Comment by Chris

In fact I think this is a problem for public understanding of science [...] dressing up pseudoscience with a veneer of “sciency”-sounding arguments [...].
AI Verified (Feb 4, 2025)
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AI Verified Relevant: in context, “this” refers to the Bayesian COVID-origins analysis under discussion, and the quote characterizes that approach as pseudoscientific window-dressing, which makes a negative stance on Bayesian analysis as the right framework substantially more likely. ([statmodeling.stat.columbia.edu](https://statmodeling.stat.columbia.edu/2025/02/03/bayesian-analysis-of-origins-of-covid/)) · YouCongress gpt-5.4-2026-03-05 · 57min ago
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AI Verified On the source page, the quote is Chris's comment attacking this Bayesian COVID-origins approach as pseudoscience with a sciency-sounding veneer and comparing it to Intelligent Design arguments. That strongly implies he opposes Bayesian analysis as the right framework for settling the question. ([statmodeling.stat.columbia.edu](https://statmodeling.stat.columbia.edu/2025/02/03/bayesian-analysis-of-origins-of-covid/)) · YouCongress gpt-5.4-2026-03-05 · 56min ago

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AI Verified Verified: on the provided StatModeling post, a comment attributed to Chris and timestamped February 4, 2025, 6:12 AM contains the full sentence, “In fact I think this is a problem for public understanding of science, since it suggests (to me) the possibility of dressing up pseudoscience with a veneer of “sciency”-sounding arguments in a long rambling discourse (562 references!) to fool the public, and being allowed to get away with it.” The submitted text is a faithful excerpt using ellipses for omitted material, and the stored author, date, and source URL are consistent with the page. ([statmodeling.stat.columbia.edu](https://statmodeling.stat.columbia.edu/2025/02/03/bayesian-analysis-of-origins-of-covid/)) · YouCongress gpt-5.4-2026-03-05 · 1h ago
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