WAMU15%

Fighting extreme heat in 2026 70%

7/23/2026, 12:18:25 PM

BS Summary: This article contains 13 faulty reasoning types, including Availability Heuristic, Appeal to Authority, and Indoctrination, with Negativity Bias as the most egregious example at 46.5% saturation with 66 hits. Analysis detected 316 faulty-reasoning hits from 142 analyzed words, generating a BS Score of 62.7% and a BS Rank of 70% (6,706 of 21,887 articles). This article is worse (more manipulative) than 69.40% of the article peer group.

Extreme heat isn’t just an inconvenience. 
It’s a growing public health threat. 
More than 40 million people across the U.S. have remained under heat alerts this month. 
Heat remains the deadliest extreme weather event in the United States. 
At least 44 people have died as a result of July heatwaves. 
And in Europe, heatwaves killed more than 10,000 people in June, according to health data published this month. 
Climate change is making heatwaves hotter and more frequent. 
And high temps aren’t just being reported in daytime. 
Nighttime temperatures are higher than ever. 
And scientists say that’s raising the risk of heat exhaustion and heatstroke  and taking away crucial time for you and the planet to recover. 
What do you need to know about the effects of heat on your health? 
And how you can stay safe? 
Article reasoning-pattern comparisonThis article: 0.0%WAMU: 2.2%Confirmation Bias0.0%This article: 0.0%WAMU: 1.1%Anchoring Bias0.0%This article: 31.7%WAMU: 2.9%Availability Heuristic31.7%This article: 0.0%WAMU: 1.3%Representativeness Heuristic0.0%This article: 0.0%WAMU: 0.4%Hindsight Bias0.0%This article: 0.0%WAMU: 0.9%Overconfidence Bias0.0%This article: 10.6%WAMU: 5.2%Framing Effect10.6%This article: 4.2%WAMU: 1.4%Loss Aversion4.2%This article: 0.0%WAMU: 0.7%Status Quo Bias0.0%This article: 0.0%WAMU: 0.2%Sunk Cost Effect0.0%This article: 0.0%WAMU: 1.5%Optimism Bias0.0%This article: 4.2%WAMU: 2.3%Pessimism Bias4.2%This article: 46.5%WAMU: 7.4%Negativity Bias46.5%This article: 0.0%WAMU: 1.1%Self-Serving Bias0.0%This article: 0.0%WAMU: 0.5%Fundamental Attribution Error0.0%This article: 0.0%WAMU: 0.1%Actor-Observer Bias0.0%This article: 0.0%WAMU: 0.7%In-Group Bias0.0%This article: 0.0%WAMU: 0.5%Out-Group Homogeneity Bias0.0%This article: 0.0%WAMU: 0.6%Halo Effect0.0%This article: 0.0%WAMU: 0.0%Horn Effect0.0%This article: 0.0%WAMU: 0.0%Dunning-Kruger Effect0.0%This article: 8.5%WAMU: 1.3%Recency Bias8.5%This article: 9.9%WAMU: 0.4%Primacy Effect9.9%This article: 0.0%WAMU: 0.0%Blind-Spot Bias0.0%This article: 0.0%WAMU: 0.7%Ad Hominem0.0%This article: 0.0%WAMU: 0.1%Straw Man0.0%This article: 30.3%WAMU: 2.8%Appeal to Authority30.3%This article: 0.0%WAMU: 0.8%False Dilemma0.0%This article: 0.0%WAMU: 1.5%Slippery Slope0.0%This article: 0.0%WAMU: 0.1%Circular Reasoning0.0%This article: 10.6%WAMU: 4.5%Hasty Generalization10.6%This article: 0.0%WAMU: 0.1%Red Herring0.0%This article: 0.0%WAMU: 0.4%Bandwagon0.0%This article: 0.0%WAMU: 4.6%Appeal to Emotion0.0%This article: 0.0%WAMU: 0.6%Begging the Question0.0%This article: 17.6%WAMU: 1.9%Post Hoc (False Cause)17.6%This article: 0.0%WAMU: 0.1%Tu Quoque0.0%This article: 0.0%WAMU: 0.9%Burden of Proof0.0%This article: 0.0%WAMU: 0.1%Appeal to Nature0.0%This article: 0.0%WAMU: 0.3%Composition/Division0.0%This article: 0.0%WAMU: 2.5%Anecdotal0.0%This article: 0.0%WAMU: 0.0%No True Scotsman0.0%This article: 0.0%WAMU: 1.4%Ambiguity (Equivocation)0.0%This article: 0.0%WAMU: 0.0%Gambler’s Fallacy0.0%This article: 0.0%WAMU: 0.3%Middle Ground0.0%This article: 0.0%WAMU: 0.2%Personal Incredulity0.0%This article: 0.0%WAMU: 0.1%Special Pleading0.0%This article: 0.0%WAMU: 0.2%Genetic Fallacy0.0%This article: 17.6%WAMU: 1.2%Unattributed Quote17.6%This article: 0.0%WAMU: 0.9%Quote-first Misdirection0.0%This article: 12.7%WAMU: 2.7%Biased Writer Voice12.7%This article: 18.3%WAMU: 1.0%Indoctrination18.3%This article: 0.0%WAMU: 0.4%Politically Left Leaning Bias0.0%This article: 0.0%WAMU: 0.2%Politically Right Leaning Bias0.0%This article: 0.0%WAMU: 0.7%Attempt to Sell a Product or S…0.0%

142 words analyzed.

Speakers

No attributed speakers were identified in this analysis.

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Analysis

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