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by lostinquebec
1802 days ago
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The election wins of Trump, Boris Johnson, Brexit and The Liberals in Australia show that data collection really matters. Similarly the financial crisis of 2009 shows that missing data can really matter. That's the key point of the quote: > There's something wrong with the way you are measuring it |
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FiveThirtyEight predicted a 28.6% chance of a Trump victory: https://projects.fivethirtyeight.com/2016-election-forecast/ This is a number far greater than zero - it is, for comparison, more likely than flipping two coins and them both coming up heads, or drawing a random card from a deck and having it be diamonds.
Opinion polling of the 2019 Conservative Party leadership election showed Boris Johnson favored to win: https://en.wikipedia.org/wiki/Opinion_polling_for_the_2019_C...
Opinion polling on Brexit showed that it clearly could have gone either way, with a narrow margin between the two options: https://en.wikipedia.org/wiki/Opinion_polling_for_the_United...
I'm less familiar with Australian politics, but assuming you mean the 2013 election, opinion polls showed the Liberals were clearly in the lead: https://en.wikipedia.org/wiki/Opinion_polling_for_the_2013_A...
If people look at data that says "28.6% chance of winning" and they choose to read it as "0% chance of winning," that's not a problem with the way anyone's measuring anything, that's a problem with people trying to treat data as if it's an anecdote.