Next City⁠63%

Stories tagged ‘Sustainable Cities’ ⁠3%

8/1/2026, 11:15:52 AM

BS Summary: This article contains 6 faulty reasoning types, including False Dilemma, Halo Effect, and Post Hoc (False Cause), with Optimism Bias as the most egregious example at 7.5% saturation with 12 hits. Analysis detected 56 faulty-reasoning hits from 160 analyzed words, generating a BS Score of 8.8% and a BS Rank of ⁠3% (27,457 of 28,109 articles). This article is better (less manipulative) than 97.70% of the article peer group.

Top UN-Habitat Official on the Challenges and Solutions Facing Cities This Decade 
At World Urban Forum 10 in Abu Dhabi, a 20/20 Vision for Cities 
Art Leads to Solar Energy in Buffalo 
The Organization Providing the Blueprint to Equity in New York’s Green Economy 
Can the Financial System’s Best-Kept Secret Help Finance a Green New Deal? 
Planning for Fast-Rising Seas in Virginia’s Biggest City 
The Urbanist Stories That Made Headlines This Year 
Can Deconstructing Some of St. 
Louis’ Past Help Build a Sustainable Future? 
Making Sure All of Detroit Has a Voice on Sustainability 
Massachusetts Commission Sets Ambitious Climate, Transportation Goals 
One Hundred Cities Are Leading the Way to 100 Percent Clean Energy 
Five Cities Win Innovation Award in Guangzhou 
Getting onto the New Grid in Greater Boston 
Single-Stream Recycling (and China) Throwing Recycling Markets Into Chaos 
In Climate Plan, Indy Places Equity Front and Center 
The Future of Power Distribution Arrives on the South Side 
Article reasoning-pattern comparisonThis article: 0.0%Next City: 2.2%Confirmation Bias0.0%This article: 0.0%Next City: 0.0%Anchoring Bias0.0%This article: 0.0%Next City: 2.6%Availability Heuristic0.0%This article: 0.0%Next City: 0.1%Representativeness Heuristic0.0%This article: 0.0%Next City: 0.1%Hindsight Bias0.0%This article: 0.0%Next City: 1.3%Overconfidence Bias0.0%This article: 0.0%Next City: 12.9%Framing Effect0.0%This article: 0.0%Next City: 0.8%Loss Aversion0.0%This article: 0.0%Next City: 1.0%Status Quo Bias0.0%This article: 0.0%Next City: 0.0%Sunk Cost Effect0.0%This article: 7.5%Next City: 4.4%Optimism Bias7.5%This article: 0.0%Next City: 1.2%Pessimism Bias0.0%This article: 0.0%Next City: 5.7%Negativity Bias0.0%This article: 0.0%Next City: 0.1%Self-Serving Bias0.0%This article: 0.0%Next City: 0.2%Fundamental Attribution Error0.0%This article: 0.0%Next City: 0.0%Actor-Observer Bias0.0%This article: 0.0%Next City: 0.9%In-Group Bias0.0%This article: 0.0%Next City: 0.4%Out-Group Homogeneity Bias0.0%This article: 6.3%Next City: 1.5%Halo Effect6.3%This article: 0.0%Next City: 0.0%Horn Effect0.0%This article: 0.0%Next City: 0.0%Dunning-Kruger Effect0.0%This article: 5.0%Next City: 1.2%Recency Bias5.0%This article: 0.0%Next City: 0.0%Primacy Effect0.0%This article: 0.0%Next City: 0.0%Blind-Spot Bias0.0%This article: 0.0%Next City: 0.2%Ad Hominem0.0%This article: 0.0%Next City: 0.0%Straw Man0.0%This article: 0.0%Next City: 1.2%Appeal to Authority0.0%This article: 7.5%Next City: 1.7%False Dilemma7.5%This article: 0.0%Next City: 0.9%Slippery Slope0.0%This article: 0.0%Next City: 0.1%Circular Reasoning0.0%This article: 0.0%Next City: 5.9%Hasty Generalization0.0%This article: 0.0%Next City: 0.2%Red Herring0.0%This article: 0.0%Next City: 0.2%Bandwagon0.0%This article: 0.0%Next City: 3.7%Appeal to Emotion0.0%This article: 0.0%Next City: 0.2%Begging the Question0.0%This article: 5.6%Next City: 1.3%Post Hoc (False Cause)5.6%This article: 0.0%Next City: 0.0%Tu Quoque0.0%This article: 0.0%Next City: 0.2%Burden of Proof0.0%This article: 0.0%Next City: 0.2%Appeal to Nature0.0%This article: 0.0%Next City: 0.1%Composition/Division0.0%This article: 0.0%Next City: 1.1%Anecdotal0.0%This article: 0.0%Next City: 0.0%No True Scotsman0.0%This article: 3.1%Next City: 0.4%Ambiguity (Equivocation)3.1%This article: 0.0%Next City: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Next City: 0.1%Middle Ground0.0%This article: 0.0%Next City: 0.0%Personal Incredulity0.0%This article: 0.0%Next City: 0.0%Special Pleading0.0%This article: 0.0%Next City: 0.0%Genetic Fallacy0.0%This article: 0.0%Next City: 0.9%Unattributed Quote0.0%This article: 0.0%Next City: 0.6%Quote-first Misdirection0.0%This article: 0.0%Next City: 9.7%Biased Writer Voice0.0%This article: 0.0%Next City: 5.1%Indoctrination0.0%This article: 0.0%Next City: 11.4%Politically Left Leaning Bias0.0%This article: 0.0%Next City: 0.0%Politically Right Leaning Bias0.0%This article: 0.0%Next City: 2.8%Attempt to Sell a Product or S…0.0%

160 words analyzed.

Speakers

1speaker4.4%attributed speech153writer words
0%flagged-word coverage
7 attributed words100% of attributed speech37% writer coverage

No manipulation-pattern hits were found in this speaker's attributed words or the writer's voice.

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.