BS Summary: This article contains 8 faulty reasoning types, including Negativity Bias, Biased Writer Voice, and Fundamental Attribution Error, with Framing Effect as the most egregious example at 65.6% saturation with 40 hits. Analysis detected 204 faulty-reasoning hits from 61 analyzed words, generating a BS Score of 79.5% and a BS Rank of 86% (2,382 of 16,813 articles). This article is worse (more manipulative) than 85.80% of the article peer group.

Democratic state leaders around the country have an unusual strategy to stymie President Donald Trump’s $1.8 billion settlement fund for people who claim they were wrongly investigated by the government. 
California Gov. 
Gavin Newsom (D) has endorsed the idea of taxing any payouts from President Donald Trump's "Anti-Weaponization Fund." 
(Annabelle Gordon/Reuters) 
Confirmation Bias
0%
Anchoring Bias
0%
Availability Heuristic
0%
Representativeness Heuristic
0%
Hindsight Bias
0%
Overconfidence Bias
0%
Framing Effect
65.6%
Loss Aversion
0%
Status Quo Bias
0%
Sunk Cost Effect
0%
Optimism Bias
0%
Pessimism Bias
0%
Negativity Bias
65.6%
Self-Serving Bias
0%
Fundamental Attribution Error
49.2%
Actor-Observer Bias
0%
In-Group Bias
16.4%
Out-Group Homogeneity Bias
0%
Halo Effect
0%
Horn Effect
0%
Dunning-Kruger Effect
0%
Recency Bias
0%
Primacy Effect
27.9%
Blind-Spot Bias
0%
Ad Hominem
0%
Straw Man
0%
Appeal to Authority
0%
False Dilemma
0%
Slippery Slope
0%
Circular Reasoning
0%
Hasty Generalization
0%
Red Herring
0%
Bandwagon
0%
Appeal to Emotion
0%
Begging the Question
0%
Post Hoc (False Cause)
0%
Tu Quoque
0%
Burden of Proof
0%
Appeal to Nature
0%
Composition/Division
0%
Anecdotal
0%
No True Scotsman
0%
Ambiguity (Equivocation)
0%
Gambler’s Fallacy
0%
Middle Ground
0%
Personal Incredulity
0%
Special Pleading
0%
Genetic Fallacy
0%
Unattributed Quote
27.9%
Quote-first Misdirection
16.4%
Biased Writer Voice
65.6%
Indoctrination
0%
Politically Left Leaning Bias
0%
Politically Right Leaning Bias
0%
Attempt to Sell a Product or Service
0%

61 words analyzed.

Analysis

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