David Coletto, Founder and CEO of Abacus Data, dives into the fascinating world of political polling. He discusses the historical evolution of polling and the challenges posed by new technologies and demographic shifts. Coletto highlights critical cases where polls faltered, like the 2016 U.S. election, and unpacks the significance of polling weighting for accuracy. He also explores how polls can sway public perception and electoral outcomes, emphasizing the complexities of predicting results in closely contested races.
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Quick takeaways
The evolution of polling methods from face-to-face interviews to online panels has introduced challenges in obtaining representative samples due to declining participation rates.
Polling inaccuracies, often caused by non-response bias among certain demographic groups, can significantly distort public sentiment and influence electoral outcomes.
Deep dives
The Evolution of Polling Methods
Polling has undergone significant changes since its inception in the 1930s, adapting to advancements in communication technology. Initially, pollsters conducted surveys face-to-face, but a shift toward telephone interviews marked a new era, which eventually transitioned to online methods. Nowadays, pollsters primarily recruit participants through online panels, as accessing individuals directly has become more challenging, leading to potential biases in surveys. This evolution highlights the difficulties pollsters face in obtaining a representative sample, as fewer people are willing to participate in polls, complicating the accuracy of the results.
Reasons for Polling Errors
Polling inaccuracies can often arise from non-response bias, where certain demographic groups either ignore survey requests or are less reachable, resulting in skewed data. In recent Saskatchewan elections, for example, polls underestimated support for the Saskatchewan Party among rural voters, who are less likely to participate in surveys compared to urban populations. This type of disparity can lead to significant miscalculations of public sentiment, especially in close races. Understanding which communities are underrepresented in polling data helps explain why certain groups may be overlooked, such as conservative voters in rural areas.
Impact and Influence of Polls on Voting Behavior
Polls can significantly shape public opinion and influence voting behavior by framing perceptions of candidate viability and party strength. Historical examples illustrate how polls have guided voters to back candidates perceived as having momentum, as seen in the 2011 Canadian federal election when rising support for the NDP prompted broader national interest. However, the integrity of these polls matters greatly; when inaccuracies occur, they can mislead the public and political discourse. Therefore, as political contexts change, it is crucial for pollsters to ensure their methods remain robust and reflective of actual voter sentiments.
With the U.S. election just a day away and a Canadian one that could be called very soon, we’re all spending a lot of time talking about polls.
But how exactly do they work and what happens when they get it wrong? Last week, Saskatchewan Premier Scott Moe won another majority government for the Saskatchewan Party despite some polls beforehand showing the NDP in the lead. And famously, the polls highly underestimated Donald Trump’s voter base in both 2016 and 2020.
So to better understand the ins and outs of the polling business and the challenges of adapting it to changing habits and politics, we’re talking to David Coletto, founder and CEO of Abacus Data.