So stupid.

Continue reading Claim: Racism causes smoking
So like, JunkScience has been been saying this for 21+ years. But whatever…

Continue reading Study: Science spin prevalent, researchers warn
A great example of differential misclassification bias that was a criticism of the secondhand smoke epidemiology — i.e., smokers pretending they were nonsmokers. Here’s a quantification of the effect.

Continue reading Study: Smokers in clinical studies who say they’ve quit often haven’t
Statistician and JunkScience.com friend Stan Young’s presentation at the American Statistical Society.

Continue reading Stan Young: Negative Findings in Epidemiology
Ridiculous. The real number is much closer to, if not zero. Reminds me of the first environmental project I ever worked on.

Stanford researchers close in on realities JunkScience.com exposed decades ago. But there is one important note to make here.

Continue reading Studies of scientific bias targeting the right problems, Stanford-led study finds
So where is a similar report for climate, EPA-funded and other government-funded ‘researchers’?

Lousy science is epidemic and has been for a long time — so long few know what science actually looks like. That’s why I had to write this:

Scientific data should not be suppressed. Continue reading Failure to publish trial results exposes patients to risks without providing benefits
“Research spin is when findings are made to look stronger or more positive than is justified by the study.” Continue reading How to Spot Research Spin: The Case of the Not-So-Simple Abstract
“It is bad enough that EPA and ATSDR intentionally and cynically manipulate the value their official, “safe” exposure levels for the express purpose of deceiving the general public and keeping the fear alive. Continue reading How Natural Variations Became Environmental Crises: The Numbers Racket
From the great John Ioannidis. Continue reading Misleading p-values showing up more often in biomedical journal articles, Stanford study finds