Mindless Statistics
Gerd dives into the history of statistical analysis in his field of psychology, which has led to a paradigm of rituals, in place of meaningful thought.
Gerd dives into the history of statistical analysis in his field of psychology, which has led to a paradigm of rituals, in place of meaningful thought.
Malcolm elaborates on the power to manipulate studies when placebos are not benign.
Big Soda has a history of cleverly concealing their influence in the health and fitness space by funneling sponsorship through proxy organizations.
Greg Glassman kicked off the 2024 BSI Epistemology Camp with this presentation. Greg’s talk centers around the ‘breaking point’ from modern science to post modern science.
William Briggs rebuts at a recent publication that claimed intermittent fasting increases risk of cardiovascular death.
As everyone knows, a placebo is an inactive ‘sugar’ pill. Except when it isn’t. Which is almost always.
Dr. Drew and Emily call attention to the flaws in the current state of modern science. Emily and Drew discuss the Dana-Farber scandal, the cost/benefit of going to college, the do-or-die culture in science, and the lack of curiosity among journalists.
William Briggs explains the basics of calculating probability, which pieces of the calculation are subjective, and how the results can influence beliefs and actions.
Breaking down composite endpoints to their component parts.
In this video Emily explains the difference between a Bayesian approach and a frequentist approach to analyzing statistics. A Bayesian analysis looks at prior probabilities combined with data to determine the probability that the hypothesis is true. A frequentist analysis compares the hypothesis to the null-hypothesis, a yes/no approach, to determine if the data could support the null-hypothesis. It then ranks the data with a P-value, but it actually says nothing about the hypothesis being true.
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