Next City⁠65%

Stories tagged ‘Resilient Cities’ ⁠37%

8/1/2026, 3:17:54 AM

BS Summary: This article contains 19 faulty reasoning types, including Negativity Bias, Appeal to Emotion, and Appeal to Authority, with Framing Effect as the most egregious example at 17% saturation with 27 hits. Analysis detected 273 faulty-reasoning hits from 159 analyzed words, generating a BS Score of 36.9% and a BS Rank of ⁠37% (17,931 of 28,112 articles). This article is better (less manipulative) than 63.80% of the article peer group.

What We Can Learn From One Florida Community About Climate Resilience 
Knowing Your Neighbors Could Save You From The Next Climate Disaster 
Distributed Renewable Energy For Emergencies And Resiliency 
Greater & Greener Highlights Urban Parks as Essential Element of Resilient Cities 
City Parks Alliance Focuses on Greater & Greener Equity 
The Bikeshare Systems Offering Free Rides on Election Day 
Collaboration: An Emerging Paradigm for Equitable and Just Recovery 
‘The Day We Don’t Have Mangroves, Our City Won’t Survive’: Quelimane, Mozambique, After Cyclone Idai 
What’s Next for the World’s Chief Resiliency Officers? 
Top UN-Habitat Official on the Challenges and Solutions Facing Cities This Decade 
How New Orleans Is Adding Art to Resilience Planning 
New Manual for Resilience Considers Puerto Rico’s Unique Challenges 
Living with the Weather in a Time of Climate Change 
Chicago’s Resiliency Plan Aims for Equity 
Cities Need to Take the Lead on Climate, New Report Says 
Boston Unveils Plan for Resilient, Inclusive Waterfront 
Article reasoning-pattern comparisonThis article: 0.0%Next City: 2.0%Confirmation Bias0.0%This article: 0.0%Next City: 0.3%Anchoring Bias0.0%This article: 6.9%Next City: 3.9%Availability Heuristic6.9%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: 1.2%Overconfidence Bias0.0%This article: 17.0%Next City: 14.2%Framing Effect17.0%This article: 0.0%Next City: 0.8%Loss Aversion0.0%This article: 7.5%Next City: 0.9%Status Quo Bias7.5%This article: 0.0%Next City: 0.0%Sunk Cost Effect0.0%This article: 8.8%Next City: 4.7%Optimism Bias8.8%This article: 6.3%Next City: 1.7%Pessimism Bias6.3%This article: 16.4%Next City: 5.7%Negativity Bias16.4%This article: 0.0%Next City: 0.1%Self-Serving Bias0.0%This article: 0.0%Next City: 0.1%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: 0.0%Next City: 1.4%Halo Effect0.0%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: 6.9%Next City: 1.2%Recency Bias6.9%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: 0.1%Ad Hominem0.0%This article: 0.0%Next City: 0.0%Straw Man0.0%This article: 14.5%Next City: 1.1%Appeal to Authority14.5%This article: 0.0%Next City: 1.6%False Dilemma0.0%This article: 9.4%Next City: 1.0%Slippery Slope9.4%This article: 0.0%Next City: 0.1%Circular Reasoning0.0%This article: 6.9%Next City: 5.6%Hasty Generalization6.9%This article: 0.0%Next City: 0.2%Red Herring0.0%This article: 5.7%Next City: 0.2%Bandwagon5.7%This article: 15.1%Next City: 3.4%Appeal to Emotion15.1%This article: 0.0%Next City: 0.2%Begging the Question0.0%This article: 0.0%Next City: 1.2%Post Hoc (False Cause)0.0%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: 7.5%Next City: 0.1%Appeal to Nature7.5%This article: 0.0%Next City: 1.2%Composition/Division0.0%This article: 5.7%Next City: 1.1%Anecdotal5.7%This article: 0.0%Next City: 0.0%No True Scotsman0.0%This article: 0.0%Next City: 0.4%Ambiguity (Equivocation)0.0%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: 9.4%Next City: 0.8%Unattributed Quote9.4%This article: 9.4%Next City: 0.6%Quote-first Misdirection9.4%This article: 6.9%Next City: 10.8%Biased Writer Voice6.9%This article: 5.7%Next City: 4.7%Indoctrination5.7%This article: 0.0%Next City: 12.4%Politically Left Leaning Bias0.0%This article: 0.0%Next City: 0.0%Politically Right Leaning Bias0.0%This article: 5.7%Next City: 2.7%Attempt to Sell a Product or S…5.7%

159 words analyzed.

Speakers

2speakers13%attributed speech138writer words
Selected voice

UN-Habitat

100%flagged-word coverage
12 attributed words57% of attributed speech85% writer coverage
0%7.5%15.0%Unattributed Quote-10.9 ptsWriter: 10.9%UN-Habitat: 0.0%0.0%Quote-first Misdirection-10.9 ptsWriter: 10.9%UN-Habitat: 0.0%0.0%Biased Writer Voice-8.0 ptsWriter: 8.0%UN-Habitat: 0.0%0.0%Indoctrination-6.5 ptsWriter: 6.5%UN-Habitat: 0.0%0.0%Attempt to Sell a Product -6.5 ptsWriter: 6.5%UN-Habitat: 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.