Keyword summary
11%2 analyzed articles/videos5,136 analyzed words
BS Summary: These Reinforcement Learning results contain 32 faulty reasoning types, including Negativity Bias, Appeal to Authority, and Availability Heuristic, with Optimism Bias as the most egregious example at 8.6% saturation with 1,449 hits. Analysis detected 7,217 faulty-reasoning hits from 16,850 analyzed words across 2 articles, generating a BS Score of 1.3% and a BS Rank of 5% (26,650 of 27,864 keywords). This Reinforcement Learning is better (less manipulative) than 95.60% of the peer group.
Reinforcement Learning
Keyword ranking list
PercentileKeywordBS Score
0%Self-Driving Cars1%
0%Self Driving Cars1%
0%Bastille Day1%
0%Anthony Broadwater1%
0%Alice Sebold1%
5%Reinforcement Learning (selected)2%
100%Rad Power Bikes60%
100%Mike Lewis60%
100%Joni Balter60%
100%Lawrence O'donnell69%
100%Bondi Beach Shooting70%
Keyword details
Total words: 16,850
Article count: 2
Authors
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Attribute Prevalence (Top 48)
Reinforcement Learning attribute prevalence percentages (biases/fallacies), sorted highest to lowest.
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Reinforcement Learning vs sitewide
Reinforcement Learning attribute percentages, with an overlaid sitewide baseline for those same attributes.

Analyzed articles and videos