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  • The Model Thinker

  • What You Need to Know to Make Data Work for You
  • By: Scott E. Page
  • Narrated by: Jamie Renell
  • Length: 15 hrs and 45 mins
  • 4.1 out of 5 stars (8 ratings)
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The Model Thinker

By: Scott E. Page
Narrated by: Jamie Renell
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Summary

Work with data like a pro using this guide that breaks down how to organize, apply, and most importantly, understand what you are analyzing in order to become a true data ninja.

From the stock market to genomics laboratories, census figures to marketing email blasts, we are awash with data. But as anyone who has ever opened up a spreadsheet packed with seemingly infinite lines of data knows, numbers aren't enough: we need to know how to make those numbers talk. In The Model Thinker, social scientist Scott E. Page shows us the mathematical, statistical, and computational models - from linear regression to random walks and far beyond - that can turn anyone into a genius. At the core of the book is Page's "many-model paradigm", which shows the listener how to apply multiple models to organize the data, leading to wiser choices, more accurate predictions, and more robust designs. The Model Thinker provides a toolkit for business people, students, scientists, pollsters, and bloggers to make them better, clearer thinkers, able to leverage data and information to their advantage.

PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.

©2018 Scott E. Page (P)2021 Hachette Audio

What listeners say about The Model Thinker

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Grasp the complexity

Author did a great job by presenting some great concepts that will help you understand the world around you in a more accurate way.

Also, a great performance by the narrator! A bit annoying that he reads P(x) as “P times x”, but otherwise its a pleasure to listen to him.

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  • Overall
    3 out of 5 stars
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    4 out of 5 stars

Book had some good ideas, let down by equations

The concepts are indeed interesting for anyone with a little science or math background. The narration was clearly spoken, however oftentimes was jarring, when it came to equations, and there are a lot of them. I found other narrators succumb to these same problems of not knowing how to read a mathematical equation. Example, any function or expression with parentheses (such as a logarithm or a probability) was described instead as a 'times'. And at the same time, superfluous words were used when describing equations, when a technically minded person would say something like "log two to-the n" the narrator would say "log base two times n". Subscripts were read incorrectly as "base." You could say that a book with equations just doesn't lend itself to audio. It might be better if an author first converted the equations into plaintext so that a narrator can read as the author intended. I might recommend if it weren't for the incorrect narration of equations.

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