590 - How to THINK like an Innovator with Matt Ridley

The James Altucher Show

James Altucher

Society & Culture, Talk Radio, Writer, Philosophy, Comedy, Chess, How To, Entrepreneurship, Jay, James, The James Altucher Show, Altucher, Author, Jay Yow, Education, Jay The Engineer, Business, James Altucher

4.6 • 2.7K Ratings

🗓️ 21 May 2020

⏱️ 68 minutes

🔗️ Recording | iTunes | RSS

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Summary

I promise this episode will make you smarter. I've wanted Matt Ridely on the podcast my whole life. He's a major influence on my brain. Every time I read his books, I physically feel my IQ increase. His new book is “How Innovation Works: And Why It Flourishes in Freedom." And I'm already on my third read of it. Here's a break down of what we talk about: How to think like an innovator Why you don't need pre-approved credentials to have an attention-worthy point of view How to develop evidence that backs your outlook in life How to overcome credentials bias How to overcome confirmation bias How to measure if your point of view and create new arguments The difference between scientists and innovators Who's qualified to predict the future and who ISN'T And more that will help you think critically, strategically and innovatively I write about all my podcasts! Check out the full post and learn what I learned at jamesaltucher.com/podcast. Thanks so much for listening! If you like this episode, please subscribe to “The James Altucher Show” and rate and review wherever you get your podcasts: Apple Podcasts Stitcher iHeart Radio Spotify Follow me on Social Media: YouTube Twitter Facebook

Transcript

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0:00.0	This isn't your average business podcast and he's not your average host.
0:06.6	This is the James Altiger Show.
0:12.6	Today on the James Altiger Show.
0:15.8	I don't know if you call it credential bias or what, but this idea that some people are
0:19.9	experts when in fact, what we're calling the experts are the scientists and not necessarily
0:25.9	the inventors.
0:27.0	We see this with this recent pandemic that, oh, we need to trust the mathematical models
0:31.7	of the experts and it turns out every single one of those models is wrong, but still every
0:36.4	step of the way people say, I think I'm going to leave this to the experts.
0:39.8	Like there's sort of shut down if you are an un credentialed skeptic.
0:44.6	I think, well, first of all, you have to understand that science and technology involves disagreement.
0:49.9	You're going to have different people with different ideas about how to interpret data
0:53.2	and what the data says, et cetera, et cetera.
0:55.4	And where you get truth is from the clash between ideas.
0:58.9	That's one important thing.
1:00.4	But the second thing is, yes, of course, there is such a thing as expertise.
1:04.7	I'm not here to say I want my bridge that I drive over, built by five-year-olds.
1:11.6	The fact that the bridge doesn't fall down is because someone has expertise.
1:16.2	But that doesn't mean that there is such a thing as an expert on the future.
1:22.1	And I think this is the really important distinction that one needs to make.
1:27.0	And this is where we're getting into trouble with the modeling of the epidemic at the moment,
1:30.4	is we're supposing that there are people who are experts at forecasting.
	...

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