Cannabis use grows among young people in Japan, especially in Tokyo ⁠73%

By No Author⁠44%

6/2/2026, 7:43:00 PM

BS Summary: This article contains 13 faulty reasoning types, including Framing Effect, Negativity Bias, and Confirmation Bias, with Biased Writer Voice as the most egregious example at 100% saturation with 86 hits. Analysis detected 448 faulty-reasoning hits from 86 analyzed words, generating a BS Score of 65.4% and a BS Rank of ⁠73% (5,901 of 21,887 articles). This article is worse (more manipulative) than 73.00% of the article peer group.

Cannabis use is becoming widespread among young people in Japan, especially in Tokyo. 
In 2025, people in their 20s and younger accounted for more than 70% of all those taken into police custody or otherwise processed in cannabis-related cases, pushing the total to a record high. 
Roughly one in six of the cases was dealt with by the Metropolitan Police Department, underscoring the scale of the problem in Tokyo, Japan’s capital and busiest urban center. 
Article reasoning-pattern comparisonThis article: 38.4%No Author: 3.2%The Japan Times: 3.5%Confirmation Bias38.4%This article: 0.0%No Author: 1.6%The Japan Times: 1.9%Anchoring Bias0.0%This article: 15.1%No Author: 3.9%The Japan Times: 4.7%Availability Heuristic15.1%This article: 15.1%No Author: 1.0%The Japan Times: 1.3%Representativeness Heuristic15.1%This article: 0.0%No Author: 0.2%The Japan Times: 0.6%Hindsight Bias0.0%This article: 0.0%No Author: 1.6%The Japan Times: 2.0%Overconfidence Bias0.0%This article: 61.6%No Author: 11.2%The Japan Times: 14.4%Framing Effect61.6%This article: 0.0%No Author: 0.4%The Japan Times: 0.9%Loss Aversion0.0%This article: 33.7%No Author: 0.8%The Japan Times: 1.3%Status Quo Bias33.7%This article: 0.0%No Author: 0.1%The Japan Times: 0.2%Sunk Cost Effect0.0%This article: 0.0%No Author: 4.7%The Japan Times: 4.7%Optimism Bias0.0%This article: 0.0%No Author: 2.4%The Japan Times: 3.3%Pessimism Bias0.0%This article: 51.2%No Author: 9.6%The Japan Times: 11.6%Negativity Bias51.2%This article: 0.0%No Author: 1.0%The Japan Times: 0.8%Self-Serving Bias0.0%This article: 0.0%No Author: 0.7%The Japan Times: 0.8%Fundamental Attribution Error0.0%This article: 0.0%No Author: 0.3%The Japan Times: 0.2%Actor-Observer Bias0.0%This article: 0.0%No Author: 1.1%The Japan Times: 1.0%In-Group Bias0.0%This article: 0.0%No Author: 0.4%The Japan Times: 0.8%Out-Group Homogeneity Bias0.0%This article: 0.0%No Author: 1.8%The Japan Times: 1.5%Halo Effect0.0%This article: 0.0%No Author: 0.0%The Japan Times: 0.1%Horn Effect0.0%This article: 0.0%No Author: 0.0%The Japan Times: 0.0%Dunning-Kruger Effect0.0%This article: 38.4%No Author: 1.9%The Japan Times: 2.2%Recency Bias38.4%This article: 0.0%No Author: 0.7%The Japan Times: 0.9%Primacy Effect0.0%This article: 0.0%No Author: 0.1%The Japan Times: 0.0%Blind-Spot Bias0.0%This article: 0.0%No Author: 0.2%The Japan Times: 0.2%Ad Hominem0.0%This article: 0.0%No Author: 0.1%The Japan Times: 0.1%Straw Man0.0%This article: 33.7%No Author: 4.8%The Japan Times: 5.5%Appeal to Authority33.7%This article: 0.0%No Author: 1.0%The Japan Times: 1.7%False Dilemma0.0%This article: 0.0%No Author: 0.6%The Japan Times: 1.0%Slippery Slope0.0%This article: 0.0%No Author: 0.2%The Japan Times: 0.2%Circular Reasoning0.0%This article: 27.9%No Author: 3.0%The Japan Times: 4.5%Hasty Generalization27.9%This article: 0.0%No Author: 0.3%The Japan Times: 0.3%Red Herring0.0%This article: 0.0%No Author: 0.7%The Japan Times: 0.6%Bandwagon0.0%This article: 0.0%No Author: 3.6%The Japan Times: 3.6%Appeal to Emotion0.0%This article: 0.0%No Author: 0.7%The Japan Times: 0.9%Begging the Question0.0%This article: 38.4%No Author: 3.4%The Japan Times: 4.2%Post Hoc (False Cause)38.4%This article: 0.0%No Author: 0.0%The Japan Times: 0.1%Tu Quoque0.0%This article: 0.0%No Author: 0.6%The Japan Times: 0.5%Burden of Proof0.0%This article: 0.0%No Author: 0.0%The Japan Times: 0.1%Appeal to Nature0.0%This article: 33.7%No Author: 0.2%The Japan Times: 0.2%Composition/Division33.7%This article: 0.0%No Author: 0.7%The Japan Times: 1.1%Anecdotal0.0%This article: 0.0%No Author: 0.0%The Japan Times: 0.0%No True Scotsman0.0%This article: 33.7%No Author: 2.3%The Japan Times: 3.0%Ambiguity (Equivocation)33.7%This article: 0.0%No Author: 0.0%The Japan Times: 0.0%Gambler’s Fallacy0.0%This article: 0.0%No Author: 0.1%The Japan Times: 0.1%Middle Ground0.0%This article: 0.0%No Author: 0.0%The Japan Times: 0.0%Personal Incredulity0.0%This article: 0.0%No Author: 0.1%The Japan Times: 0.1%Special Pleading0.0%This article: 0.0%No Author: 0.0%The Japan Times: 0.0%Genetic Fallacy0.0%This article: 0.0%No Author: 5.3%The Japan Times: 4.6%Unattributed Quote0.0%This article: 0.0%No Author: 2.1%The Japan Times: 1.8%Quote-first Misdirection0.0%This article: 100.0%No Author: 6.3%The Japan Times: 9.0%Biased Writer Voice100.0%This article: 0.0%No Author: 1.4%The Japan Times: 1.6%Indoctrination0.0%This article: 0.0%No Author: 0.3%The Japan Times: 0.6%Politically Left Leaning Bias0.0%This article: 0.0%No Author: 0.2%The Japan Times: 0.2%Politically Right Leaning Bias0.0%This article: 0.0%No Author: 0.3%The Japan Times: 0.5%Attempt to Sell a Product or S…0.0%

86 words analyzed.

Speakers

1speaker34%attributed speech57writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 11 words • 100.0% coverageWriter's voice • 13 words • 100.0% coverageWriter's voice • 33 words • 100.0% coverageMetropolitan Police Department • 29 words • 100.0% coverage
100%flagged-word coverage
29 attributed words100% of attributed speech100% writer coverage
0%50.0%100.0%Biased Writer Voice+0.0 ptsWriter: 100.0%Metropolitan Police Department: 100.0%100.0%

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.