#### The Field Of Statistics Is Doomed — Unless It Abandons Testing & Parameter-Based Analysis

The first part of this article also appears at the Broken Science Initiative. Go there to read it, too, and many other good ones by other authors. We already saw…

#### Why Bayes Is Not The Fix We Need: A Critique of Bayesian Inference and its Application

I've pointed out many times some of the weaknesses of traditional statistical practices, and how the routine use of "hypothesis testing" leads to an ever-growing mountain of Broken Science. Some…

#### Making Up Data To Prove Models?

There is this idea in statistics called the "bootstrap." The idea is not crazy, but it's not quite right either. Works like this: data comes in, and usually some parameterized…

#### Questions On Statistical Practice Answered

Forgive me my friends, because of reasons I am terribly far behind on everything. Regular posting to resume soon. While back in a post, I was ranting about something like…

#### The Only Argument Against P-Values You Will Ever Need

Some two and a half years ago I posted this article: "An Infinity of Null Hypotheses — Another Anti-P-Value Argument". The title is unfortunate; or, rather, the subtitle is. It…

#### Solved: The Best Bayesian Prior To Use In Every Situation

Kevin Gray is back with another question, this time about priors. His last led to the post "Was Fisher Wrong? Whether Or Not Statistical Models Are Needed." (The answer was…

#### Researchers Claim “Climate Change” Causes Currency Vulnerability: An Instance Of Forgotten Uncertainties

Listen to the podcast at YouTube, Bitchute, or Gab. We know all about models by now, do we not, dear readers? A model, also known as a theory, can be…

#### How To Generate Scientific Over-Certainty

It's easy to sound more certain than the evidence warrants, especially when using classical parameter-based statistical methods. I'll show you how. I'll give you the procedure first, then work through…