Republicans who denied 2020 election results could be governors next year ⁠96%

By Dan Merica⁠0% Patrick Marley⁠0% Clara Ence Morse⁠0%

5/10/2026, 9:00:33 AM

BS Summary: This article contains 16 faulty reasoning types, including Biased Writer Voice, Hasty Generalization, and Negativity Bias, with Framing Effect as the most egregious example at 66.7% saturation with 100 hits. Analysis detected 509 faulty-reasoning hits from 150 analyzed words, generating a BS Score of 92.7% and a BS Rank of ⁠96% (1,010 of 21,175 articles). This article is worse (more manipulative) than 95.20% of the article peer group.

Political figures who took leading roles in trying to overturn the 2020 presidential election appear on track to win the Republican Party’s nomination for governor in several of the country’s biggest battleground states, including Arizona, Pennsylvania and Wisconsin. 
Electing such candidates for governor would give deniers key oversight of the 2028 presidential election in swing states like Arizona, Wisconsin and Pennsylvania. 
The potential impact of election-denying candidates on future elections. 
How Democrats plan to address election denialism while focusing on economic issues. 
Republican candidates who supported overturning the 2020 election are poised to win gubernatorial nominations in key battleground states. 
Their prominence highlights President Donald Trump’s influence and election denialism within the GOP. 
Democrats have expressed concern but aim to stay focused on economic issues. 
Some candidates have avoided discussing 2020, while others have openly supported election integrity measures. 
Article reasoning-pattern comparisonThis article: 0.0%Dan Merica: 4.1%The Washington Post: 3.8%Confirmation Bias0.0%This article: 0.0%Dan Merica: 1.4%The Washington Post: 1.3%Anchoring Bias0.0%This article: 25.3%Dan Merica: 3.4%The Washington Post: 4.9%Availability Heuristic25.3%This article: 9.3%Dan Merica: 0.9%The Washington Post: 1.0%Representativeness Heuristic9.3%This article: 0.0%Dan Merica: 0.0%The Washington Post: 0.5%Hindsight Bias0.0%This article: 0.0%Dan Merica: 0.0%The Washington Post: 1.2%Overconfidence Bias0.0%This article: 66.7%Dan Merica: 45.1%The Washington Post: 21.5%Framing Effect66.7%This article: 15.3%Dan Merica: 7.5%The Washington Post: 0.8%Loss Aversion15.3%This article: 0.0%Dan Merica: 0.0%The Washington Post: 0.9%Status Quo Bias0.0%This article: 0.0%Dan Merica: 0.0%The Washington Post: 0.1%Sunk Cost Effect0.0%This article: 8.0%Dan Merica: 0.8%The Washington Post: 3.6%Optimism Bias8.0%This article: 0.0%Dan Merica: 6.9%The Washington Post: 3.6%Pessimism Bias0.0%This article: 34.7%Dan Merica: 35.1%The Washington Post: 18.5%Negativity Bias34.7%This article: 0.0%Dan Merica: 0.0%The Washington Post: 1.5%Self-Serving Bias0.0%This article: 8.7%Dan Merica: 2.7%The Washington Post: 0.9%Fundamental Attribution Error8.7%This article: 0.0%Dan Merica: 0.0%The Washington Post: 0.1%Actor-Observer Bias0.0%This article: 8.0%Dan Merica: 7.1%The Washington Post: 2.2%In-Group Bias8.0%This article: 0.0%Dan Merica: 0.8%The Washington Post: 0.8%Out-Group Homogeneity Bias0.0%This article: 8.7%Dan Merica: 2.8%The Washington Post: 2.1%Halo Effect8.7%This article: 0.0%Dan Merica: 0.0%The Washington Post: 0.4%Horn Effect0.0%This article: 0.0%Dan Merica: 0.0%The Washington Post: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Dan Merica: 1.0%The Washington Post: 2.4%Recency Bias0.0%This article: 0.0%Dan Merica: 5.4%The Washington Post: 1.0%Primacy Effect0.0%This article: 0.0%Dan Merica: 0.0%The Washington Post: 0.0%Blind-Spot Bias0.0%This article: 0.0%Dan Merica: 0.0%The Washington Post: 0.9%Ad Hominem0.0%This article: 0.0%Dan Merica: 0.0%The Washington Post: 0.1%Straw Man0.0%This article: 0.0%Dan Merica: 0.0%The Washington Post: 5.2%Appeal to Authority0.0%This article: 9.3%Dan Merica: 3.0%The Washington Post: 1.5%False Dilemma9.3%This article: 15.3%Dan Merica: 8.4%The Washington Post: 1.0%Slippery Slope15.3%This article: 0.0%Dan Merica: 0.0%The Washington Post: 0.1%Circular Reasoning0.0%This article: 37.3%Dan Merica: 14.5%The Washington Post: 5.9%Hasty Generalization37.3%This article: 0.0%Dan Merica: 0.0%The Washington Post: 0.1%Red Herring0.0%This article: 0.0%Dan Merica: 0.0%The Washington Post: 0.5%Bandwagon0.0%This article: 0.0%Dan Merica: 6.7%The Washington Post: 6.3%Appeal to Emotion0.0%This article: 0.0%Dan Merica: 1.5%The Washington Post: 1.0%Begging the Question0.0%This article: 8.7%Dan Merica: 12.2%The Washington Post: 4.5%Post Hoc (False Cause)8.7%This article: 0.0%Dan Merica: 0.0%The Washington Post: 0.2%Tu Quoque0.0%This article: 0.0%Dan Merica: 2.0%The Washington Post: 0.6%Burden of Proof0.0%This article: 0.0%Dan Merica: 0.0%The Washington Post: 0.1%Appeal to Nature0.0%This article: 0.0%Dan Merica: 0.0%The Washington Post: 0.1%Composition/Division0.0%This article: 0.0%Dan Merica: 0.0%The Washington Post: 1.9%Anecdotal0.0%This article: 0.0%Dan Merica: 0.0%The Washington Post: 0.2%No True Scotsman0.0%This article: 15.3%Dan Merica: 2.5%The Washington Post: 2.7%Ambiguity (Equivocation)15.3%This article: 0.0%Dan Merica: 0.0%The Washington Post: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Dan Merica: 0.0%The Washington Post: 0.1%Middle Ground0.0%This article: 0.0%Dan Merica: 0.0%The Washington Post: 0.0%Personal Incredulity0.0%This article: 0.0%Dan Merica: 0.0%The Washington Post: 0.1%Special Pleading0.0%This article: 0.0%Dan Merica: 0.0%The Washington Post: 0.2%Genetic Fallacy0.0%This article: 0.0%Dan Merica: 7.4%The Washington Post: 4.8%Unattributed Quote0.0%This article: 0.0%Dan Merica: 2.9%The Washington Post: 2.5%Quote-first Misdirection0.0%This article: 60.0%Dan Merica: 37.6%The Washington Post: 15.2%Biased Writer Voice60.0%This article: 0.0%Dan Merica: 0.0%The Washington Post: 2.0%Indoctrination0.0%This article: 0.0%Dan Merica: 13.2%The Washington Post: 3.6%Politically Left Leaning Bias0.0%This article: 8.7%Dan Merica: 2.7%The Washington Post: 1.4%Politically Right Leaning Bias8.7%This article: 0.0%Dan Merica: 0.0%The Washington Post: 1.5%Attempt to Sell a Product or S…0.0%

150 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.