Does Monsanto v. Durnell bar Oklahoma from adding differing health warnings to pesticide labels? 7%

By Matthew Yim42%

8/4/2026, 9:00:00 AM

BS Summary: This article contains 8 faulty reasoning types, including Recency Bias, Ambiguity (Equivocation), and Post Hoc (False Cause), with Appeal to Authority as the most egregious example at 46.7% saturation with 91 hits. Analysis detected 259 faulty-reasoning hits from 195 analyzed words, generating a BS Score of 15.4% and a BS Rank of 7% (28,637 of 30,584 articles). This article is better (less manipulative) than 93.60% of the article peer group.

Monsanto v. 
Durnell bars all sub-national entities, including Oklahoma, from adding health warnings to pesticide labels different from the federal government’s. 
Missouri farmer John Durnell said he developed cancer after using Monsanto’s Roundup and sued the company for not disclosing the pesticide’s alleged cancer risk on the product label. 
The Missouri’s strict liability doctrine holds companies legally accountable for failing to warn about the dangerous nature of a product. 
On those grounds, Durnell was awarded $1.25 million dollars by a Missouri jury. 
The decision was appealed to the Supreme Court, which ruled against Durnell, holding in a 7-2 vote that under federal law, states cannot impose labeling requirements in addition to or different from those required by the Environmental Protection Agency. 
While the Environmental Protection Agency and European Union agencies have stated glyphosate, a chemical ingredient in Roundup, is unlikely to be carcinogenic, the World Health Organization deemed it probably carcinogenic to humans. 
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Oklahoma Watch partners with Gigafact to produce fact briefs  bite-sized fact checks of trending claims. 
Article reasoning-pattern comparisonThis article: 0.0%Matthew Yim: 0.7%Oklahoma Watch: 1.3%Confirmation Bias0.0%This article: 0.0%Matthew Yim: 3.8%Oklahoma Watch: 1.0%Anchoring Bias0.0%This article: 6.7%Matthew Yim: 2.3%Oklahoma Watch: 1.3%Availability Heuristic6.7%This article: 0.0%Matthew Yim: 2.7%Oklahoma Watch: 0.4%Representativeness Heuristic0.0%This article: 0.0%Matthew Yim: 0.0%Oklahoma Watch: 0.0%Hindsight Bias0.0%This article: 0.0%Matthew Yim: 0.0%Oklahoma Watch: 0.6%Overconfidence Bias0.0%This article: 0.0%Matthew Yim: 9.8%Oklahoma Watch: 2.3%Framing Effect0.0%This article: 0.0%Matthew Yim: 1.7%Oklahoma Watch: 1.0%Loss Aversion0.0%This article: 0.0%Matthew Yim: 1.6%Oklahoma Watch: 0.7%Status Quo Bias0.0%This article: 0.0%Matthew Yim: 0.0%Oklahoma Watch: 0.1%Sunk Cost Effect0.0%This article: 0.0%Matthew Yim: 0.6%Oklahoma Watch: 1.5%Optimism Bias0.0%This article: 0.0%Matthew Yim: 1.2%Oklahoma Watch: 1.5%Pessimism Bias0.0%This article: 0.0%Matthew Yim: 8.7%Oklahoma Watch: 5.1%Negativity Bias0.0%This article: 0.0%Matthew Yim: 0.0%Oklahoma Watch: 1.3%Self-Serving Bias0.0%This article: 0.0%Matthew Yim: 2.6%Oklahoma Watch: 0.8%Fundamental Attribution Error0.0%This article: 0.0%Matthew Yim: 0.0%Oklahoma Watch: 0.1%Actor-Observer Bias0.0%This article: 0.0%Matthew Yim: 0.0%Oklahoma Watch: 0.4%In-Group Bias0.0%This article: 0.0%Matthew Yim: 0.0%Oklahoma Watch: 0.2%Out-Group Homogeneity Bias0.0%This article: 0.0%Matthew Yim: 0.0%Oklahoma Watch: 0.6%Halo Effect0.0%This article: 0.0%Matthew Yim: 0.0%Oklahoma Watch: 0.3%Horn Effect0.0%This article: 0.0%Matthew Yim: 0.0%Oklahoma Watch: 0.0%Dunning-Kruger Effect0.0%This article: 20.0%Matthew Yim: 0.0%Oklahoma Watch: 0.5%Recency Bias20.0%This article: 0.0%Matthew Yim: 0.0%Oklahoma Watch: 0.1%Primacy Effect0.0%This article: 0.0%Matthew Yim: 0.0%Oklahoma Watch: 0.0%Blind-Spot Bias0.0%This article: 0.0%Matthew Yim: 0.0%Oklahoma Watch: 0.6%Ad Hominem0.0%This article: 0.0%Matthew Yim: 0.9%Oklahoma Watch: 0.1%Straw Man0.0%This article: 46.7%Matthew Yim: 3.4%Oklahoma Watch: 2.1%Appeal to Authority46.7%This article: 0.0%Matthew Yim: 2.1%Oklahoma Watch: 0.8%False Dilemma0.0%This article: 0.0%Matthew Yim: 0.0%Oklahoma Watch: 0.8%Slippery Slope0.0%This article: 0.0%Matthew Yim: 0.0%Oklahoma Watch: 0.1%Circular Reasoning0.0%This article: 0.0%Matthew Yim: 2.6%Oklahoma Watch: 1.7%Hasty Generalization0.0%This article: 0.0%Matthew Yim: 0.0%Oklahoma Watch: 0.1%Red Herring0.0%This article: 0.0%Matthew Yim: 0.0%Oklahoma Watch: 0.6%Bandwagon0.0%This article: 0.0%Matthew Yim: 3.0%Oklahoma Watch: 1.6%Appeal to Emotion0.0%This article: 0.0%Matthew Yim: 0.6%Oklahoma Watch: 0.3%Begging the Question0.0%This article: 14.4%Matthew Yim: 1.1%Oklahoma Watch: 1.1%Post Hoc (False Cause)14.4%This article: 0.0%Matthew Yim: 0.0%Oklahoma Watch: 0.0%Tu Quoque0.0%This article: 0.0%Matthew Yim: 0.0%Oklahoma Watch: 0.4%Burden of Proof0.0%This article: 0.0%Matthew Yim: 0.0%Oklahoma Watch: 0.1%Appeal to Nature0.0%This article: 0.0%Matthew Yim: 0.0%Oklahoma Watch: 0.2%Composition/Division0.0%This article: 14.4%Matthew Yim: 1.0%Oklahoma Watch: 1.2%Anecdotal14.4%This article: 0.0%Matthew Yim: 0.0%Oklahoma Watch: 0.0%No True Scotsman0.0%This article: 16.4%Matthew Yim: 2.8%Oklahoma Watch: 0.9%Ambiguity (Equivocation)16.4%This article: 0.0%Matthew Yim: 0.0%Oklahoma Watch: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Matthew Yim: 0.0%Oklahoma Watch: 0.2%Middle Ground0.0%This article: 0.0%Matthew Yim: 0.0%Oklahoma Watch: 0.0%Personal Incredulity0.0%This article: 0.0%Matthew Yim: 0.0%Oklahoma Watch: 0.0%Special Pleading0.0%This article: 0.0%Matthew Yim: 0.0%Oklahoma Watch: 0.1%Genetic Fallacy0.0%This article: 0.0%Matthew Yim: 0.0%Oklahoma Watch: 1.4%Unattributed Quote0.0%This article: 0.0%Matthew Yim: 0.6%Oklahoma Watch: 0.2%Quote-first Misdirection0.0%This article: 0.0%Matthew Yim: 3.2%Oklahoma Watch: 1.3%Biased Writer Voice0.0%This article: 8.2%Matthew Yim: 0.6%Oklahoma Watch: 0.0%Indoctrination8.2%This article: 0.0%Matthew Yim: 0.0%Oklahoma Watch: 0.0%Politically Left Leaning Bias0.0%This article: 0.0%Matthew Yim: 0.0%Oklahoma Watch: 0.1%Politically Right Leaning Bias0.0%This article: 6.2%Matthew Yim: 2.8%Oklahoma Watch: 0.3%Attempt to Sell a Product or S…6.2%

195 words analyzed.

Speakers

3speakers39%attributed speech119writer words
100%flagged-word coverage
32 attributed words42% of attributed speech71% writer coverage
0%7.5%15.0%Attempt to Sell a Product -10.1 ptsWriter: 10.1%World Health Organization: 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.