Pardon the Arson
The Gist
Peach Fish Productions
4.5 • 3.7K Ratings
🗓️ 13 July 2018
⏱️ 27 minutes
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| 0:00.0 | The following content is explicit. |
| 0:02.2 | It's Friday, July 13, 2018. |
| 0:09.8 | From Slated to the Gist, I'm Mike Peska. |
| 0:11.8 | Study came out. |
| 0:12.8 | Really not a study more of an algorithm-based data correlation. |
| 0:18.6 | And what they did was they looked at consumer purchases and they found that what you bought |
| 0:25.3 | could help identify your ideology and even your race. |
| 0:30.2 | Here let me read from the Washington Post. |
| 0:32.4 | University of Chicago Booth School of Business Economists, Mary Ann Bertrand and Amir |
| 0:37.8 | Kemenika taught machines to guess a person's income, political ideology, race education, |
| 0:43.3 | and gender based on either their media habits, their consumer behavior, or their social |
| 0:48.4 | and political beliefs. |
| 0:49.4 | Now first of all, I like this researcher. |
| 0:51.3 | Amir Kemenika. |
| 0:53.0 | And I like him because his name is an anagram of Mike American and I strongly identify |
| 0:57.5 | with him. |
| 0:58.6 | But the ideas are interesting too. |
| 1:01.4 | So what you do is you have all this household data. |
| 1:05.1 | And if they know some of the things that you're buying or not buying, they have taught a computer |
| 1:09.5 | to correctly identify what race a person is. |
| 1:13.1 | And the notable thing is they've been doing this or they have the data for years and it's |
| 1:17.0 | getting easier and easier to correctly guess. |
... |
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