Why changing teens' relationship with social media requires a culture shift, not a ban ⁠68%

6/11/2026, 5:00:00 PM

BS Summary: This article contains 10 faulty reasoning types, including Pessimism Bias, Appeal to Authority, and Ambiguity (Equivocation), with False Dilemma as the most egregious example at 47.6% saturation with 40 hits. Analysis detected 226 faulty-reasoning hits from 84 analyzed words, generating a BS Score of 53.6% and a BS Rank of ⁠68% (9,389 of 28,902 articles). This article is worse (more manipulative) than 67.50% of the article peer group.

This week, the Canadian government tabled an online safety bill that includes a proposed social media ban for anyone under the age of 16. 
The move, which is supported by roughly 7 in 10 Canadians, comes six months after Australia implemented a similar law. 
But behavioural economist Leonardo Bursztyn, says a simple ban will do little to change teens' behaviour unless there is also a seismic shift in cultural norms. 
Article reasoning-pattern comparisonThis article: 0.0%CBC: 2.6%Confirmation Bias0.0%This article: 0.0%CBC: 0.7%Anchoring Bias0.0%This article: 0.0%CBC: 3.1%Availability Heuristic0.0%This article: 0.0%CBC: 1.1%Representativeness Heuristic0.0%This article: 0.0%CBC: 0.9%Hindsight Bias0.0%This article: 0.0%CBC: 1.4%Overconfidence Bias0.0%This article: 16.7%CBC: 4.1%Framing Effect16.7%This article: 0.0%CBC: 0.6%Loss Aversion0.0%This article: 16.7%CBC: 0.6%Status Quo Bias16.7%This article: 0.0%CBC: 0.3%Sunk Cost Effect0.0%This article: 0.0%CBC: 3.9%Optimism Bias0.0%This article: 31.0%CBC: 1.4%Pessimism Bias31.0%This article: 0.0%CBC: 5.6%Negativity Bias0.0%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: 23.8%CBC: 1.2%Recency Bias23.8%This article: 0.0%CBC: 0.4%Primacy Effect0.0%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: 31.0%CBC: 3.6%Appeal to Authority31.0%This article: 47.6%CBC: 1.3%False Dilemma47.6%This article: 0.0%CBC: 0.4%Slippery Slope0.0%This article: 0.0%CBC: 0.2%Circular Reasoning0.0%This article: 0.0%CBC: 4.8%Hasty Generalization0.0%This article: 0.0%CBC: 0.2%Red Herring0.0%This article: 23.8%CBC: 0.6%Bandwagon23.8%This article: 0.0%CBC: 4.2%Appeal to Emotion0.0%This article: 0.0%CBC: 0.6%Begging the Question0.0%This article: 0.0%CBC: 2.5%Post Hoc (False Cause)0.0%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: 3.2%Anecdotal0.0%This article: 0.0%CBC: 0.1%No True Scotsman0.0%This article: 31.0%CBC: 1.5%Ambiguity (Equivocation)31.0%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: 31.0%CBC: 1.1%Unattributed Quote31.0%This article: 0.0%CBC: 0.7%Quote-first Misdirection0.0%This article: 16.7%CBC: 4.7%Biased Writer Voice16.7%This article: 0.0%CBC: 2.3%Indoctrination0.0%This article: 0.0%CBC: 0.3%Politically Left Leaning Bias0.0%This article: 0.0%CBC: 0.1%Politically Right Leaning Bias0.0%This article: 0.0%CBC: 1.6%Attempt to Sell a Product or S…0.0%

84 words analyzed.

Speakers

2speakers60%attributed speech34writer words
Selected voice

Leonardo Bursztyn

100%flagged-word coverage
26 attributed words52% of attributed speech100% writer coverage
0%50.0%100.0%Unattributed Quote+100.0 ptsWriter: 0.0%Leonardo Bursztyn: 100.0%100.0%Biased Writer Voice-41.2 ptsWriter: 41.2%Leonardo Bursztyn: 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.