BS Summary: This article contains 9 faulty reasoning types, including Negativity Bias, Ambiguity (Equivocation), and Quote-first Misdirection, with Framing Effect as the most egregious example at 66.2% saturation with 45 hits. Analysis detected 262 faulty-reasoning hits from 68 analyzed words, generating a BS Score of 75% and a BS Rank of 83% (3,550 of 20,371 articles). This article is worse (more manipulative) than 82.60% of the article peer group.

President Donald Trump insisted he would not agree to a “crummy agreement” with Iran on Wednesday as he threatened to launch additional strikes there  while publicly pressuring Arab allies to also meet U.S. demands. 
Trump says Iran made a mistake by thinking impending elections would pressure him into making a deal: “I don’t care about the midterms.” 
Article reasoning-pattern comparisonThis article: 33.8%Natalie Allison: 4.8%The Washington Post: 3.8%Confirmation Bias33.8%This article: 0.0%Natalie Allison: 1.0%The Washington Post: 1.3%Anchoring Bias0.0%This article: 0.0%Natalie Allison: 3.6%The Washington Post: 4.9%Availability Heuristic0.0%This article: 0.0%Natalie Allison: 1.8%The Washington Post: 1.0%Representativeness Heuristic0.0%This article: 0.0%Natalie Allison: 0.2%The Washington Post: 0.5%Hindsight Bias0.0%This article: 0.0%Natalie Allison: 2.1%The Washington Post: 1.2%Overconfidence Bias0.0%This article: 66.2%Natalie Allison: 19.8%The Washington Post: 21.5%Framing Effect66.2%This article: 0.0%Natalie Allison: 0.2%The Washington Post: 0.8%Loss Aversion0.0%This article: 0.0%Natalie Allison: 0.9%The Washington Post: 0.9%Status Quo Bias0.0%This article: 0.0%Natalie Allison: 0.0%The Washington Post: 0.1%Sunk Cost Effect0.0%This article: 0.0%Natalie Allison: 4.4%The Washington Post: 3.6%Optimism Bias0.0%This article: 0.0%Natalie Allison: 3.6%The Washington Post: 3.6%Pessimism Bias0.0%This article: 66.2%Natalie Allison: 15.7%The Washington Post: 18.5%Negativity Bias66.2%This article: 0.0%Natalie Allison: 1.9%The Washington Post: 1.5%Self-Serving Bias0.0%This article: 33.8%Natalie Allison: 1.3%The Washington Post: 0.9%Fundamental Attribution Error33.8%This article: 0.0%Natalie Allison: 0.0%The Washington Post: 0.1%Actor-Observer Bias0.0%This article: 0.0%Natalie Allison: 2.7%The Washington Post: 2.2%In-Group Bias0.0%This article: 0.0%Natalie Allison: 1.0%The Washington Post: 0.8%Out-Group Homogeneity Bias0.0%This article: 0.0%Natalie Allison: 3.1%The Washington Post: 2.1%Halo Effect0.0%This article: 0.0%Natalie Allison: 1.7%The Washington Post: 0.4%Horn Effect0.0%This article: 0.0%Natalie Allison: 0.0%The Washington Post: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Natalie Allison: 1.4%The Washington Post: 2.4%Recency Bias0.0%This article: 0.0%Natalie Allison: 0.9%The Washington Post: 1.0%Primacy Effect0.0%This article: 0.0%Natalie Allison: 0.0%The Washington Post: 0.0%Blind-Spot Bias0.0%This article: 0.0%Natalie Allison: 0.4%The Washington Post: 0.9%Ad Hominem0.0%This article: 0.0%Natalie Allison: 0.8%The Washington Post: 0.1%Straw Man0.0%This article: 0.0%Natalie Allison: 4.2%The Washington Post: 5.2%Appeal to Authority0.0%This article: 33.8%Natalie Allison: 1.4%The Washington Post: 1.5%False Dilemma33.8%This article: 0.0%Natalie Allison: 3.2%The Washington Post: 1.0%Slippery Slope0.0%This article: 0.0%Natalie Allison: 0.4%The Washington Post: 0.1%Circular Reasoning0.0%This article: 0.0%Natalie Allison: 5.4%The Washington Post: 5.9%Hasty Generalization0.0%This article: 0.0%Natalie Allison: 0.0%The Washington Post: 0.1%Red Herring0.0%This article: 0.0%Natalie Allison: 0.5%The Washington Post: 0.5%Bandwagon0.0%This article: 0.0%Natalie Allison: 7.3%The Washington Post: 6.3%Appeal to Emotion0.0%This article: 0.0%Natalie Allison: 2.1%The Washington Post: 1.0%Begging the Question0.0%This article: 0.0%Natalie Allison: 0.5%The Washington Post: 4.5%Post Hoc (False Cause)0.0%This article: 0.0%Natalie Allison: 0.2%The Washington Post: 0.2%Tu Quoque0.0%This article: 0.0%Natalie Allison: 1.1%The Washington Post: 0.6%Burden of Proof0.0%This article: 0.0%Natalie Allison: 0.0%The Washington Post: 0.1%Appeal to Nature0.0%This article: 0.0%Natalie Allison: 0.0%The Washington Post: 0.1%Composition/Division0.0%This article: 0.0%Natalie Allison: 1.7%The Washington Post: 1.9%Anecdotal0.0%This article: 0.0%Natalie Allison: 0.0%The Washington Post: 0.2%No True Scotsman0.0%This article: 51.5%Natalie Allison: 3.3%The Washington Post: 2.7%Ambiguity (Equivocation)51.5%This article: 0.0%Natalie Allison: 0.0%The Washington Post: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Natalie Allison: 0.2%The Washington Post: 0.1%Middle Ground0.0%This article: 0.0%Natalie Allison: 0.0%The Washington Post: 0.0%Personal Incredulity0.0%This article: 0.0%Natalie Allison: 0.3%The Washington Post: 0.1%Special Pleading0.0%This article: 0.0%Natalie Allison: 0.0%The Washington Post: 0.2%Genetic Fallacy0.0%This article: 33.8%Natalie Allison: 4.0%The Washington Post: 4.8%Unattributed Quote33.8%This article: 51.5%Natalie Allison: 3.7%The Washington Post: 2.5%Quote-first Misdirection51.5%This article: 14.7%Natalie Allison: 11.4%The Washington Post: 15.2%Biased Writer Voice14.7%This article: 0.0%Natalie Allison: 1.4%The Washington Post: 2.0%Indoctrination0.0%This article: 0.0%Natalie Allison: 2.2%The Washington Post: 3.6%Politically Left Leaning Bias0.0%This article: 0.0%Natalie Allison: 4.0%The Washington Post: 1.4%Politically Right Leaning Bias0.0%This article: 0.0%Natalie Allison: 0.0%The Washington Post: 1.5%Attempt to Sell a Product or S…0.0%

68 words analyzed.

Speakers

1speaker100%attributed speech0writer words
Voice mapSelect a segment to jump to its words
Trump • 10 words • 100.0% coverageTrump • 35 words • 100.0% coverageTrump • 23 words • 100.0% coverage
Selected voice

Trump

100%flagged-word coverage
68 attributed words100% of attributed speech0% writer coverage
0%27.5%55.0%Quote-first Misdirection+51.5 ptsWriter: 0.0%Trump: 51.5%51.5%Unattributed Quote+33.8 ptsWriter: 0.0%Trump: 33.8%33.8%Biased Writer Voice+14.7 ptsWriter: 0.0%Trump: 14.7%14.7%

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.