Teachers like Hillary, and other voting trends hiding in SameGrain's data - Technical.ly Baltimore


Mar. 3, 2016 8:17 am

Teachers like Hillary, and other voting trends hiding in SameGrain’s data

The social matching app knows which professions profess which politics.

"Favorites & Fears." One way SameGrain helps make matches.

(Screenshot via Vimeo)

When social media platform SameGrain launched last year, founder Anne Balduzzi talked about the importance of the algorithm that facilitates the matchmaking that happens between users.

This year, the startup is using the app to make data correlations about the key questions of our time. Take the much-measured presidential election, for instance.

From a total of 6.4 million answers to questions on the app, SameGrain found connections between profession and voting intentions.

See the data

The answers to who users were voting for showed that voters for Hillary Clinton are three times more likely to be teachers, and four times less likely to be police officers, according to SameGrain. Donald Trump also had the highest support from any profession, with construction pros firmly in the real estate mogul’s corner.

From there, SameGrain made correlations about specific professions:

  • Republicans who answered showed a high percentage of law enforcement, military and public safety.
  • Democrats were more likely to be in entertainment, government and nonprofits.

And with SameGrain’s questions, there are also more random correlations to make. For instance, users who said they vote Democrat were 30 percent more likely to admit that they cry during sad movies than Republican users.

Stephen Babcock

Stephen Babcock is the lead reporter for Technical.ly Baltimore. A graduate of Northeastern University, he moved to Baltimore following a stint in New Orleans, where he served as managing editor of online news and culture publication NOLA Defender. While there, he also wrote for NOLA.com/The Times-Picayune. He was previously a reporter for the Rio Grande Sun of Northern New Mexico.


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