George Santos settles federal probe over State of the Union bets on Kalshi 29%

By Philip Marcelo46%

7/31/2026, 5:42:26 PM

BS Summary: This article contains 17 faulty reasoning types, including Quote-first Misdirection, Biased Writer Voice, and Negativity Bias, with Self-Serving Bias as the most egregious example at 24.8% saturation with 114 hits. Analysis detected 682 faulty-reasoning hits from 459 analyzed words, generating a BS Score of 33.3% and a BS Rank of 29% (20,059 of 28,115 articles). This article is better (less manipulative) than 71.30% of the article peer group.

Disgraced former Congressman George Santos has agreed to a $35,000 settlement with federal investigators, resolving an inquiry into suspicious trades he made on the prediction marketplace Kalshi. 
The agreement addresses bets Santos placed against his own plans to attend President Donald Trump’s State of the Union address. 
His lawyer, Joseph Murray, echoed this sentiment in a statement shared by Santos on X, asserting: "He chose a prompt, practical resolution, rather than protracted, costly litigation, and that choice should not be mistaken for admission of any wrongdoing, because it is not one." 
The commission confirmed Friday that the settlement requires Santos to forfeit the more than $17,000 he allegedly earned through the unlawful trading, pay a $17,500 fine, and serve a three-year trading ban. 
Kalshi, which had reported Santos to regulators, said it will also pursue its own enforcement action and work to reimburse traders if monetary penalties are recovered. 
Leading up to Trump's February speech, Santos had talked frequently about his plans to be in the crowd. 
But minutes into the speech, he posted on X to say that he had been waylaid at the airport and couldn’t make it to Capitol Hill. 
Social media users called him out, noting that Kalshi had put the odds of Santos attending the address at close to 75%. 
Santos shrugged off the complaints at the time. 
“I guess people lost money,” he said on his podcast in March. 
“Some people made unexpected money. 
That’s to show you how fragile these markets are.” 
But the federal probe into the Kalshi trading prompted rival online prediction platform Polymarket to cut ties with Santos in June. 
Santos’ lawyer, in his statement Friday, said his client had a “genuine intention” to attend the State of the Union, even booking a hotel and plane ticket before a winter storm scuttled the plans. 
“Mr. 
Santos concealed neither his intention to attend, nor his change of plans to not attend the SOTU, from anyone," Murray said. 
“There was absolutely no intent to deceive any person, nor intent to manipulate any market." 
Santos, who is set to appear on Fox’s reality contest “Special Forces: World’s Toughest Test” this fall, shot to political fame after winning a seat representing parts of the New York City borough of Queens and Long Island. 
But his bogus life story of being a wealthy Wall Street player with a college degree and other accomplishments quickly unraveled. 
Santos was eventually expelled from Congress and charged with federal wire fraud and identity theft charges as investigators probed how he funded his campaign. 
He pleaded guilty and served less than three months of a more than seven-year sentence before Trump granted him clemency last year. 
Article reasoning-pattern comparisonThis article: 0.0%Philip Marcelo: 1.5%The Independent: 2.8%Confirmation Bias0.0%This article: 0.0%Philip Marcelo: 0.3%The Independent: 0.7%Anchoring Bias0.0%This article: 4.8%Philip Marcelo: 3.1%The Independent: 3.1%Availability Heuristic4.8%This article: 0.0%Philip Marcelo: 0.6%The Independent: 0.9%Representativeness Heuristic0.0%This article: 4.8%Philip Marcelo: 0.2%The Independent: 0.5%Hindsight Bias4.8%This article: 0.0%Philip Marcelo: 1.0%The Independent: 2.2%Overconfidence Bias0.0%This article: 0.0%Philip Marcelo: 2.8%The Independent: 8.0%Framing Effect0.0%This article: 0.0%Philip Marcelo: 0.6%The Independent: 0.5%Loss Aversion0.0%This article: 0.0%Philip Marcelo: 0.5%The Independent: 0.6%Status Quo Bias0.0%This article: 0.0%Philip Marcelo: 0.1%The Independent: 0.2%Sunk Cost Effect0.0%This article: 7.4%Philip Marcelo: 2.9%The Independent: 2.3%Optimism Bias7.4%This article: 0.0%Philip Marcelo: 1.3%The Independent: 1.5%Pessimism Bias0.0%This article: 10.5%Philip Marcelo: 8.7%The Independent: 11.6%Negativity Bias10.5%This article: 24.8%Philip Marcelo: 4.2%The Independent: 2.4%Self-Serving Bias24.8%This article: 2.6%Philip Marcelo: 0.8%The Independent: 1.1%Fundamental Attribution Error2.6%This article: 0.0%Philip Marcelo: 0.2%The Independent: 0.2%Actor-Observer Bias0.0%This article: 0.0%Philip Marcelo: 1.2%The Independent: 1.5%In-Group Bias0.0%This article: 0.0%Philip Marcelo: 0.2%The Independent: 0.7%Out-Group Homogeneity Bias0.0%This article: 0.0%Philip Marcelo: 0.8%The Independent: 2.1%Halo Effect0.0%This article: 0.0%Philip Marcelo: 0.1%The Independent: 0.2%Horn Effect0.0%This article: 0.0%Philip Marcelo: 0.0%The Independent: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Philip Marcelo: 0.5%The Independent: 1.4%Recency Bias0.0%This article: 8.3%Philip Marcelo: 0.3%The Independent: 0.4%Primacy Effect8.3%This article: 0.0%Philip Marcelo: 0.0%The Independent: 0.0%Blind-Spot Bias0.0%This article: 0.0%Philip Marcelo: 0.5%The Independent: 2.0%Ad Hominem0.0%This article: 0.0%Philip Marcelo: 0.2%The Independent: 0.3%Straw Man0.0%This article: 0.0%Philip Marcelo: 2.1%The Independent: 3.7%Appeal to Authority0.0%This article: 0.0%Philip Marcelo: 0.8%The Independent: 1.4%False Dilemma0.0%This article: 0.0%Philip Marcelo: 0.2%The Independent: 0.7%Slippery Slope0.0%This article: 0.0%Philip Marcelo: 0.0%The Independent: 0.1%Circular Reasoning0.0%This article: 6.5%Philip Marcelo: 1.9%The Independent: 4.0%Hasty Generalization6.5%This article: 0.0%Philip Marcelo: 0.0%The Independent: 0.4%Red Herring0.0%This article: 4.8%Philip Marcelo: 0.2%The Independent: 0.6%Bandwagon4.8%This article: 2.6%Philip Marcelo: 4.0%The Independent: 6.2%Appeal to Emotion2.6%This article: 0.0%Philip Marcelo: 0.4%The Independent: 0.9%Begging the Question0.0%This article: 4.6%Philip Marcelo: 1.0%The Independent: 2.6%Post Hoc (False Cause)4.6%This article: 0.0%Philip Marcelo: 0.7%The Independent: 0.2%Tu Quoque0.0%This article: 7.4%Philip Marcelo: 0.3%The Independent: 0.7%Burden of Proof7.4%This article: 0.0%Philip Marcelo: 0.2%The Independent: 0.1%Appeal to Nature0.0%This article: 0.0%Philip Marcelo: 0.0%The Independent: 0.2%Composition/Division0.0%This article: 0.0%Philip Marcelo: 1.9%The Independent: 2.0%Anecdotal0.0%This article: 0.0%Philip Marcelo: 0.0%The Independent: 0.1%No True Scotsman0.0%This article: 7.8%Philip Marcelo: 0.9%The Independent: 1.7%Ambiguity (Equivocation)7.8%This article: 0.0%Philip Marcelo: 0.0%The Independent: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Philip Marcelo: 0.0%The Independent: 0.1%Middle Ground0.0%This article: 0.0%Philip Marcelo: 0.0%The Independent: 0.1%Personal Incredulity0.0%This article: 9.6%Philip Marcelo: 0.6%The Independent: 0.2%Special Pleading9.6%This article: 0.0%Philip Marcelo: 0.1%The Independent: 0.1%Genetic Fallacy0.0%This article: 9.8%Philip Marcelo: 0.9%The Independent: 2.5%Unattributed Quote9.8%This article: 17.0%Philip Marcelo: 1.9%The Independent: 1.9%Quote-first Misdirection17.0%This article: 15.3%Philip Marcelo: 1.8%The Independent: 7.4%Biased Writer Voice15.3%This article: 0.0%Philip Marcelo: 0.8%The Independent: 1.2%Indoctrination0.0%This article: 0.0%Philip Marcelo: 0.0%The Independent: 1.9%Politically Left Leaning Bias0.0%This article: 0.0%Philip Marcelo: 0.2%The Independent: 0.5%Politically Right Leaning Bias0.0%This article: 0.0%Philip Marcelo: 0.6%The Independent: 0.5%Attempt to Sell a Product or S…0.0%

459 words analyzed.

Speakers

2speakers31%attributed speech319writer words
Selected voice

Joseph Murray

100%flagged-word coverage
114 attributed words81% of attributed speech54% writer coverage
0%35.0%70.0%Quote-first Misdirection+68.4 ptsWriter: 0.0%Joseph Murray: 68.4%68.4%Unattributed Quote+38.3 ptsWriter: 0.3%Joseph Murray: 38.6%38.6%Biased Writer Voice-21.9 ptsWriter: 21.9%Joseph Murray: 0.0%0.0%

Attribution is sentence-level. Pattern percentages are calculated only from words assigned to that voice.

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Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.