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Graduated in 1980 from Harvard in Physics. Phi Beta Kappa. David McCord Prize.
Since the 2010s, I have guest lectured occasionally in the physics department at Harvard
Since the late 1990s, I have been keenly interested in the developing disinformation campaign often known as "climate science." I read extensively in this area.
In recent years, I have taken an interest in investigating so-called "AI" software, and the planned total take-over of public discourse by the big tech companies and their co-conspirators in our current government.
00:00 Introduction and Guest Background
01:32 Guest's Journey into Climate Science
03:11 Discussion on Climate Change and Artificial Intelligence
04:51 Understanding the Concept of Lies in Climate Science
07:29 The Controversial Hockey Stick Graph
10:13 The Misuse of Climate Models
14:26 The Fallacy of Consensus in Climate Science
15:41 The Dangers of Advocacy Journalism
16:54 The Misinterpretation of IPCC Publications
21:14 The Misleading 97% Consensus Claim
52:50 Debunking Climate Change Myths
54:05 The Misconception of Climate Science
55:04 The Fallacy of Consensus Climate Science
55:59 The Truth about the IPCC
57:03 The Reality of Climate Science Degrees
59:39 The Truth about Climate Change Funding
01:01:14 The Corruption of Peer Review
01:04:58 The Lies of Climate Models
01:07:53 The Impact of Urban Heat Island Effect
01:15:00 The Truth about Large Language Models
01:33:11 Understanding the Concept of Temperature
01:33:39 Exploring the Functionality of AI
01:34:05 Discussion on Satellite Measurements
01:34:31 Debunking Misconceptions about Thermometers
01:35:15 Unveiling the Truth about Human Read Thermometers
01:37:27 The Reality of AI Learning
01:39:17 Exposing the Deception in AI Responses
01:42:20 The Impact of AI on Climate Change Discussions
01:48:55 The Truth about Wildfires and Climate Change
01:57:49 Concluding Remarks on AI and Climate Change
Slides for this podcast: https://tomn.substack.com/p/on-climate-science-lies-damned-lies
Bio: https://jonathancohler.com/cohlerbio.php
Cohler’s Linktree: https://linktr.ee/cohler
David Shapiro’s channel (YouTuber mentioned by Jonathan in this podcast): https://www.youtube.com/@DaveShap
By Jonathan Cohler, Andy May, and Willie Soon: Can Google Bard AI Lie?
https://wattsupwiththat.com/2023/10/07/can-google-bard-ai-lie/
=========
AI summaries of all of my podcasts: https://tomn.substack.com/p/podcast-summaries
About Tom Nelson:
https://linktr.ee/tomanelson1
AI summaries of all of my podcasts: https://tomn.substack.com/p/podcast-summaries
YouTube: https://www.youtube.com/playlist?list=PL89cj_OtPeenLkWMmdwcT8Dt0DGMb8RGR
Twitter: https://twitter.com/tan123
Substack: https://tomn.substack.com/
About Tom: https://tomn.substack.com/about
4.8
3030 ratings
Graduated in 1980 from Harvard in Physics. Phi Beta Kappa. David McCord Prize.
Since the 2010s, I have guest lectured occasionally in the physics department at Harvard
Since the late 1990s, I have been keenly interested in the developing disinformation campaign often known as "climate science." I read extensively in this area.
In recent years, I have taken an interest in investigating so-called "AI" software, and the planned total take-over of public discourse by the big tech companies and their co-conspirators in our current government.
00:00 Introduction and Guest Background
01:32 Guest's Journey into Climate Science
03:11 Discussion on Climate Change and Artificial Intelligence
04:51 Understanding the Concept of Lies in Climate Science
07:29 The Controversial Hockey Stick Graph
10:13 The Misuse of Climate Models
14:26 The Fallacy of Consensus in Climate Science
15:41 The Dangers of Advocacy Journalism
16:54 The Misinterpretation of IPCC Publications
21:14 The Misleading 97% Consensus Claim
52:50 Debunking Climate Change Myths
54:05 The Misconception of Climate Science
55:04 The Fallacy of Consensus Climate Science
55:59 The Truth about the IPCC
57:03 The Reality of Climate Science Degrees
59:39 The Truth about Climate Change Funding
01:01:14 The Corruption of Peer Review
01:04:58 The Lies of Climate Models
01:07:53 The Impact of Urban Heat Island Effect
01:15:00 The Truth about Large Language Models
01:33:11 Understanding the Concept of Temperature
01:33:39 Exploring the Functionality of AI
01:34:05 Discussion on Satellite Measurements
01:34:31 Debunking Misconceptions about Thermometers
01:35:15 Unveiling the Truth about Human Read Thermometers
01:37:27 The Reality of AI Learning
01:39:17 Exposing the Deception in AI Responses
01:42:20 The Impact of AI on Climate Change Discussions
01:48:55 The Truth about Wildfires and Climate Change
01:57:49 Concluding Remarks on AI and Climate Change
Slides for this podcast: https://tomn.substack.com/p/on-climate-science-lies-damned-lies
Bio: https://jonathancohler.com/cohlerbio.php
Cohler’s Linktree: https://linktr.ee/cohler
David Shapiro’s channel (YouTuber mentioned by Jonathan in this podcast): https://www.youtube.com/@DaveShap
By Jonathan Cohler, Andy May, and Willie Soon: Can Google Bard AI Lie?
https://wattsupwiththat.com/2023/10/07/can-google-bard-ai-lie/
=========
AI summaries of all of my podcasts: https://tomn.substack.com/p/podcast-summaries
About Tom Nelson:
https://linktr.ee/tomanelson1
AI summaries of all of my podcasts: https://tomn.substack.com/p/podcast-summaries
YouTube: https://www.youtube.com/playlist?list=PL89cj_OtPeenLkWMmdwcT8Dt0DGMb8RGR
Twitter: https://twitter.com/tan123
Substack: https://tomn.substack.com/
About Tom: https://tomn.substack.com/about
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