Chapter
Misuse of Data in Freakonomics
34:02 - 40:41 (06:39)
The book Freakonomics is discussed as being data-driven, but it is criticized for not being more thorough in its approach and occasionally just being downright wrong. This is explored through examples given by one individual who took issue with it, including accusations of racism and weak evidence in the author's methodology.
Clips
This podcast discusses how studies show that people with "black-sounding" names are less likely to be hired for jobs.
34:02 - 35:56 (01:53)
Summary
This podcast discusses how studies show that people with "black-sounding" names are less likely to be hired for jobs. However, the studies fail to explain why individuals with such names are not called back for interviews.
ChapterMisuse of Data in Freakonomics
EpisodeFreakonomics
PodcastIf Books Could Kill
The author discusses how individuals with distinctively black names face worse life outcomes than those with more traditional names, but also emphasizes that it is not the fault of the name itself, rather the systemic racism embedded in society that results in unequal opportunities.
35:56 - 38:21 (02:24)
Summary
The author discusses how individuals with distinctively black names face worse life outcomes than those with more traditional names, but also emphasizes that it is not the fault of the name itself, rather the systemic racism embedded in society that results in unequal opportunities.
ChapterMisuse of Data in Freakonomics
EpisodeFreakonomics
PodcastIf Books Could Kill
In this podcast, Levitz critiques Freakonomics for misusing data and waltzing into pre-existing debates while pretending to solve them.
38:21 - 40:41 (02:20)
Summary
In this podcast, Levitz critiques Freakonomics for misusing data and waltzing into pre-existing debates while pretending to solve them. He also comments on the title "Freakonomics" and its implications.