Daily Kos⁠87%

‘Some tough breaks’: Trump toadie goes soft on economic spin ⁠91%

By Walter Einenkel⁠99%

7/31/2026, 12:00:00 PM

BS Summary: This article contains 19 faulty reasoning types, including Negativity Bias, Biased Writer Voice, and Confirmation Bias, with Framing Effect as the most egregious example at 74.5% saturation with 108 hits. Analysis detected 585 faulty-reasoning hits from 145 analyzed words, generating a BS Score of 79.3% and a BS Rank of ⁠91% (2,692 of 27,229 articles). This article is worse (more manipulative) than 90.10% of the article peer group.

National Economic Council Director Kevin Hassett appeared on Fox Business Friday to try to spin the woeful 1.5% GDP growth last quarter, rising inflation, and surging farm bankruptcies. 
“I think that America’s farmers have had some tough breaks,” Hassett said. 
“A bumper crop in Brazil made it so prices went down globally, the disruptions in the Gulf have made fertilizer prices go up, and it’s really, really important that we help farmers—we get them the relief they need at this difficult time.” 
“Disruptions in the Gulf” is certainly one way to refer to President Donald Trump’s disastrous Iran war. 
Hassett also left out one of the biggest drivers of increased costs for Americans: Trump’s tariffs. 
As Trump’s approval rating shows, Hassett can omit any fact he likes. 
The American people still know who’s to blame. 
Article reasoning-pattern comparisonThis article: 40.0%Walter Einenkel: 14.4%Daily Kos: 5.0%Confirmation Bias40.0%This article: 0.0%Walter Einenkel: 0.0%Daily Kos: 0.6%Anchoring Bias0.0%This article: 5.5%Walter Einenkel: 3.8%Daily Kos: 2.7%Availability Heuristic5.5%This article: 8.3%Walter Einenkel: 1.3%Daily Kos: 0.9%Representativeness Heuristic8.3%This article: 11.7%Walter Einenkel: 3.2%Daily Kos: 0.8%Hindsight Bias11.7%This article: 0.0%Walter Einenkel: 0.0%Daily Kos: 1.4%Overconfidence Bias0.0%This article: 74.5%Walter Einenkel: 26.1%Daily Kos: 7.6%Framing Effect74.5%This article: 0.0%Walter Einenkel: 0.0%Daily Kos: 0.5%Loss Aversion0.0%This article: 0.0%Walter Einenkel: 0.0%Daily Kos: 0.3%Status Quo Bias0.0%This article: 0.0%Walter Einenkel: 0.0%Daily Kos: 0.2%Sunk Cost Effect0.0%This article: 0.0%Walter Einenkel: 0.0%Daily Kos: 1.2%Optimism Bias0.0%This article: 0.0%Walter Einenkel: 0.0%Daily Kos: 1.7%Pessimism Bias0.0%This article: 57.2%Walter Einenkel: 29.8%Daily Kos: 13.6%Negativity Bias57.2%This article: 0.0%Walter Einenkel: 0.0%Daily Kos: 0.9%Self-Serving Bias0.0%This article: 11.7%Walter Einenkel: 1.9%Daily Kos: 2.1%Fundamental Attribution Error11.7%This article: 0.0%Walter Einenkel: 0.0%Daily Kos: 0.1%Actor-Observer Bias0.0%This article: 0.0%Walter Einenkel: 3.1%Daily Kos: 1.9%In-Group Bias0.0%This article: 0.0%Walter Einenkel: 0.0%Daily Kos: 1.1%Out-Group Homogeneity Bias0.0%This article: 0.0%Walter Einenkel: 0.0%Daily Kos: 1.5%Halo Effect0.0%This article: 0.0%Walter Einenkel: 4.0%Daily Kos: 0.7%Horn Effect0.0%This article: 0.0%Walter Einenkel: 0.0%Daily Kos: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Walter Einenkel: 0.0%Daily Kos: 1.3%Recency Bias0.0%This article: 5.5%Walter Einenkel: 0.9%Daily Kos: 0.3%Primacy Effect5.5%This article: 0.0%Walter Einenkel: 0.0%Daily Kos: 0.0%Blind-Spot Bias0.0%This article: 15.2%Walter Einenkel: 11.8%Daily Kos: 4.9%Ad Hominem15.2%This article: 0.0%Walter Einenkel: 1.9%Daily Kos: 1.2%Straw Man0.0%This article: 8.3%Walter Einenkel: 2.6%Daily Kos: 2.8%Appeal to Authority8.3%This article: 0.0%Walter Einenkel: 1.4%Daily Kos: 1.9%False Dilemma0.0%This article: 0.0%Walter Einenkel: 3.7%Daily Kos: 1.1%Slippery Slope0.0%This article: 0.0%Walter Einenkel: 1.3%Daily Kos: 0.2%Circular Reasoning0.0%This article: 5.5%Walter Einenkel: 7.7%Daily Kos: 8.1%Hasty Generalization5.5%This article: 29.0%Walter Einenkel: 9.2%Daily Kos: 0.4%Red Herring29.0%This article: 0.0%Walter Einenkel: 1.3%Daily Kos: 0.6%Bandwagon0.0%This article: 19.3%Walter Einenkel: 10.1%Daily Kos: 6.1%Appeal to Emotion19.3%This article: 0.0%Walter Einenkel: 3.8%Daily Kos: 1.5%Begging the Question0.0%This article: 11.7%Walter Einenkel: 1.9%Daily Kos: 3.1%Post Hoc (False Cause)11.7%This article: 0.0%Walter Einenkel: 3.1%Daily Kos: 0.4%Tu Quoque0.0%This article: 11.0%Walter Einenkel: 1.7%Daily Kos: 0.7%Burden of Proof11.0%This article: 0.0%Walter Einenkel: 0.0%Daily Kos: 0.1%Appeal to Nature0.0%This article: 0.0%Walter Einenkel: 0.0%Daily Kos: 0.3%Composition/Division0.0%This article: 0.0%Walter Einenkel: 0.0%Daily Kos: 1.8%Anecdotal0.0%This article: 0.0%Walter Einenkel: 0.0%Daily Kos: 0.2%No True Scotsman0.0%This article: 29.0%Walter Einenkel: 4.6%Daily Kos: 1.3%Ambiguity (Equivocation)29.0%This article: 0.0%Walter Einenkel: 0.0%Daily Kos: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Walter Einenkel: 0.0%Daily Kos: 0.1%Middle Ground0.0%This article: 0.0%Walter Einenkel: 0.0%Daily Kos: 0.1%Personal Incredulity0.0%This article: 0.0%Walter Einenkel: 0.0%Daily Kos: 0.2%Special Pleading0.0%This article: 0.0%Walter Einenkel: 0.0%Daily Kos: 0.4%Genetic Fallacy0.0%This article: 8.3%Walter Einenkel: 2.4%Daily Kos: 2.2%Unattributed Quote8.3%This article: 0.0%Walter Einenkel: 1.1%Daily Kos: 1.5%Quote-first Misdirection0.0%This article: 46.2%Walter Einenkel: 39.0%Daily Kos: 19.4%Biased Writer Voice46.2%This article: 5.5%Walter Einenkel: 2.6%Daily Kos: 1.8%Indoctrination5.5%This article: 0.0%Walter Einenkel: 31.2%Daily Kos: 9.1%Politically Left Leaning Bias0.0%This article: 0.0%Walter Einenkel: 0.0%Daily Kos: 0.4%Politically Right Leaning Bias0.0%This article: 0.0%Walter Einenkel: 0.0%Daily Kos: 1.8%Attempt to Sell a Product or S…0.0%

145 words analyzed.

Speakers

1speaker37%attributed speech91writer words
Selected voice

Kevin Hassett

100%flagged-word coverage
54 attributed words100% of attributed speech100% writer coverage
0%37.5%75.0%Biased Writer Voice-73.6 ptsWriter: 73.6%Kevin Hassett: 0.0%0.0%Unattributed Quote+22.2 ptsWriter: 0.0%Kevin Hassett: 22.2%22.2%Indoctrination-8.8 ptsWriter: 8.8%Kevin Hassett: 0.0%0.0%

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.