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Summary of Tim Harford's The Data Detective
Summary of Tim Harford's The Data Detective
Summary of Tim Harford's The Data Detective
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Summary of Tim Harford's The Data Detective

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Get the Summary of Tim Harford's The Data Detective in 20 minutes. Please note: This is a summary & not the original book. Original book introduction: Today we think statistics are the enemy, numbers used to mislead and confuse us. That’s a mistake, Tim Harford says in The Data Detective. We shouldn’t be suspicious of statistics—we need to understand what they mean and how they can improve our lives: they are, at heart, human behavior seen through the prism of numbers and are often “the only way of grasping much of what is going on around us.” If we can toss aside our fears and learn to approach them clearly—understanding how our own preconceptions lead us astray—statistics can point to ways we can live better and work smarter.

LanguageEnglish
PublisherIRB Media
Release dateDec 9, 2021
ISBN9781669343417
Summary of Tim Harford's The Data Detective
Author

IRB Media

With IRB books, you can get the key takeaways and analysis of a book in 15 minutes. We read every chapter, identify the key takeaways and analyze them for your convenience.

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    Book preview

    Summary of Tim Harford's The Data Detective - IRB Media

    Insights on Tim Harford's The Data Detective

    Contents

    Insights from Chapter 1

    Insights from Chapter 2

    Insights from Chapter 3

    Insights from Chapter 4

    Insights from Chapter 5

    Insights from Chapter 6

    Insights from Chapter 7

    Insights from Chapter 8

    Insights from Chapter 9

    Insights from Chapter 10

    Insights from Chapter 11

    Insights from Chapter 12

    Insights from Chapter 1

    #1

    How to Lie with Statistics explains the ways in which statistics can be manipulated and used to deceive the public.

    #2

    Doll and Hill’s first study was on lung cancer and smoking, and it began on New Year’s Day 1948. Every time a patient arrived in a hospital with cancer, nurses would randomly select someone else in the same hospital of the same sex and about the same age.

    #3

    The statistics used to prove or disprove the safety of a drug or vaccine are based on the results of a study. The study itself can be based on a very small sample size, which makes it extremely hard to prove or disprove the claims.

    #4

    The current COVID-19 outbreak is the largest in history, with over 60,000 deaths. It is also the most complex, as it requires contact tracing to determine who has the virus and when they contracted it, as well as rapid testing to determine who is infected.

    #5

    We have to stop dismissing bad statistics out of hand. Bad statistics are a warning sign that something may be wrong with the data, not with the statistic itself.

    #6

    Statistics can be used to illuminate reality with clarity and honesty. To do that, you first

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