed with 154,445 and 95,317 announcements, respectively.
DOGE was the most prominent driver of layoffs, followed by adverse market and economic conditions.
The US job market had a rough year.
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US job cut announcements surged +58% YoY in 2025, to 1,206,374, the highest total since 2020.
This marks the 2nd-highest annual reading since 2009 and the 7th-highest since Challenger, Gray & Christmas began tracking data in 1989.
This also means average monthly job cuts exceeded 100,000 for the first time in 5 years.
The government sector led all industries with 308,167 job cuts.
Technology and warehousing followed with 154,445 and 95,317 announcements, respectively.
DOGE was the most prominent driver of layoffs, followed by adverse market and economic conditions.
The US job market had a rough year.
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