Topic summary
⁠51%1 analyzed article/video1,696 analyzed words
BS Summary: These Wildfire Impact On Forests results contain 27 faulty reasoning types, including Appeal to Emotion, Pessimism Bias, and Appeal to Authority, with Negativity Bias as the most egregious example at 17.1% saturation with 870 hits. Analysis detected 2,795 faulty-reasoning hits from 5,088 analyzed words across 1 article, generating a BS Score of 2% and a BS Rank of ⁠25% (12,512 of 16,562 topics). This Wildfire Impact On Forests is better (less manipulative) than 75.50% of the peer group.
Wildfire Impact On Forests
Topic ranking list
PercentileTopicBS Score
⁠0%Uber1%
⁠0%Pittsburgh Pirates1%
⁠0%Opera1%
⁠0%Holocaust1%
⁠0%Privacy Policy1%
⁠25%Wildfire Impact On Forests (selected)3%
⁠100%Radio Roundup / Week In Review60%
⁠100%E-Bikes / Rad Power Bikes60%
⁠100%E Bikes Rad Power Bikes60%
⁠100%The Last Word With Lawrence O'donnell69%
⁠100%The Last Word With Lawrence Odonnell69%
Topic details
Total words: 5,088
Article count: 1
Authors
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Attribute Prevalence (Top 48)
Wildfire Impact On Forests attribute prevalence percentages (biases/fallacies), sorted highest to lowest.
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Wildfire Impact On Forests vs sitewide
Wildfire Impact On Forests attribute percentages, with an overlaid sitewide baseline for those same attributes.

Analyzed articles and videos