Why did the U.S. election pollsters get it wrong again? Can political polling learn from the past?
When political polls fail to predict the exact outcome of an election, maybe they’re not wrong…maybe we are.
Bias impacts ALL of us, not just voters and consumers, but also pollsters, researchers, and decision makers.
Tony Jarvis reviews the seminal ARF/GreenBook Sponsored Forum on the implications of the learnings from the election polling for research.
Instead of moving towards passive/reactive listening options, let’s pivot towards a proactive relationship with the public.
GreenBook and the ARF discuss the ramifications of this election.
Donald Trump was a classic challenger brand. We love a challenger brand story. But, we usually remember the challenger brands that make it.
With three weeks to go, BrainJuicer is calling the presidential election – in favor of Hillary Clinton.
The 2016 election is unique in many ways and many folks far smarter than I have struggled to get a handle on it via traditional polling.
Analyzing the tweets of the main political players in the run up to 3 significant primaries.
Could there be situations in which some purposely predisposed informational bias is beneficial?
Pew Research Center announced this week it is upping its sample to 75% mobile. It’s time for commercial research to adapt as well.
Of the 21,897 unique links shared on #MRX last week, here are 10 of the most retweeted…
Elections for the ESOMAR Council are being held now. Here is a rundown of everybody that is running for positions on the Council.
This post provides a primer on presidential polls to explain what is happening, addressing questions such as “Why are there so many polls?”