Independents often are portrayed as political free agents with the potential to alleviate the nation’s partisan divisions. The reality is that most independents are not all that “independent” politically. An overwhelming majority of independents (81%) continue to “lean” toward either the Republican Party or the Democratic Party. Among the public overall, 17% are Democratic-leaning independents, while 13% lean toward the Republican Party.
All major advertising networks, such as Google and Facebook, have a non-discrimination policy. While only advertisers in regulated industries, such as housing, employment, and credit services, are required to certify compliance with non-discrimination policies, an internal non-discrimination audit is a good business practice.
In every field of knowledge, half of what is true today will be overturned, replaced, or refined at some point, and it turns out that we actually know when that will be for many things. In this episode, listen as author and scientist Sam Arbesman explains how understanding the half-life of facts can lead to better lives, institutions, and, of course, better science.
As the pace and magnitude of cyberattacks have increased around the world, a Pew Research Center survey in 26 countries among 27,612 respondents shows that people in multiple countries think it is likely that future hacks will target government data, public infrastructure, and elections. Opinion is mixed, however, on whether their nations are prepared for such events. In many cases, views about a country’s preparedness are shaped in part by partisanship and attitudes toward the party in power. People who support the governing party are often more likely to think their nation can handle a sizeable cyber hack.
Over the past 50 years – from the Silent Generation’s young adulthood to that of Millennials today – the United States has undergone various cultural and societal shifts. Now that the youngest Millennials are in their 20s, Pew Research Center has done a comprehensive update of their prior demographic work on generations. Millennials are better educated – a factor tied to employment and financial well-being – but there is a sharp divide between the economic fortunes of those who have a college education and those who don’t.
A new Pew Research Center survey finds that most Americans (73%) say colleges and universities should not consider race or ethnicity when making decisions about student admissions. Just 7% say race should be a major factor in college admissions, while 19% say it should be a minor factor. While majorities across racial and ethnic groups agree that race should not be a factor in college admissions, white adults are particularly likely to hold this view: 78% say this, compared with 65% of Hispanics, 62% of blacks and 59% of Asians.
In this episode, David McRaney sits down with psychologist Michele Gelfand and discuss her new book: Rule Makers, Rule Breakers: How Tight and Loose Cultures Wire Our World. In the book, Gelfand presents her research into norms and a fascinating new idea. It isn’t norms themselves that predict how cultures will react, evolve, innovate, and clash -- but how different cultures value those and sanction people who violate them. She categorizes all human cultures into two kinds -- tight and loose -- and argues that all human behavior depends on whether a person lives in a tight culture or a loose one.
All the data in the world will not lead to business growth if you can not mine it successfully for insights. What that takes is smart data analysis — and the right approach and tools to carry it off. To succeed in today’s challenging and competitive environment, marketers must break down the silos across departments, teams, and channels to consolidate data and see a unified view of the audience. By bringing data together, businesses are better able to understand and respond to their audience needs — and that leads to growth.
Algorithms are all around us, using stores of data and complex analytics to make decisions with often significant impacts on humans – from choosing the content people see on social media to judging whether a person is a good credit risk or job candidate. Here are some of the key findings from recent research by the Pew Research Center.