A Michigan Dem Just Dropped an AI Plan Even Tougher Than Bernie’s 68%

By Emma Janssen0%

6/29/2026, 11:59:35 AM

BS Summary: This article contains 27 faulty reasoning types, including Framing Effect, Appeal to Authority, and Availability Heuristic, with Biased Writer Voice as the most egregious example at 16.2% saturation with 120 hits. Analysis detected 1,087 faulty-reasoning hits from 743 analyzed words, generating a BS Score of 61.2% and a BS Rank of 68% (7,122 of 21,887 articles). This article is worse (more manipulative) than 67.50% of the article peer group.

Abdul El-Sayed, a primary candidate for U.S. 
Senate in Michigan, released an ambitious AI policy platform Monday, joining other progressives like Senator Bernie Sanders in a push for regulation and public ownership. 
But El-Sayed’s proposal also goes a step further: not just public ownership, but also public governance. 
Earlier this month, an AI super PAC spent millions to ensure that Alex Bores, the author of a comparatively weak New York state AI accountability law, wouldn’t make it to Congress. 
El-Sayed’s proposed changes to the AI industry go far further than Bores’s legislation. 
When asked whether he was worried about industry political action committees targeting his campaign over his new proposals, El-Sayed shrugged it off. 
“I’m just not afraid of them or AIPAC or any of the others. 
What’s another hundred-million-dollar super PAC, I guess?” 
El-Sayed’s policy proposal, which he shared exclusively with The New Republic ahead of its release, has three key components: democratic governance of AI, public ownership of AI companies, and safety requirements. 
His proposal takes inspiration from Sanders’s American AI Sovereign Wealth Fund bill, proposed earlier this month—and like Sanders’s bill, calls for the creation of a sovereign wealth fund to distribute AI companies’ cash into Americans’ pockets. 
Sanders envisions establishing that via a one-time 50 percent tax on the country’s biggest AI companies, generating an estimated $7 trillion for social safety net programs, plus a yearly dividend for Americans. 
El-Sayed proposes using that money to fund education and job training, increase unemployment benefits, and boost small business loans. 
“I love the senator’s point that we need to own the outcomes of this, in part because it is our data and our knowledge that went into creating it,” El-Sayed said about Bernie’s proposal. 
They both reason that, since AI has been trained on human writing, research, and collective knowledge, it is a good that belongs to all Americans. 
“But I think the ownership part needs to go a step further, because we also need some control,” El-Sayed added. 
To get that control, he proposes democratic governance of AI companies. 
He proposes that frontier AI labs be chartered as public benefit corporations, legally mandating them to balance public interest with profit margins. 
Additionally, he suggests that a majority of board seats at these companies should be democratically elected or publicly appointed, rather than selected by shareholders. 
And, importantly, he calls for major tech companies like Amazon, Microsoft, Google, and Meta to divest from frontier AI companies. 
El-Sayed also recommends the establishment of a Food and Drug Administration–style agency to evaluate models before they’re deployed, a ban on AI-generated political media, and requiring companies to work with the Centers for Disease Control and Prevention, National Institutes of Health, and Federal Emergency Management Agency to protect against biosecurity breaches. 
El-Sayed’s breezy response to TNR’s question about possible industry retaliation—“What’s another hundred-million-dollar super PAC, I guess?”—references the unrelated money that the American Israel Public Affairs Committee, or AIPAC, has already spent on the race. 
Through United Democracy Project PAC, AIPAC has spent over $2 million to support one of El-Sayed’s opponents, Representative Haley Stevens, who is the Democratic establishment’s favored candidate. 
El-Sayed has repeatedly criticized both the Israeli government and AIPAC’s influence in politics. 
El-Sayed is also facing State Senator Mallory McMorrow, though polls suggest the race is largely between El-Sayed and Stevens. 
McMorrow released an AI policy proposal last month that focuses on creating a professional apprenticeship program funded by a token tax, which would charge by the number of tokens used (tokens are the basic units of data that AI models use). 
Stevens has not released an AI policy plan. 
Despite a broad consensus among voters that politicians should regulate the AI industry, few bills have actually been passed. 
Following AI industry super PACs’ massive spending to defeat Alex Bores in retaliation for the RAISE Act, some feared politicians might become even more reluctant to try. 
El-Sayed is hopeful that American voters are ready to push back against money in politics. 
“We live in an era right now where people are really smart to the old system of money coming in to buy elections. 
They see the wool being pulled over their eyes and they don’t like it,” he said. 
He also doesn’t think politicians have the luxury of time when it comes to regulating AI. 
“We need to act yesterday,” he said, “and at best, we can act tomorrow.” 
Article reasoning-pattern comparisonThis article: 3.6%Emma Janssen: 1.4%newrepublic.com: 6.1%Confirmation Bias3.6%This article: 1.7%Emma Janssen: 0.6%newrepublic.com: 0.5%Anchoring Bias1.7%This article: 11.4%Emma Janssen: 1.8%newrepublic.com: 3.3%Availability Heuristic11.4%This article: 3.4%Emma Janssen: 1.1%newrepublic.com: 1.0%Representativeness Heuristic3.4%This article: 0.0%Emma Janssen: 0.0%newrepublic.com: 0.8%Hindsight Bias0.0%This article: 4.6%Emma Janssen: 1.8%newrepublic.com: 2.0%Overconfidence Bias4.6%This article: 13.5%Emma Janssen: 6.9%newrepublic.com: 8.0%Framing Effect13.5%This article: 0.0%Emma Janssen: 0.0%newrepublic.com: 0.4%Loss Aversion0.0%This article: 3.2%Emma Janssen: 0.3%newrepublic.com: 0.3%Status Quo Bias3.2%This article: 0.0%Emma Janssen: 0.0%newrepublic.com: 0.1%Sunk Cost Effect0.0%This article: 3.0%Emma Janssen: 0.8%newrepublic.com: 1.0%Optimism Bias3.0%This article: 2.2%Emma Janssen: 0.4%newrepublic.com: 2.5%Pessimism Bias2.2%This article: 11.0%Emma Janssen: 8.2%newrepublic.com: 13.3%Negativity Bias11.0%This article: 4.6%Emma Janssen: 1.8%newrepublic.com: 0.9%Self-Serving Bias4.6%This article: 3.0%Emma Janssen: 0.6%newrepublic.com: 2.0%Fundamental Attribution Error3.0%This article: 0.0%Emma Janssen: 0.0%newrepublic.com: 0.2%Actor-Observer Bias0.0%This article: 0.0%Emma Janssen: 4.2%newrepublic.com: 1.7%In-Group Bias0.0%This article: 0.0%Emma Janssen: 0.0%newrepublic.com: 1.0%Out-Group Homogeneity Bias0.0%This article: 0.0%Emma Janssen: 2.3%newrepublic.com: 1.2%Halo Effect0.0%This article: 0.0%Emma Janssen: 0.0%newrepublic.com: 0.6%Horn Effect0.0%This article: 0.0%Emma Janssen: 0.0%newrepublic.com: 0.0%Dunning-Kruger Effect0.0%This article: 4.4%Emma Janssen: 2.6%newrepublic.com: 1.4%Recency Bias4.4%This article: 0.0%Emma Janssen: 0.2%newrepublic.com: 0.5%Primacy Effect0.0%This article: 0.0%Emma Janssen: 0.2%newrepublic.com: 0.1%Blind-Spot Bias0.0%This article: 0.0%Emma Janssen: 1.5%newrepublic.com: 3.8%Ad Hominem0.0%This article: 0.0%Emma Janssen: 0.0%newrepublic.com: 1.1%Straw Man0.0%This article: 11.7%Emma Janssen: 3.3%newrepublic.com: 3.4%Appeal to Authority11.7%This article: 6.7%Emma Janssen: 1.1%newrepublic.com: 1.9%False Dilemma6.7%This article: 0.0%Emma Janssen: 0.0%newrepublic.com: 2.0%Slippery Slope0.0%This article: 3.0%Emma Janssen: 0.3%newrepublic.com: 0.3%Circular Reasoning3.0%This article: 5.7%Emma Janssen: 3.3%newrepublic.com: 8.0%Hasty Generalization5.7%This article: 4.6%Emma Janssen: 0.4%newrepublic.com: 0.3%Red Herring4.6%This article: 0.0%Emma Janssen: 1.5%newrepublic.com: 0.6%Bandwagon0.0%This article: 5.8%Emma Janssen: 3.5%newrepublic.com: 6.3%Appeal to Emotion5.8%This article: 3.4%Emma Janssen: 1.0%newrepublic.com: 1.8%Begging the Question3.4%This article: 3.6%Emma Janssen: 2.6%newrepublic.com: 3.2%Post Hoc (False Cause)3.6%This article: 0.0%Emma Janssen: 0.0%newrepublic.com: 0.3%Tu Quoque0.0%This article: 0.0%Emma Janssen: 0.0%newrepublic.com: 0.8%Burden of Proof0.0%This article: 0.0%Emma Janssen: 0.0%newrepublic.com: 0.1%Appeal to Nature0.0%This article: 0.0%Emma Janssen: 0.3%newrepublic.com: 0.3%Composition/Division0.0%This article: 0.0%Emma Janssen: 0.4%newrepublic.com: 2.0%Anecdotal0.0%This article: 0.0%Emma Janssen: 0.0%newrepublic.com: 0.2%No True Scotsman0.0%This article: 0.0%Emma Janssen: 1.1%newrepublic.com: 1.8%Ambiguity (Equivocation)0.0%This article: 0.0%Emma Janssen: 0.0%newrepublic.com: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Emma Janssen: 0.0%newrepublic.com: 0.1%Middle Ground0.0%This article: 0.0%Emma Janssen: 0.5%newrepublic.com: 0.3%Personal Incredulity0.0%This article: 0.0%Emma Janssen: 0.3%newrepublic.com: 0.2%Special Pleading0.0%This article: 0.0%Emma Janssen: 0.0%newrepublic.com: 0.3%Genetic Fallacy0.0%This article: 1.7%Emma Janssen: 1.4%newrepublic.com: 2.3%Unattributed Quote1.7%This article: 4.6%Emma Janssen: 2.4%newrepublic.com: 1.6%Quote-first Misdirection4.6%This article: 16.2%Emma Janssen: 5.0%newrepublic.com: 15.5%Biased Writer Voice16.2%This article: 2.0%Emma Janssen: 1.4%newrepublic.com: 2.4%Indoctrination2.0%This article: 3.6%Emma Janssen: 6.2%newrepublic.com: 7.2%Politically Left Leaning Bias3.6%This article: 0.0%Emma Janssen: 0.0%newrepublic.com: 0.6%Politically Right Leaning Bias0.0%This article: 4.2%Emma Janssen: 0.4%newrepublic.com: 0.3%Attempt to Sell a Product or S…4.2%

743 words analyzed.

Speakers

1speaker17%attributed speech616writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 12 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverageWriter's voice • 25 words • 100.0% coverageWriter's voice • 16 words • 100.0% coverageWriter's voice • 31 words • 100.0% coverageWriter's voice • 13 words • 100.0% coverageWriter's voice • 22 words • 100.0% coverageAbdul El-Sayed • 13 words • 100.0% coverageAbdul El-Sayed • 7 words • 0.0% coverageWriter's voice • 31 words • 100.0% coverageWriter's voice • 36 words • 0.0% coverageWriter's voice • 32 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverageAbdul El-Sayed • 34 words • 0.0% coverageWriter's voice • 25 words • 0.0% coverageAbdul El-Sayed • 20 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverageWriter's voice • 20 words • 0.0% coverageWriter's voice • 51 words • 0.0% coverageWriter's voice • 34 words • 100.0% coverageWriter's voice • 27 words • 100.0% coverageWriter's voice • 13 words • 100.0% coverageWriter's voice • 19 words • 0.0% coverageWriter's voice • 41 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverageWriter's voice • 27 words • 0.0% coverageWriter's voice • 15 words • 100.0% coverageAbdul El-Sayed • 23 words • 0.0% coverageAbdul El-Sayed • 16 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageAbdul El-Sayed • 14 words • 0.0% coverage
Selected voice

Abdul El-Sayed

100%flagged-word coverage
127 attributed words100% of attributed speech90% writer coverage
0%10.0%20.0%Biased Writer Voice-19.5 ptsWriter: 19.5%Abdul El-Sayed: 0.0%0.0%Unattributed Quote+10.2 ptsWriter: 0.0%Abdul El-Sayed: 10.2%10.2%Quote-first Misdirection-5.5 ptsWriter: 5.5%Abdul El-Sayed: 0.0%0.0%Attempt to Sell a Product -5.0 ptsWriter: 5.0%Abdul El-Sayed: 0.0%0.0%Politically Left Leaning B-4.4 ptsWriter: 4.4%Abdul El-Sayed: 0.0%0.0%Indoctrination-2.4 ptsWriter: 2.4%Abdul El-Sayed: 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.