ABC News99%

Millions lose health insurance 89%

6/29/2026, 5:24:45 AM

Topics: Video
Keywords: Youtube

BS Summary: This video contains 13 faulty reasoning types, including Negativity Bias, Appeal to Emotion, and Appeal to Authority, with Framing Effect as the most egregious example at 54% saturation with 107 hits. Analysis detected 771 faulty-reasoning hits from 198 analyzed words, generating a BS Score of 81.1% and a BS Rank of 89% (2,607 of 21,887 videos). This video is worse (more manipulative) than 88.10% of the video peer group.

millions of Americans have been eliminated from Affordable Care Act insurance for this year, facing double or triple digit increases in premium payments. 
Elizabeth Schulze here with the details. 
Good morning, Elizabeth. 
>> Hey, good morning, George. This is the first time we are seeing how millions of families are losing their health insurance as costs go up. 
A new government report shows about 19 million people were enrolled in the Affordable Care Act in the first 2 months of this year. 
That's down by 3 million people compared to last year. 
The Trump administration says this is because of its efforts to crack down on fraud, but health care analysts attribute this decline to soaring insurance costs after federal subsidies, which you'll remember were at the center of that record-long government shutdown. 
Those subsidies expired at the start of this year. 
The nonprofit KFF says that the average premium right now is up 58% this year from $113 a month to almost $180, and they do expect that millions more people will be forced to drop their coverage this year amid those skyrocketing costs, Michael. 
>> All right, thank you so much, Elizabeth. 
Article reasoning-pattern comparisonThis article: 20.7%ABC News: 2.2%Confirmation Bias20.7%This article: 5.1%ABC News: 0.7%Anchoring Bias5.1%This article: 13.6%ABC News: 3.0%Availability Heuristic13.6%This article: 0.0%ABC News: 0.9%Representativeness Heuristic0.0%This article: 0.0%ABC News: 0.5%Hindsight Bias0.0%This article: 0.0%ABC News: 1.1%Overconfidence Bias0.0%This article: 54.0%ABC News: 6.8%Framing Effect54.0%This article: 33.8%ABC News: 0.3%Loss Aversion33.8%This article: 0.0%ABC News: 0.4%Status Quo Bias0.0%This article: 0.0%ABC News: 0.1%Sunk Cost Effect0.0%This article: 0.0%ABC News: 2.4%Optimism Bias0.0%This article: 0.0%ABC News: 1.0%Pessimism Bias0.0%This article: 49.0%ABC News: 7.7%Negativity Bias49.0%This article: 0.0%ABC News: 1.5%Self-Serving Bias0.0%This article: 0.0%ABC News: 0.7%Fundamental Attribution Error0.0%This article: 0.0%ABC News: 0.1%Actor-Observer Bias0.0%This article: 20.7%ABC News: 0.8%In-Group Bias20.7%This article: 0.0%ABC News: 0.4%Out-Group Homogeneity Bias0.0%This article: 0.0%ABC News: 2.2%Halo Effect0.0%This article: 0.0%ABC News: 0.1%Horn Effect0.0%This article: 0.0%ABC News: 0.0%Dunning-Kruger Effect0.0%This article: 33.8%ABC News: 1.3%Recency Bias33.8%This article: 0.0%ABC News: 0.4%Primacy Effect0.0%This article: 0.0%ABC News: 0.1%Blind-Spot Bias0.0%This article: 0.0%ABC News: 0.5%Ad Hominem0.0%This article: 0.0%ABC News: 0.1%Straw Man0.0%This article: 34.3%ABC News: 3.3%Appeal to Authority34.3%This article: 20.7%ABC News: 0.9%False Dilemma20.7%This article: 0.0%ABC News: 0.3%Slippery Slope0.0%This article: 0.0%ABC News: 0.1%Circular Reasoning0.0%This article: 33.8%ABC News: 2.8%Hasty Generalization33.8%This article: 0.0%ABC News: 0.4%Red Herring0.0%This article: 0.0%ABC News: 0.4%Bandwagon0.0%This article: 49.0%ABC News: 4.3%Appeal to Emotion49.0%This article: 0.0%ABC News: 0.7%Begging the Question0.0%This article: 20.7%ABC News: 2.1%Post Hoc (False Cause)20.7%This article: 0.0%ABC News: 0.0%Tu Quoque0.0%This article: 0.0%ABC News: 0.4%Burden of Proof0.0%This article: 0.0%ABC News: 0.1%Appeal to Nature0.0%This article: 0.0%ABC News: 0.2%Composition/Division0.0%This article: 0.0%ABC News: 1.2%Anecdotal0.0%This article: 0.0%ABC News: 0.1%No True Scotsman0.0%This article: 0.0%ABC News: 1.8%Ambiguity (Equivocation)0.0%This article: 0.0%ABC News: 0.0%Gambler’s Fallacy0.0%This article: 0.0%ABC News: 0.0%Middle Ground0.0%This article: 0.0%ABC News: 0.0%Personal Incredulity0.0%This article: 0.0%ABC News: 0.2%Special Pleading0.0%This article: 0.0%ABC News: 0.1%Genetic Fallacy0.0%This article: 0.0%ABC News: 1.9%Unattributed Quote0.0%This article: 0.0%ABC News: 1.0%Quote-first Misdirection0.0%This article: 0.0%ABC News: 3.1%Biased Writer Voice0.0%This article: 0.0%ABC News: 0.6%Indoctrination0.0%This article: 0.0%ABC News: 0.7%Politically Left Leaning Bias0.0%This article: 0.0%ABC News: 0.2%Politically Right Leaning Bias0.0%This article: 0.0%ABC News: 1.0%Attempt to Sell a Product or S…0.0%

198 words analyzed.

Speakers

2speakers82%attributed speech36writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 4 words • 0.0% coverageWriter's voice • 23 words • 0.0% coverageWriter's voice • 6 words • 0.0% coverageWriter's voice • 3 words • 0.0% coverageElizabeth Schulze • 26 words • 0.0% coverageElizabeth Schulze • 24 words • 0.0% coverageElizabeth Schulze • 10 words • 0.0% coverageElizabeth Schulze • 41 words • 0.0% coverageElizabeth Schulze • 9 words • 0.0% coverageElizabeth Schulze • 44 words • 0.0% coverageGeorge Stephanopoulos • 8 words • 0.0% coverage
Selected voice

Elizabeth Schulze

94%flagged-word coverage
154 attributed words95% of attributed speech75% writer coverage

No manipulation-pattern hits were found in this speaker's attributed words or the writer's voice.

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.