538's Awards for Best and Worst Data Stories of 2016

[BillTre]

Link
awards:
Statistical Fortitude
Best Use of Data to Speak Truth to Power
"Word of the Year" of the Year
Trudeau Prize for Governance
The Barest Minimum of Progress Achieved
Boldest Sacking of Experienced Humans in Favor of Untested Algorithm
The "Are We Still Doing This for Willful Misinterpretation of Government Statistics
Prescient Data of the Year
The Volkswagon Prize for Insidious Data Manipulation
Ashley Madison Memorial User Data Leak of the Year
Significant Digit of the Year
FiveThirtyEight Person of the Year

 

[phinds]

Seems like they forgot to give themselves an award for "worst prediction of the presidential election outcome".

 

[Vanadium 50]

It's not like they didn't have a lot of company on that.

 

[phinds]

It's not like they didn't have a lot of company on that.

True

 

[dkotschessaa]

Seems like they forgot to give themselves an award for "worst prediction of the presidential election outcome".

538? There's was far from the worst.

 

[Ygggdrasil]

Seems like they forgot to give themselves an award for "worst prediction of the presidential election outcome".

Of all the major prediction sites, Fivethirtyeight gave Trump the highest probability of winning (~30%) (https://www.buzzfeed.com/jsvine/2016-election-forecast-grades?utm_term=.ptOkdDd4Xx#.km7PV7VxlD), so much so that other media sites were making fun of them for emphasizing the uncertainty of the outcome (http://theconcourse.deadspin.com/i-think-nate-silver-is-broken-maybe-1787096019).

If you want to make fun of someone, you should choose Sam Wang of the Princeton Election Consortium who predicted a 99% probability of a Clinton victory and promised to eat a bug on national television if Trump won (he delivered: http://www.cnn.com/videos/politics/2016/11/12/pollster-eats-bug-after-trump-win-smerconish.cnn)

 

[dkotschessaa]

Of all the major prediction sites, Fivethirtyeight gave Trump the highest probability of winning (~30%)

Correct. Nate also laid out plenty of scenarios for Trump's (then potential) path to victory and plenty of stern warnings about being too sure of anything.

A lot of people failed to understand that 30% didn't mean 0%.

-Dave K

 

[BillTre]

30% chance is the same as a .300 hitter getting a hit.

I've eaten various kinds of bugs before.

 

[mheslep]

Of all the major prediction sites, Fivethirtyeight gave Trump the highest probability of winning (~30%) (https://www.buzzfeed.com/jsvine/2016-election-forecast-grades?utm_term=.ptOkdDd4Xx#.km7PV7VxlD), so much so that other media sites were making fun of them for emphasizing the uncertainty of the outcome (http://theconcourse.deadspin.com/i-think-nate-silver-is-broken-maybe-1787096019)...

That 30% call was the highest 538 share given to Trump. Most of the time they predicted far lower. See Rasmussen for polling closest to the outcome.
http://www.rasmussenreports.com/pub...n_2016/election_2016_white_house_watch_trends

 

[Ygggdrasil]

That 30% call was the highest 538 share given to Trump. Most of the time they predicted far lower.

Wrong, the Fivethirtyeight polls-only model had Trump up at 50% at the end of July. https://projects.fivethirtyeight.com/2016-election-forecast/

Over the long term, the average probability of a Trump win was probably only slightly lower than the 30% number on election day, in the 25-30% range.

See Rasmussen for polling closest to the outcome.
http://www.rasmussenreports.com/pub...n_2016/election_2016_white_house_watch_trends

The site you provide gives national poll numbers from a polling firm (which is the raw data sites like Fivethirtyeight et al. use in their models). Calculating a probability of electoral college victory from the poll numbers requires additional modeling.

 

[mheslep]

Wrong, the Fivethirtyeight polls-only model had Trump up at 50% at the end of July. https://projects.fivethirtyeight.com/2016-election-forecast/

Well that was the nomination bump.

Over the long term, the average probability of a Trump win was probably only slightly lower than the 30% number on election day, in the 25-30% range.

Yes, my mistake, as you say. I was familiar with 538 low predictions (~12%) in most of Oct, but missed the late September Trump surge.