The best brains: AI systems that predicted Trump's win


The shock of Donald Trump’s upset victory has begun to wear off. Now the search for answers begins. In particular: How in this age of big data collection and data-crunching analytics could so many , , and –even those by —have been going into election day?

Some got it right—Geda, the  from China, and Felix, a , for starters. A survey of Halloween  also predicted a Trump presidency, as did “” back in 2000. And there are a lot of Democratic strategists wishing they’d given more credence this past summer to of the political landscape, especially in the Rust Belt.

Looking for signs of intelligence

For those who like their predictions brewed with a dash more data, an developed by Indian startup successfully predicted not only the Democratic and Republican primaries, but each presidential election since 2004. To come up with its predictions, the MoglA system uses 20 million data points from online platforms such as Google, YouTube, and Twitter to gauge voter engagement.

MoglA found that Trump was topping Barack Obama’s online engagement numbers during the 2008 election by a margin of 25 percent—impressive even after factoring in the greater participation in social media today.


Artificial intelligence has advantages over more traditional data analysis programs. “While most algorithms suffer from programmers/developer’s biases, MoglA aims at learning from her environment, developing her own rules at the policy layer, and developing expert systems without discarding any data,” Rai said. His system could also be improved by more granular data, he told CNBC—for instance, if Google gave MoglA access to the unique internet addresses assigned to each digital device.

“If someone was searching for a YouTube video on how to vote, then looked for a video on how to vote for Trump, this could give the AI a good idea of the voter’s intention,” CNBC wrote. Given the amount of data available online, using social media to predict election results is likely to become increasingly popular.

 doesn’t rely on social media, poll results, or demographics to predict elections, but he has an even better track record than MoglA: Lichtman has correctly predicted every presidential election since 1984.

Using earthquake prediction methods that gauge stability vs. upheaval, Lichtman says he developed a set of 13 true/false statements that predict elections based on the performance of the party currently in the White House.

“There’s a real theory behind this. And the theory is presidential elections don’t work the way we think they do,” . “They’re not decided by the turns of the campaigns, the speeches, the debates, the fundraising. Rather, presidential elections are fundamentally referenda on the performance of the party holding the White House. If that performance is good enough, they get four more years. If it’s not, they’re turned out and the challenging party wins.”

Lichtman says his 13 keys (explained in more depth by the ) are a historically based system founded on the study of every presidential election from 1860 to 1980. His keys are simply ways of “mathematically and specifically” measuring the incumbent party’s performance based on the following factors:

  1. Party mandate
  2. Contest
  3. Incumbency
  4. Third party
  5. Short-term economy
  6. Long-term economy
  7. Policy change
  8. Social unrest
  9. Scandal
  10. Foreign/military success
  11. Foreign/military failure
  12. Incumbent charisma
  13. Challenger charisma

If six of his statements are false, Lichtman says, the incumbent party loses the presidency.

“Donald Trump’s severe and unprecedented problems bragging about sexual assault and then having 10 or more women coming out and saying, ‘Yes, that’s exactly what you did’—this is without precedent,” Lichtman pointed out in an with the Washington Post. But it didn’t change a key. By the narrowest of possible margins, the keys still point to a Trump victory.”

Here’s predicting that MoglA and Lichtman will be closely watched in the next election—in addition to Geda and Felix, of course.