Why Big Data Failed to Predict the U.S. Election

The transcript discusses two major data failures in the election: polling models missing key voter groups and turnout issues in the Clinton campaign. It highlights the role of secret and new Trump voters, and the impact of Reddit on voter engagement. The discussion also covers the limitations of data-driven marketing without a strong candidate message. The future of political campaigns may require more inspirational leadership rather than relying solely on data techniques.

What were the two main groups of voters that polling models failed to account for in the election?

• Independent voters and undecided voters

• Secret Trump voters and new Trump voters

• Young voters and elderly voters

• Urban voters and rural voters

What was a key issue with the Clinton campaign's data-driven turnout strategy?

• Insufficient funding for advertisements

• Lack of a compelling message and leader

• Ignoring rural areas

• Over-reliance on social media

How did Donald Trump supporters on Reddit differ from other users?

• They voted six times more often

• They posted fewer comments

• They were less engaged

• They were more likely to be undecided

What is suggested as a potential positive outcome of moving away from data-driven political strategies?

• More reliance on traditional media

• Higher campaign costs

• Increased voter apathy

• Candidates needing to inspire and develop believable plans

What does the discussion suggest about the future of political marketing?

• It will become more data-driven

• It will focus more on inspiring candidates

• It will ignore online platforms

• It will rely heavily on television ads