Topic: Predictive Modeling

6 chapters across the catalog

Fat Leonard
Episode 1618 1:43:50 - 1:45:57

1618: Fat Leonard

General World Models and AI Behavioral Prediction

The concept of General World Models (GWMs) is being promoted as the next evolution of AI, moving beyond text to understand physical world interactions through video and audio. A simplified explanation compares the technology to a dog's ability to predict outcomes, such as finding treats or visiting a park, based on environmental data.

Trust Stamp
Episode 1267 2:51:01 - 2:53:32

1267: Trust Stamp

University of Washington COVID Model, Face Mask Projections

The Institute for Health Metrics and Evaluation (IHME) at the University of Washington has released a new model predicting 300,000 U.S. deaths by December. The model claims that 66,000 lives could be saved if 95% of the population wears face masks. The hosts dismiss the model as "influential bullcrap," questioning the scientific validity of such specific behavioral projections.

Meat Must Flow
Episode 1240 29:26 - 31:50

1240: Meat Must Flow

Hurricane Tracking Models, Climate Change Parallels

The proliferation of coronavirus models is compared to modern hurricane forecasting, where meteorologists now present dozens of different "tracks" rather than a single prediction. This shift is viewed as a way for experts to avoid responsibility by claiming "one of the models" was correct regardless of the outcome. The hosts suggest this methodology is also used in climate change discourse to maintain specific policy trajectories without accountability for accuracy.

Stunning
Episode 1228 25:23 - 27:13

1228: Stunning

Computer Modeling Reliability and C-SPAN Expert Lecture

A discussion on the inherent flaws of computer modeling references a past C-SPAN lecture by a modeling expert who warned against using such tools for social or environmental policy. The hosts argue that models used for both climate change and pandemic projections are frequently inaccurate and should not be used to drive public fear or policy decisions.

Kinetic Kill
Episode 872 1:06:24 - 1:10:09

872: Kinetic Kill

Professor Helmut Norpoth Predicts Trump Victory

Stony Brook University Professor Helmut Norpoth discusses his "Primary Model," which predicts a Donald Trump victory based on primary performance and historical cycles. Norpoth notes that the candidate who performs better in their party's primaries almost always wins the general election. He also mentions having placed a legal bet on his prediction through the Iowa Electronic Markets, standing apart from mainstream pollsters.

It's a Glitch!
Episode 658 2:51:56 - 2:55:05

658: It's a Glitch!

Global Warming Weather Models, Computer Model Accuracy

Oxford University scientists are developing a new model to link extreme weather events to man-made global warming within three days. The hosts express skepticism toward computer models, noting their inability to accurately predict short-term weather. They argue that these models are often tweaked to support specific climate change narratives.