Decision Mechanics

Insight. Applied.

  • Services
    • Decision analysis
    • Big data analysis
    • Software development
  • Articles
  • Blog
  • Privacy
  • Hire us

Election polling errors blamed on bias

January 19, 2016 By editor

UK polling station sign

A report has concluded that the spectacular failure of pollsters to predict the result of the 2015 UK Parliamentary elections was largely due to

systematic over-representation of Labour voters and under-representation of Conservative voters

The report, compiled by a panel of academics and statisticians, was commissioned by the polling industry to determine why they had predicted a “photo-finish” in an election where Conservatives outpolled Labour by 36.9% to 30.4%—a crushing defeat for Labour that lead to the resignation of their leader.

Pollsters apparently used collection methods that were more likely to be used by young (Labour-leaning) voters than older (Conservative-leaning) voters. Frankly, not realising that online surveys are going to under-represent the over 70s is a shocking oversight.

While betting markets also under-estimated the extent of the win, they did better than the polling industry—without the expense.

Print Friendly, PDF & Email

Share this:

  • Email
  • Twitter
  • LinkedIn
  • Facebook

Filed Under: Data analysis, Data science Tagged With: betting, bias, polling, prediction market

Search

Subscribe to blog via e-mail

Subscribe via RSS

Recent posts

  • Accuracy vs precision
  • It’s not because we have insufficient data…
  • Large Language Models
  • Spreadsheet disasters
  • 10 ways to mislead with data visualization

Copyright © 2023 · Decision Mechanics Limited · info@decisionmechanics.com