Journalists Dig Into HHS’ Covid Injury List, ACA Sign-Ups, and Telehealth 18%

7/18/2026, 9:00:00 AM

BS Summary: This article contains 6 faulty reasoning types, including Appeal to Authority, Attempt to Sell a Product or Service, and Framing Effect, with Negativity Bias as the most egregious example at 46.8% saturation with 65 hits. Analysis detected 234 faulty-reasoning hits from 139 analyzed words, generating a BS Score of 33.3% and a BS Rank of 18% (16,920 of 20,472 articles). This article is better (less manipulative) than 82.60% of the article peer group.

Céline Gounder, KFF Health News’ editor-at-large for public health, discussed the Department of Health and Human Services’ plan to offer compensation for automatic covid vaccine injuries and the drop in enrollment in Affordable Care Act health plans on CBS’ The Takeout With Major Garrett on July 10 and 9, respectively. 
Click here to watch Gounder discuss automatic covid vaccine injury compensation on The Takeout With Major Garrett . 
Click here to watch Gounder discuss ACA enrollment on The Takeout With Major Garrett . 
KFF Health News Southern correspondent Sam Whitehead discussed abortion telehealth on WUGA’s The Georgia Health Report on July 10. 
Click here to hear Whitehead on The Georgia Health Report . 
Read Kate Wells’  A Ban Won’t Stop Abortion Pill Access, Telehealth Providers Say .” 
Article reasoning-pattern comparisonThis article: 0.0%KFF Health News: 2.3%Confirmation Bias0.0%This article: 0.0%KFF Health News: 0.6%Anchoring Bias0.0%This article: 0.0%KFF Health News: 3.2%Availability Heuristic0.0%This article: 0.0%KFF Health News: 0.8%Representativeness Heuristic0.0%This article: 0.0%KFF Health News: 0.5%Hindsight Bias0.0%This article: 0.0%KFF Health News: 0.9%Overconfidence Bias0.0%This article: 18.7%KFF Health News: 5.3%Framing Effect18.7%This article: 0.0%KFF Health News: 1.1%Loss Aversion0.0%This article: 0.0%KFF Health News: 0.5%Status Quo Bias0.0%This article: 0.0%KFF Health News: 0.2%Sunk Cost Effect0.0%This article: 0.0%KFF Health News: 1.6%Optimism Bias0.0%This article: 0.0%KFF Health News: 1.8%Pessimism Bias0.0%This article: 46.8%KFF Health News: 7.3%Negativity Bias46.8%This article: 0.0%KFF Health News: 1.5%Self-Serving Bias0.0%This article: 0.0%KFF Health News: 0.6%Fundamental Attribution Error0.0%This article: 0.0%KFF Health News: 0.3%Actor-Observer Bias0.0%This article: 0.0%KFF Health News: 0.8%In-Group Bias0.0%This article: 0.0%KFF Health News: 0.5%Out-Group Homogeneity Bias0.0%This article: 0.0%KFF Health News: 1.0%Halo Effect0.0%This article: 0.0%KFF Health News: 0.0%Horn Effect0.0%This article: 0.0%KFF Health News: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%KFF Health News: 0.8%Recency Bias0.0%This article: 0.0%KFF Health News: 0.2%Primacy Effect0.0%This article: 0.0%KFF Health News: 0.1%Blind-Spot Bias0.0%This article: 0.0%KFF Health News: 0.5%Ad Hominem0.0%This article: 0.0%KFF Health News: 0.3%Straw Man0.0%This article: 46.8%KFF Health News: 4.6%Appeal to Authority46.8%This article: 0.0%KFF Health News: 1.2%False Dilemma0.0%This article: 0.0%KFF Health News: 1.0%Slippery Slope0.0%This article: 0.0%KFF Health News: 0.2%Circular Reasoning0.0%This article: 0.0%KFF Health News: 3.2%Hasty Generalization0.0%This article: 0.0%KFF Health News: 0.2%Red Herring0.0%This article: 0.0%KFF Health News: 0.3%Bandwagon0.0%This article: 0.0%KFF Health News: 4.7%Appeal to Emotion0.0%This article: 0.0%KFF Health News: 0.4%Begging the Question0.0%This article: 0.0%KFF Health News: 2.7%Post Hoc (False Cause)0.0%This article: 0.0%KFF Health News: 0.2%Tu Quoque0.0%This article: 0.0%KFF Health News: 0.6%Burden of Proof0.0%This article: 0.0%KFF Health News: 0.1%Appeal to Nature0.0%This article: 0.0%KFF Health News: 0.2%Composition/Division0.0%This article: 0.0%KFF Health News: 2.9%Anecdotal0.0%This article: 0.0%KFF Health News: 0.1%No True Scotsman0.0%This article: 0.0%KFF Health News: 1.1%Ambiguity (Equivocation)0.0%This article: 0.0%KFF Health News: 0.0%Gambler’s Fallacy0.0%This article: 0.0%KFF Health News: 0.1%Middle Ground0.0%This article: 0.0%KFF Health News: 0.2%Personal Incredulity0.0%This article: 0.0%KFF Health News: 0.2%Special Pleading0.0%This article: 0.0%KFF Health News: 0.1%Genetic Fallacy0.0%This article: 0.0%KFF Health News: 0.7%Unattributed Quote0.0%This article: 10.8%KFF Health News: 1.0%Quote-first Misdirection10.8%This article: 13.7%KFF Health News: 1.4%Biased Writer Voice13.7%This article: 0.0%KFF Health News: 0.6%Indoctrination0.0%This article: 0.0%KFF Health News: 1.0%Politically Left Leaning Bias0.0%This article: 0.0%KFF Health News: 0.4%Politically Right Leaning Bias0.0%This article: 31.7%KFF Health News: 0.4%Attempt to Sell a Product or S…31.7%

139 words analyzed.

Speakers

3speakers60%attributed speech55writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 11 words • 0.0% coverageCéline Gounder • 50 words • 0.0% coverageWriter's voice • 18 words • 100.0% coverageWriter's voice • 15 words • 100.0% coverageSam Whitehead • 19 words • 100.0% coverageWriter's voice • 11 words • 100.0% coverageKate Wells • 15 words • 100.0% coverage
Selected voice

Kate Wells

100%flagged-word coverage
15 attributed words18% of attributed speech100% writer coverage
0%50.0%100.0%Quote-first Misdirection+100.0 ptsWriter: 0.0%Kate Wells: 100.0%100.0%Attempt to Sell a Product -80.0 ptsWriter: 80.0%Kate Wells: 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.