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Predicting Polling Failure Matt Singh Number Cruncher Politics @MattSingh_ | @NCPoliticsUK www.NCPolitics.UK

Where next for polling? Matt Singh presentation

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Predicting Polling Failure

Matt SinghNumber Cruncher Politics

@MattSingh_ | @NCPoliticsUK

www.NCPolitics.UK

Bio – Matt Singh• Background in Finance and economics• Started Number Cruncher Politics Sep 2014• Aim is to spread the understanding of polling

and elections to a wider audience

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1992 revisted• The reason for my instinctive skepticism• Polls pointed to a narrow Labour lead, but

result was a Conservative overall majority• Net error of 9 points

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2015 polls and results

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The spiral of silence• Observation: In phone polling, don’t knows

break for the party they voted for previously• In 1992, majority of supposedly undecided

voters had voted Conservative in 1987• This year, some polls found a similar pattern

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Divergence from fundamentals• “I can find no example of a party losing an

election when it is ahead on both leadership and economic competence”

– Peter Kellner, YouGov President, April 2014

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Current thinking – what it’s not• Late swing• Herding• Sabotage

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Current thinking – turnout?• Likelihood to vote questions implied a turnout

of over 90% in some cases• Actual turnout was 66%• No shows may have been unrepresentative• Evidence of people lying about having voted

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Current thinking – wrong answers?• Evidence of people lying about having voted• Might they also lie about how they voted?• Some inconsistencies in answers

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Current thinking – sample imbalance?• Some unexplained patterns in microdata…

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Using polling – house effects• Systematic difference between pollsters’

results owing to methodological differences• Can be interpreted as the difference two

pollsters would get in identical conditions

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Using polling – don’t know, do care• Some people answer, but many don’t• Don’t knows can vary substantially between

pollsters• Don’t knows can be heavily biased

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Using polling – past voting behaviour• Gives a breakdown of what different parties’

voters think• Allows a cross check on sample reliability• Can be used for weighting

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