Topic summary
77%11 analyzed articles/videos9,580 analyzed words
BS Summary: These Energy Consumption results contain 50 faulty reasoning types, including Framing Effect, Negativity Bias, and Hasty Generalization, with Biased Writer Voice as the most egregious example at 8.7% saturation with 3,552 hits. Analysis detected 36,250 faulty-reasoning hits from 40,882 analyzed words across 11 articles, generating a BS Score of 1.8% and a BS Rank of 31% (17,066 of 24,545 topics). This Energy Consumption is better (less manipulative) than 69.50% of the peer group.

Ranking context

Position among analyzed topics

31% percentile
025507510030.5% percentile
1.8% BS Score11 analyzed articles40.9K analyzed words

Reasoning profile

Selected profile versus the sitewide rate

TopicSitewideShared scale 0–50%
0.0%10%20%30%40%50%Framing EffectSitewide 26.9%Topic 7.9%7.9%Appeal to EmotionSitewide 15.9%Topic 3.3%3.3%Negativity BiasSitewide 19.2%Topic 7.5%7.5%Appeal to AuthoritySitewide 11.1%Topic 4.5%4.5%In-Group BiasSitewide 6.9%Topic 0.5%0.5%Availability HeuristicSitewide 9.1%Topic 3.0%3.0%Halo EffectSitewide 6.7%Topic 0.8%0.8%Confirmation BiasSitewide 7.5%Topic 2.4%2.4%AnecdotalSitewide 5.2%Topic 1.8%1.8%Biased Writer VoiceSitewide 5.3%Topic 8.7%8.7%

Sitewide departure map

Above the diagonal means this profile uses the pattern more often

0.0%0.0%10%10%20%20%30%30%40%40%50%50%Framing Effect: Topic 7.9%, sitewide 26.9%Negativity Bias: Topic 7.5%, sitewide 19.2%Appeal to Emotion: Topic 3.3%, sitewide 15.9%Appeal to Authority: Topic 4.5%, sitewide 11.1%Availability Heuristic: Topic 3.0%, sitewide 9.1%Biased Writer Voice: Topic 8.7%, sitewide 5.3%Hasty Generalization: Topic 7.3%, sitewide 8.1%Confirmation Bias: Topic 2.4%, sitewide 7.5%In-Group Bias: Topic 0.5%, sitewide 6.9%Halo Effect: Topic 0.8%, sitewide 6.7%Optimism Bias: Topic 3.1%, sitewide 6.0%Anecdotal: Topic 1.8%, sitewide 5.2%Overconfidence Bias: Topic 2.4%, sitewide 4.6%Post Hoc (False Cause): Topic 4.4%, sitewide 3.3%Anchoring Bias: Topic 1.7%, sitewide 4.0%Self-Serving Bias: Topic 0.7%, sitewide 3.7%False Dilemma: Topic 3.2%, sitewide 1.5%Out-Group Homogeneity Bias: Topic 0.8%, sitewide 3.1%Fundamental Attribution Error: Topic 0.8%, sitewide 2.7%Recency Bias: Topic 1.4%, sitewide 2.7%Loss Aversion: Topic 0.9%, sitewide 2.5%Bandwagon: Topic 1.0%, sitewide 2.2%Status Quo Bias: Topic 0.7%, sitewide 2.2%Indoctrination: Topic 2.2%, sitewide 0.0%Framing EffectSitewide rateTopic rate

Analyzed articles and videos

Could empty cannabis grow facilities help solve the data center problem?17%
Denver Westword18%By Tom Downey12%8/2/2026, 6:30:00 AM
OpenAI secures 3.2GW for $30B Georgia data center in major US infrastructure push60%
Interesting Engineering73%By Aamir Khollam63%7/22/2026, 3:01:48 PM
AI data centers must produce as much power as they use, Australia PM says — new national AI framework will also ensure water efficiency and protect intellectual property rights71%
Tom's Hardware64%By Jowi Morales82%7/17/2026, 5:16:03 AM
Congress might make daylight saving time permanent. Experts say another approach could be even better.33%
Yahoo News58%By Mike Bebernes31%7/15/2026, 4:22:38 AM
Gobi X: Creating more energy for AI, not taking it from society75%
The Register60%7/13/2026, 6:00:00 PM
Data centers have moved into rural America. So have the concerns.49%
Investigate Midwest42%By Lauren Cross67% Investigate Midwest34%7/7/2026, 9:07:19 AM
‘Cost Me the Election’: Data Centers Trigger Voter Backlash81%
Newsweek61%By Joe Edwards0%6/25/2026, 2:47:01 AM
How Europe Became the World Champion of Heat Deaths80%
Quillette61%By Maarten Boudry0%6/23/2026, 11:00:11 PM
America’s data center backlash is bipartisan — can it stay that way?56%
Grist46%By Zoya Teirstein0% Kate Yoder69%6/22/2026, 1:45:00 AM
Seattle banned new data centers. Why do companies want them here anyway?49%
KUOW87%By Joshua McNichols0%6/18/2026, 4:54:44 PM