Keyword summary
0%1 analyzed article/video734 analyzed words
BS Summary: These Covid-19-Vaccines results contain 24 faulty reasoning types, including Negativity Bias, False Dilemma, and Attempt to Sell a Product or Service, with Framing Effect as the most egregious example at 15.2% saturation with 447 hits. Analysis detected 2,099 faulty-reasoning hits from 2,936 analyzed words across 1 article, generating a BS Score of 3% and a BS Rank of 52% (12,890 of 26,374 keywords). This Covid-19-Vaccines is worse (more manipulative) than 51.10% of the peer group.
Covid-19-Vaccines
Keyword ranking list
PercentileKeywordBS Score
0%Self-Driving Cars1%
0%Self Driving Cars1%
0%French Revolution1%
0%Anthony Broadwater1%
0%Alice Sebold1%
52%Covid-19-Vaccines (selected)3%
100%Rad Power Bikes60%
100%Mike Lewis60%
100%Joni Balter60%
100%Lawrence O'donnell69%
100%Bondi Beach Shooting70%
Keyword details
Total words: 2,936
Article count: 1
Authors
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Attribute Prevalence (Top 48)
Covid-19-Vaccines attribute prevalence percentages (biases/fallacies), sorted highest to lowest.
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Covid-19-Vaccines vs sitewide
Covid-19-Vaccines attribute percentages, with an overlaid sitewide baseline for those same attributes.

Analyzed articles and videos