Topic: Statistical Modeling

Statistical Modeling comes up in 4 chapters across 4 episodes of The No Agenda Show, from November 2012 to April 2022.

November 2012 April 2022

Related topics

COVID Retrospective
Episode 1439 • • 2:15:14 - 2:17:54

1439: COVID Retrospective

Professor Neil Ferguson, Imperial College Modeling Critique

A critique of Professor Neil Ferguson of Imperial College highlights his history of exaggerated death toll predictions for past outbreaks like bird flu, swine flu, and mad cow disease. Ferguson's models, which influenced the UK government's lockdown policy, were challenged by other scientists for containing serious errors. The report questions why mainstream media has not more rigorously scrutinized Ferguson's accuracy.

Noodle Nation
Episode 1250 • • 7:25 - 9:38

1250: Noodle Nation

Maria Van Kerkhove Clarifies Asymptomatic Transmission Comments

Maria Van Kerkhove issued a clarification regarding her previous comments, stating that her use of the word "rare" referred only to a small subset of studies rather than global transmission patterns. She provided statistical estimates suggesting that 6% to 41% of the population may be infected without showing symptoms. The clarification followed significant pushback from other health officials and media outlets.

Hookers on Sale
Episode 522 • • 14:10 - 19:49

522: Hookers on Sale

United Nations Syrian Death Toll Statistical Modeling

The United Nations reports a death toll of 93,000 in the Syrian conflict, a figure widely cited by the BBC. Investigation into the UN's 40-page document reveals the number is derived from statistical computer modeling and data from the Syrian Observatory for Human Rights, a one-man operation based in London.

Exactly Similar
Episode 459 • • 31:48 - 35:54

459: Exactly Similar

Nate Silver, UNIVAC Election Prediction Comparison

Nate Silver's 2012 election predictions are compared to the 1952 UNIVAC computer's landslide prediction for Eisenhower. Silver, writing for The New York Times, utilized a computer program designed four years prior to forecast a 75% chance of an Obama victory.

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