Introduction There isn’t as much space between explanation and prediction as you’d think; both are had from the same elements of the problem at hand. Here’s how it all works. I’ll illustrate […]
Explanation Vs Prediction
The Deadly Sin Of Reification! Day Three
Zeno Phobia Counting day. How many ways can you skin a cat if the number of sharp versus dull knives is this and such. Simple stuff, easy to get the hang off. […]
Preface: The Philosophy of Probability and Statistics, An Introduction
%This is the Preface of The Philosophy of Probability and Statistics, An Introduction coming before Preface and before the chapters on Truth and Logic. Note the New & Improved title! Since this […]
The Data Is The Data, Not The Model: With Climatology Time Series Example
How not to plot The following plot was sent to me yesterday for comment. I cannot disclose the sender, nor the nature of the data, but neither of these are the least […]
A Common Fallacy In Global Warming Arguments
Our post today is provided by Terry Oldberg, M.S.E., M.S.E.E., P.E. Engineer-Scientist, Citizen of the U.S. That’s a lot of letters, Terry! Oldberg joined our Spot the Fallacy Contest, which had been […]
Let’s Try This Time Series Thing Again: Part V
Part I, II, III, IV, V. We started by assuming each X was measured without error, that each observation was perfectly certain. This is not always so for real X. It could […]
Let’s Try This Time Series Thing Again: Part II
Part I, II, III, IV, V. Before us are the observations X1 to X156. Recall we are assuming that each of these X has been measured without any error. Given that we […]
Let’s Try This Time Series Thing Again: Part III
Part I, II, III, IV, V. The objection which will occur to those, Lord help them, who have had some statistical training is that “increased” means a combination of “linear increase” and […]
Recent Comments