STAT⁠42%

How the Trump administration derailed alcohol addiction research and prevention ⁠84%

By Isabella Cueto⁠0% Lev Facher⁠0%

6/30/2026, 8:30:00 AM

BS Summary: This article contains 22 faulty reasoning types, including Hasty Generalization, Biased Writer Voice, and Post Hoc (False Cause), with Negativity Bias as the most egregious example at 84.6% saturation with 264 hits. Analysis detected 1,344 faulty-reasoning hits from 312 analyzed words, generating a BS Score of 76% and a BS Rank of ⁠84% (3,338 of 20,518 articles). This article is worse (more manipulative) than 83.70% of the article peer group.

The Make America Healthy Again movement wants for no enemies. 
For the past two years, seed oils, sugary drinks, pesticides, pharmaceuticals, and childhood vaccines — and the industries behind them — have been subjected to unprecedented scrutiny. 
Yet MAHA’s quest to vanquish the root causes of chronic disease has omitted an obvious foe: alcohol. 
Though drinking causes more deaths in the U.S. each year than infectious diseases and opioids combined, the movement and its leader, Robert F. 
Kennedy Jr., have largely sidestepped alcohol. 
STAT’s investigation finds that the Trump administration has downplayed alcohol’s risks and actively derailed efforts to understand and prevent drinking-related harms, all while doing favors for the expansive alcohol industry. 
Even Kennedy, who has professed a deep interest in fixing the nation’s patchy addiction-treatment infrastructure, has offered no plan for dealing specifically with the country’s favorite drug. 
Most of his investments so far focus on opioids or specifically on homeless Americans, and pay little attention to excessive alcohol use in the broader population. 
To date, the administration’s most noteworthy actions on alcohol have consisted of burying a report that concluded light drinking poses risks; eliminating over half the staff at a federal agency focused on substance use; closing the alcohol program at the Centers for Disease Control and Prevention; and altering dietary guidelines to eliminate suggested drinking limits. 
That erasure is rippling through government: The National Institute on Alcohol Abuse and Alcoholism removed information about the health risks of moderate drinking from its website in January, according to archived versions of the page. 
“If you’re truly committed to improving all of these different ills in society, and you’re going to stay blind to alcohol, you’re not really that committed to it,” said Mike Marshall, CEO of the U.S. 
Alcohol Policy Alliance, a key nonpartisan nonprofit working on the issue. 
Article reasoning-pattern comparisonThis article: 25.3%Isabella Cueto: 19.1%STAT: 3.3%Confirmation Bias25.3%This article: 0.0%Isabella Cueto: 0.0%STAT: 1.3%Anchoring Bias0.0%This article: 16.0%Isabella Cueto: 6.2%STAT: 3.8%Availability Heuristic16.0%This article: 0.0%Isabella Cueto: 3.3%STAT: 1.0%Representativeness Heuristic0.0%This article: 0.0%Isabella Cueto: 2.2%STAT: 0.4%Hindsight Bias0.0%This article: 0.0%Isabella Cueto: 0.0%STAT: 1.3%Overconfidence Bias0.0%This article: 17.9%Isabella Cueto: 28.4%STAT: 8.1%Framing Effect17.9%This article: 0.0%Isabella Cueto: 0.0%STAT: 0.7%Loss Aversion0.0%This article: 0.0%Isabella Cueto: 0.0%STAT: 0.9%Status Quo Bias0.0%This article: 17.6%Isabella Cueto: 2.4%STAT: 0.2%Sunk Cost Effect17.6%This article: 0.0%Isabella Cueto: 0.0%STAT: 3.4%Optimism Bias0.0%This article: 0.0%Isabella Cueto: 0.0%STAT: 1.5%Pessimism Bias0.0%This article: 84.6%Isabella Cueto: 37.0%STAT: 8.4%Negativity Bias84.6%This article: 0.0%Isabella Cueto: 0.0%STAT: 1.2%Self-Serving Bias0.0%This article: 8.7%Isabella Cueto: 2.0%STAT: 0.4%Fundamental Attribution Error8.7%This article: 0.0%Isabella Cueto: 0.0%STAT: 0.1%Actor-Observer Bias0.0%This article: 0.0%Isabella Cueto: 0.0%STAT: 0.4%In-Group Bias0.0%This article: 0.0%Isabella Cueto: 2.4%STAT: 0.1%Out-Group Homogeneity Bias0.0%This article: 3.5%Isabella Cueto: 0.5%STAT: 1.4%Halo Effect3.5%This article: 0.0%Isabella Cueto: 0.0%STAT: 0.1%Horn Effect0.0%This article: 0.0%Isabella Cueto: 0.0%STAT: 0.0%Dunning-Kruger Effect0.0%This article: 11.2%Isabella Cueto: 2.7%STAT: 1.5%Recency Bias11.2%This article: 0.0%Isabella Cueto: 0.0%STAT: 0.4%Primacy Effect0.0%This article: 0.0%Isabella Cueto: 0.0%STAT: 0.1%Blind-Spot Bias0.0%This article: 8.7%Isabella Cueto: 1.2%STAT: 0.3%Ad Hominem8.7%This article: 5.4%Isabella Cueto: 0.8%STAT: 0.4%Straw Man5.4%This article: 13.1%Isabella Cueto: 4.2%STAT: 4.8%Appeal to Authority13.1%This article: 0.0%Isabella Cueto: 4.3%STAT: 1.5%False Dilemma0.0%This article: 0.0%Isabella Cueto: 2.3%STAT: 1.2%Slippery Slope0.0%This article: 0.0%Isabella Cueto: 0.0%STAT: 0.1%Circular Reasoning0.0%This article: 62.2%Isabella Cueto: 27.6%STAT: 4.7%Hasty Generalization62.2%This article: 0.0%Isabella Cueto: 0.0%STAT: 0.2%Red Herring0.0%This article: 0.0%Isabella Cueto: 0.4%STAT: 0.4%Bandwagon0.0%This article: 11.2%Isabella Cueto: 12.2%STAT: 3.6%Appeal to Emotion11.2%This article: 16.7%Isabella Cueto: 3.4%STAT: 0.9%Begging the Question16.7%This article: 41.7%Isabella Cueto: 10.5%STAT: 2.3%Post Hoc (False Cause)41.7%This article: 0.0%Isabella Cueto: 0.0%STAT: 0.1%Tu Quoque0.0%This article: 0.0%Isabella Cueto: 1.8%STAT: 0.7%Burden of Proof0.0%This article: 0.0%Isabella Cueto: 0.0%STAT: 0.2%Appeal to Nature0.0%This article: 0.0%Isabella Cueto: 0.0%STAT: 0.3%Composition/Division0.0%This article: 7.4%Isabella Cueto: 4.1%STAT: 3.4%Anecdotal7.4%This article: 0.0%Isabella Cueto: 0.0%STAT: 0.1%No True Scotsman0.0%This article: 3.2%Isabella Cueto: 0.4%STAT: 2.1%Ambiguity (Equivocation)3.2%This article: 0.0%Isabella Cueto: 0.0%STAT: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Isabella Cueto: 0.0%STAT: 0.3%Middle Ground0.0%This article: 0.0%Isabella Cueto: 0.0%STAT: 0.1%Personal Incredulity0.0%This article: 0.0%Isabella Cueto: 0.0%STAT: 0.2%Special Pleading0.0%This article: 0.0%Isabella Cueto: 1.8%STAT: 0.1%Genetic Fallacy0.0%This article: 11.2%Isabella Cueto: 3.8%STAT: 1.5%Unattributed Quote11.2%This article: 11.2%Isabella Cueto: 2.2%STAT: 0.9%Quote-first Misdirection11.2%This article: 45.5%Isabella Cueto: 40.2%STAT: 5.9%Biased Writer Voice45.5%This article: 3.2%Isabella Cueto: 1.9%STAT: 2.1%Indoctrination3.2%This article: 0.0%Isabella Cueto: 8.9%STAT: 0.8%Politically Left Leaning Bias0.0%This article: 5.1%Isabella Cueto: 0.7%STAT: 0.2%Politically Right Leaning Bias5.1%This article: 0.0%Isabella Cueto: 0.0%STAT: 3.4%Attempt to Sell a Product or S…0.0%

312 words analyzed.

Speakers

3speakers24%attributed speech236writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 10 words • 100.0% coverageWriter's voice • 10 words • 100.0% coverageWriter's voice • 27 words • 100.0% coverageWriter's voice • 17 words • 100.0% coverageWriter's voice • 23 words • 0.0% coverageWriter's voice • 6 words • 100.0% coverageSTAT • 30 words • 0.0% coverageWriter's voice • 27 words • 100.0% coverageWriter's voice • 26 words • 0.0% coverageWriter's voice • 55 words • 100.0% coverageWriter's voice • 35 words • 100.0% coverageMike Marshall • 35 words • 100.0% coverageAlcohol Policy Alliance • 11 words • 0.0% coverage
Selected voice

Mike Marshall

100%flagged-word coverage
35 attributed words46% of attributed speech100% writer coverage
0%50.0%100.0%Quote-first Misdirection+100.0 ptsWriter: 0.0%Mike Marshall: 100.0%100.0%Biased Writer Voice-60.2 ptsWriter: 60.2%Mike Marshall: 0.0%0.0%Unattributed Quote-14.8 ptsWriter: 14.8%Mike Marshall: 0.0%0.0%Politically Right Leaning -6.8 ptsWriter: 6.8%Mike Marshall: 0.0%0.0%Indoctrination-4.2 ptsWriter: 4.2%Mike Marshall: 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.