Raw Story94%

Dem senator confronts Mike Waltz over inaccurate war death toll 71%

By María Teresita Armstrong-Matta92%

7/23/2026, 12:45:01 AM

BS Summary: This article contains 15 faulty reasoning types, including Confirmation Bias, Appeal to Emotion, and Ambiguity (Equivocation), with Negativity Bias as the most egregious example at 35.5% saturation with 70 hits. Analysis detected 354 faulty-reasoning hits from 197 analyzed words, generating a BS Score of 64.5% and a BS Rank of 71% (5,809 of 20,056 articles). This article is worse (more manipulative) than 71.00% of the article peer group.

Rep. 
Ted Lieu (D-CA) engaged in a heated confrontation with U.S. 
Ambassador Mike Waltz. 
The altercation occurred during a House Committee on Foreign Affairs hearing Wednesday over casualty figures from the Iran war, according to KCRA. 
When Waltz claimed only "over a hundred" U.S. troops had been wounded, Lieu corrected him sharply, "That number is wrong." 
Lieu then cited the Pentagon's own Defense Casualty Analysis System showing 482 wounded. 
A total of 18 U.S. service members have been reported killed, including one whose death the Pentagon has not formally confirmed. 
Lieu challenged the contradiction between President Donald Trump's March claim that Iran's military was "massively obliterated" and the mounting casualty toll. 
"You should be ashamed! 
You don't know basic facts!" 
Claimed Lieu. 
Waltz defended the damage assessment, claiming Iranian military capability was "massively damaged, if not completely ineffective." 
"You should resign! 
You don't even care about the number of U.S. troops that were wounded!" 
Lieu said. 
Another Republican colleague intervened and pushed to strike Lieu's words from the record. 
"He lied to Congress!" 
Lieu said, "November is coming for you and this administration!" 
Watch the video below. 
Confirmation Bias
20.8%
Anchoring Bias
0%
Availability Heuristic
10.7%
Representativeness Heuristic
0%
Hindsight Bias
0%
Overconfidence Bias
0%
Framing Effect
10.7%
Loss Aversion
0%
Status Quo Bias
0%
Sunk Cost Effect
0%
Optimism Bias
8.1%
Pessimism Bias
0%
Negativity Bias
35.5%
Self-Serving Bias
0%
Fundamental Attribution Error
0%
Actor-Observer Bias
0%
In-Group Bias
0%
Out-Group Homogeneity Bias
0%
Halo Effect
0%
Horn Effect
0%
Dunning-Kruger Effect
0%
Recency Bias
5.1%
Primacy Effect
0%
Blind-Spot Bias
0%
Ad Hominem
11.2%
Straw Man
0%
Appeal to Authority
6.6%
False Dilemma
0%
Slippery Slope
0%
Circular Reasoning
0%
Hasty Generalization
0%
Red Herring
0%
Bandwagon
0%
Appeal to Emotion
19.8%
Begging the Question
10.7%
Post Hoc (False Cause)
5.1%
Tu Quoque
0%
Burden of Proof
2%
Appeal to Nature
0%
Composition/Division
0%
Anecdotal
0%
No True Scotsman
0%
Ambiguity (Equivocation)
18.3%
Gambler’s Fallacy
0%
Middle Ground
0%
Personal Incredulity
0%
Special Pleading
0%
Genetic Fallacy
0%
Unattributed Quote
10.2%
Quote-first Misdirection
0%
Biased Writer Voice
5.1%
Indoctrination
0%
Politically Left Leaning Bias
0%
Politically Right Leaning Bias
0%
Attempt to Sell a Product or Service
0%

197 words analyzed.

Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.