Correlation Vs. Causation
In this second installment, BSI’s Emily Kaplan breaks down the difference between corollary studies and causal studies. Corollary studies can show relationships between data sets, they do not establish cause.
In this second installment, BSI’s Emily Kaplan breaks down the difference between corollary studies and causal studies. Corollary studies can show relationships between data sets, they do not establish cause.
William Briggs builds upon Greg Glassman’s Castro Ranch talk introducing The Broken Science Initiative. Briggs emphasizes that his critique is not aimed at all types of science, but rather at the growing prevalence of broken and bad science. Briggs highlights two especially impactful examples of broken science, namely the COVID “panic” and climate change. Using these examples, Briggs demonstrates how reliance on flawed models and blind trust in “the science” has lead to severe political and social ramifications for everyone.
Greg and BSI travelled to Hillsdale College to present for the Academy for Sciences and Freedom.
Summary William Briggs expands on Greg Glassman’s discussion about broken science by providing examples of scientific misconduct. He focuses on […]
Transcript Transcript — Transcript – Briggs, 2015 – The Crisis Of Evidence, Or, Why Probability & Statistics Cannot Discover Cause […]
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