STAT⁠60%

Shortlist for new FDA commissioner now in hands of White House ⁠28%

By Daniel Payne⁠24%

7/8/2026, 11:51:54 AM

BS Summary: This article contains 11 faulty reasoning types, including Negativity Bias, Unattributed Quote, and Framing Effect, with Attempt to Sell a Product or Service as the most egregious example at 45.1% saturation with 125 hits. Analysis detected 357 faulty-reasoning hits from 277 analyzed words, generating a BS Score of 33% and a BS Rank of ⁠28% (20,069 of 27,848 articles). This article is better (less manipulative) than 72.10% of the article peer group.

White House reviewing top contenders to lead FDA 
Heidi Overton, Jeffrey Vacirca, and Stephen Ferrara are among finalists 
Sarah Silbiger/Getty Images 
Washington Correspondent 
Daniel covers the intersection of the health industry and the federal government. 
He reports on corporate influence in government, the health consequences of federal policies, and the politics of health care. 
Confidential tips can be sent on Signal at danielp.100. 
WASHINGTON — The top contenders to lead the Food and Drug Administration have been sent to the White House for a final review and decision, according to a person familiar with the process. 
The finalists include Heidi Overton, a White House adviser; Jeffrey Vacirca, an oncologist and health system executive; and Stephen Ferrara, a health affairs official at the Defense Department. 
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Article reasoning-pattern comparisonThis article: 0.0%Daniel Payne: 1.0%STAT: 2.9%Confirmation Bias0.0%This article: 0.0%Daniel Payne: 0.0%STAT: 1.0%Anchoring Bias0.0%This article: 0.0%Daniel Payne: 0.0%STAT: 3.2%Availability Heuristic0.0%This article: 0.0%Daniel Payne: 0.2%STAT: 0.8%Representativeness Heuristic0.0%This article: 0.0%Daniel Payne: 0.0%STAT: 0.3%Hindsight Bias0.0%This article: 0.0%Daniel Payne: 0.0%STAT: 1.0%Overconfidence Bias0.0%This article: 11.6%Daniel Payne: 1.8%STAT: 6.7%Framing Effect11.6%This article: 6.5%Daniel Payne: 1.7%STAT: 0.7%Loss Aversion6.5%This article: 0.0%Daniel Payne: 0.0%STAT: 0.7%Status Quo Bias0.0%This article: 0.0%Daniel Payne: 0.5%STAT: 0.2%Sunk Cost Effect0.0%This article: 1.4%Daniel Payne: 3.6%STAT: 2.7%Optimism Bias1.4%This article: 0.0%Daniel Payne: 0.0%STAT: 1.6%Pessimism Bias0.0%This article: 20.2%Daniel Payne: 1.5%STAT: 7.3%Negativity Bias20.2%This article: 0.0%Daniel Payne: 1.8%STAT: 1.0%Self-Serving Bias0.0%This article: 0.0%Daniel Payne: 0.0%STAT: 0.5%Fundamental Attribution Error0.0%This article: 0.0%Daniel Payne: 0.0%STAT: 0.1%Actor-Observer Bias0.0%This article: 0.0%Daniel Payne: 0.7%STAT: 0.4%In-Group Bias0.0%This article: 0.0%Daniel Payne: 0.0%STAT: 0.1%Out-Group Homogeneity Bias0.0%This article: 5.1%Daniel Payne: 4.5%STAT: 1.0%Halo Effect5.1%This article: 0.0%Daniel Payne: 0.0%STAT: 0.1%Horn Effect0.0%This article: 0.0%Daniel Payne: 0.0%STAT: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Daniel Payne: 0.0%STAT: 1.3%Recency Bias0.0%This article: 0.0%Daniel Payne: 0.0%STAT: 0.4%Primacy Effect0.0%This article: 0.0%Daniel Payne: 0.0%STAT: 0.1%Blind-Spot Bias0.0%This article: 0.0%Daniel Payne: 0.0%STAT: 0.3%Ad Hominem0.0%This article: 0.0%Daniel Payne: 0.0%STAT: 0.4%Straw Man0.0%This article: 10.1%Daniel Payne: 1.1%STAT: 3.7%Appeal to Authority10.1%This article: 3.6%Daniel Payne: 0.3%STAT: 1.3%False Dilemma3.6%This article: 0.0%Daniel Payne: 0.0%STAT: 0.9%Slippery Slope0.0%This article: 0.0%Daniel Payne: 0.0%STAT: 0.1%Circular Reasoning0.0%This article: 0.0%Daniel Payne: 0.9%STAT: 3.7%Hasty Generalization0.0%This article: 0.0%Daniel Payne: 0.0%STAT: 0.2%Red Herring0.0%This article: 0.0%Daniel Payne: 0.0%STAT: 0.4%Bandwagon0.0%This article: 0.0%Daniel Payne: 0.0%STAT: 3.2%Appeal to Emotion0.0%This article: 0.0%Daniel Payne: 0.0%STAT: 0.6%Begging the Question0.0%This article: 0.0%Daniel Payne: 2.2%STAT: 1.8%Post Hoc (False Cause)0.0%This article: 0.0%Daniel Payne: 0.0%STAT: 0.0%Tu Quoque0.0%This article: 0.0%Daniel Payne: 0.0%STAT: 0.5%Burden of Proof0.0%This article: 0.0%Daniel Payne: 0.0%STAT: 0.1%Appeal to Nature0.0%This article: 0.0%Daniel Payne: 0.0%STAT: 0.2%Composition/Division0.0%This article: 0.0%Daniel Payne: 2.5%STAT: 2.5%Anecdotal0.0%This article: 0.0%Daniel Payne: 0.0%STAT: 0.0%No True Scotsman0.0%This article: 0.0%Daniel Payne: 0.4%STAT: 1.6%Ambiguity (Equivocation)0.0%This article: 0.0%Daniel Payne: 0.0%STAT: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Daniel Payne: 0.0%STAT: 0.3%Middle Ground0.0%This article: 0.0%Daniel Payne: 0.0%STAT: 0.1%Personal Incredulity0.0%This article: 0.0%Daniel Payne: 0.0%STAT: 0.1%Special Pleading0.0%This article: 0.0%Daniel Payne: 0.0%STAT: 0.1%Genetic Fallacy0.0%This article: 11.9%Daniel Payne: 0.9%STAT: 1.3%Unattributed Quote11.9%This article: 0.0%Daniel Payne: 0.0%STAT: 0.8%Quote-first Misdirection0.0%This article: 6.9%Daniel Payne: 0.9%STAT: 5.1%Biased Writer Voice6.9%This article: 6.5%Daniel Payne: 1.8%STAT: 1.8%Indoctrination6.5%This article: 0.0%Daniel Payne: 0.0%STAT: 0.8%Politically Left Leaning Bias0.0%This article: 0.0%Daniel Payne: 0.0%STAT: 0.1%Politically Right Leaning Bias0.0%This article: 45.1%Daniel Payne: 9.1%STAT: 2.3%Attempt to Sell a Product or S…45.1%

277 words analyzed.

Speakers

2speakers52%attributed speech132writer words
Selected voice

organization:STAT+

91%flagged-word coverage
137 attributed words94% of attributed speech61% writer coverage
0%47.5%95.0%Attempt to Sell a Product +91.2 ptsWriter: 0.0%organization:STAT+: 91.2%91.2%Unattributed Quote-25.0 ptsWriter: 25.0%organization:STAT+: 0.0%0.0%Biased Writer Voice-14.4 ptsWriter: 14.4%organization:STAT+: 0.0%0.0%Indoctrination+13.1 ptsWriter: 0.0%organization:STAT+: 13.1%13.1%

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.