Search Results for “"time series"” – Page 2

The Ugly Unreality Of The Homogenization Of Time Series: Why Climate Scientists Are Too Sure Of Themselves

Day two of the week of classical posts on global warming, now "climate change". Your author has many bona fides and much experience in this field: see this. Announcement. I…

Statistics

Stream: xkcd’s Global Warming Time Series Mistakes

Today's post is at the Stream: xkcd's Global Warming Time Series Mistakes. The popular web cartoon xkcd has provided a wonderful opportunity to plug my must-read (and too expensive) book…

Statistics

Heartland Climate Conference: Day 1. Everybody Gets Time Series Wrong

As predicted, there were cigars. But I missed them. The smoking party left without me while I listed to Ireland's version of the Mr Wizard brothers. A science experiment involving…

Statistics

The IPCC’s And McKitrick’s “Hiatus” Time Series Models

Several readers asked me to look at Ross McKitrick's paper "HAC-Robust Measurement of the Duration of a Trendless Subsample in a Global Climate Time Series", which is receiving the usual…

Statistics

Time Series And Causality: Global Warming Example

Temperature causes Here is an atmospheric monthly average temperature series: T = (61, 69, 69, 70, 72, 65, 63) (all F). What caused the temperature to take the value T1…

Statistics

Time Series Aren’t Easy: Tornado Deaths Example

Time series are the most abused statistics in the physical sciences. (It's an endless, raucous, peer-reviewed contest for the worst in the "soft sciences.") The Mann problem (is that a…

Statistics

How To Properly Handle Proxy Time Series Reconstructions

This is all made up data, so as not to hurt anybody's feelings. Also, this is a sketch. Everything can't be done in 700 words. We are interested in the…

Statistics

(Most) Everything Wrong With Time Series

It came out at my recent meeting that a compilation of everything wrong with time series was in order. A lot of this I've done before, and so, just as…

Rudolph Harrier on The Great Smoothing: Another Reason Not To Fear (or trust) AIMarch 10, 2026
I've started thinking of this as the "juice loosener problem" (after the Simpsons bit where Dr. Nick hawks an orange…
Cary D Cotterman on The Great Smoothing: Another Reason Not To Fear (or trust) AIMarch 10, 2026
After spending years in school doing my own writing, then decades in my profession busting my ass to write somewhere…
Uncle Mike on The Great Smoothing: Another Reason Not To Fear (or trust) AIMarch 10, 2026
AI isn't the entity smoothing the data. The alleged decline in Arctic sea ice was a key assertion in Algore's…
JH on A Synchronicity Or Coincidence? What Is Behind Curious Events?March 10, 2026
The definition of cause can vary, and each incident may have its causes or contributing factors. I see coincidences as…
JH on The Great Smoothing: Another Reason Not To Fear (or trust) AIMarch 10, 2026
AI can be ‘gullible’ because it takes all the information fed into its optimization or backpropagation system. In many tasks,…