What's the harm in eating ultra-processed foods and what can I do about it? ⁠84%

10/22/2025, 5:00:00 PM

BS Summary: This article contains 11 faulty reasoning types, including Confirmation Bias, Ambiguity (Equivocation), and Unattributed Quote, with Appeal to Authority as the most egregious example at 55.2% saturation with 37 hits. Analysis detected 206 faulty-reasoning hits from 67 analyzed words, generating a BS Score of 75% and a BS Rank of ⁠84% (3,696 of 21,887 articles). This article is worse (more manipulative) than 83.10% of the article peer group.

An estimated one third of Canadian adults are obese, and ultra-processed foods are a major culprit. 
Leading nutrition scientist Kevin Hall recently co-wrote a new book on how foods nourish and harm us. 
He says understanding what's in our food is essential for our health, and that not all ultra-processed foods are bad. 
Article reasoning-pattern comparisonThis article: 29.9%CBC: 2.6%Confirmation Bias29.9%This article: 0.0%CBC: 0.7%Anchoring Bias0.0%This article: 23.9%CBC: 3.1%Availability Heuristic23.9%This article: 0.0%CBC: 1.1%Representativeness Heuristic0.0%This article: 0.0%CBC: 1.0%Hindsight Bias0.0%This article: 0.0%CBC: 1.4%Overconfidence Bias0.0%This article: 20.9%CBC: 4.2%Framing Effect20.9%This article: 0.0%CBC: 0.6%Loss Aversion0.0%This article: 0.0%CBC: 0.6%Status Quo Bias0.0%This article: 0.0%CBC: 0.2%Sunk Cost Effect0.0%This article: 0.0%CBC: 4.0%Optimism Bias0.0%This article: 0.0%CBC: 1.4%Pessimism Bias0.0%This article: 23.9%CBC: 5.7%Negativity Bias23.9%This article: 0.0%CBC: 1.2%Self-Serving Bias0.0%This article: 0.0%CBC: 0.9%Fundamental Attribution Error0.0%This article: 0.0%CBC: 0.2%Actor-Observer Bias0.0%This article: 0.0%CBC: 1.2%In-Group Bias0.0%This article: 0.0%CBC: 0.3%Out-Group Homogeneity Bias0.0%This article: 0.0%CBC: 3.6%Halo Effect0.0%This article: 0.0%CBC: 0.1%Horn Effect0.0%This article: 0.0%CBC: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%CBC: 1.2%Recency Bias0.0%This article: 25.4%CBC: 0.4%Primacy Effect25.4%This article: 0.0%CBC: 0.0%Blind-Spot Bias0.0%This article: 0.0%CBC: 0.4%Ad Hominem0.0%This article: 0.0%CBC: 0.2%Straw Man0.0%This article: 55.2%CBC: 3.7%Appeal to Authority55.2%This article: 0.0%CBC: 1.3%False Dilemma0.0%This article: 0.0%CBC: 0.4%Slippery Slope0.0%This article: 0.0%CBC: 0.2%Circular Reasoning0.0%This article: 23.9%CBC: 4.8%Hasty Generalization23.9%This article: 0.0%CBC: 0.2%Red Herring0.0%This article: 0.0%CBC: 0.6%Bandwagon0.0%This article: 0.0%CBC: 4.2%Appeal to Emotion0.0%This article: 0.0%CBC: 0.6%Begging the Question0.0%This article: 23.9%CBC: 2.5%Post Hoc (False Cause)23.9%This article: 0.0%CBC: 0.0%Tu Quoque0.0%This article: 0.0%CBC: 0.3%Burden of Proof0.0%This article: 0.0%CBC: 0.3%Appeal to Nature0.0%This article: 0.0%CBC: 0.3%Composition/Division0.0%This article: 0.0%CBC: 3.3%Anecdotal0.0%This article: 0.0%CBC: 0.1%No True Scotsman0.0%This article: 29.9%CBC: 1.6%Ambiguity (Equivocation)29.9%This article: 0.0%CBC: 0.0%Gambler’s Fallacy0.0%This article: 0.0%CBC: 0.1%Middle Ground0.0%This article: 0.0%CBC: 0.1%Personal Incredulity0.0%This article: 0.0%CBC: 0.1%Special Pleading0.0%This article: 0.0%CBC: 0.1%Genetic Fallacy0.0%This article: 29.9%CBC: 1.1%Unattributed Quote29.9%This article: 0.0%CBC: 0.8%Quote-first Misdirection0.0%This article: 20.9%CBC: 4.8%Biased Writer Voice20.9%This article: 0.0%CBC: 2.4%Indoctrination0.0%This article: 0.0%CBC: 0.4%Politically Left Leaning Bias0.0%This article: 0.0%CBC: 0.1%Politically Right Leaning Bias0.0%This article: 0.0%CBC: 1.7%Attempt to Sell a Product or S…0.0%

67 words analyzed.

Speakers

1speaker55%attributed speech30writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 14 words • 100.0% coverageWriter's voice • 16 words • 0.0% coverageKevin Hall • 17 words • 0.0% coverageKevin Hall • 20 words • 100.0% coverage
Selected voice

Kevin Hall

100%flagged-word coverage
37 attributed words100% of attributed speech100% writer coverage
0%27.5%55.0%Unattributed Quote+54.1 ptsWriter: 0.0%Kevin Hall: 54.1%54.1%Biased Writer Voice-46.7 ptsWriter: 46.7%Kevin Hall: 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.