Parker Wiseman ran for student office in high school with photocopied flyers. He debated the public school system in social studies class. In college he took the courses and shook the hands that would help him join that peculiar Southern subculture of the embattled Mississippi Democrat, a pugnacious sort who plays darts and drinks whiskey while wearing penny loafers and forces smiles meant to fool no one. People close to Parker Wiseman were not surprised when, at the age of 28, he became the youngest mayor in Starkville history.

When I met him, he was deep into his second term, 34-years-old with bright blue eyes neatly obscured by thin-framed spectacles hugging a cleanly shaved head. I had to wait for the person before me to finish a meeting before I could take up time in his schedule, but when the door opened he traded off quickly and was all laughs and smirks as I unpacked my bag. In conversation, he moved between two poses, leaning forward with shoulders high and elbows planted wide so he could clasp his hands and focus when I was talking, and reclined in an unwound ease when he was answering, one arm propping him up so he could lean into the back the chair with his rear scooted to the forward edge of the seat and his feet as far apart as could be achieved with manners in dress slacks.

In this episode, science journalist Dave Levitan talks about his new book: Not a Scientist: How Politicians Mistake, Misrepresent, and Utterly Mangle Science.

In the book, Levitan takes us through 12 repeating patterns that politicians fall into when they talk about scientific research. Some are nefarious and intentional, some are based on ignorance, and some are just part of the normal business of politicians managing their public image or trying to appeal to their base. Not only do they often get the science wrong, they sometimes fail to communicate the nature of scientific inquiry and the goals of the scientific process itself.

Now that algorithms are everywhere, helping us to both run and make sense of the world, a strange question has emerged among artificial intelligence researchers: When is it ok to predict the future based on the past? When is it ok to be biased?

“I want a machine-learning algorithm to learn what tumors looked like in the past, and I want it to become biased toward selecting those kind of tumors in the future,” explains philosopher Shannon Vallor at Santa Clara University.  “But I don’t want a machine-learning algorithm to learn what successful engineers and doctors looked like in the past and then become biased toward selecting those kinds of people when sorting and ranking resumes.”

On this episode, journalist Kate Leaver talks about her new book, The Friendship Cure: Reconnecting in the Modern World, in which she explores the crippling, damaging, life-threatening impact of loneliness and the severe mental health costs of living a life disconnected from a support network of close contacts. But…as she explains in the episode, there is a cure…learning how to connect with others and curate better friendships.

In the interview we talk about loneliness, how to make friends, the difference between male and female friendship, platonic friendships, friends with benefits and lots, lots, more, including the Sardinian secret to a long life surrounded by friends, family, and lovable assholes.

In this episode, we sit down with psychologist Julia Shaw, an expert in memory and criminal psychology, to discuss her new book – Evil.

In the book, she makes a case for something she calls “evil empathy,” seeing people who do heinous things as fellow human beings instead of as monsters.

According to Shaw, othering criminals by categorizing them as a separate kind of human allows us to put them out of our minds and disappear them to institutions or prisons. The result is we become less-able to prevent the sort of behavior the harms others from happening again and again.

In fact, she says “there’s no such thing as evil,” and sees the term as an antiquated, magical label that dehumanizes others, preventing us from accumulating the sort of scientific evidence that could lead to a better society.

One of the most effective ways to change people’s minds is to put your argument into a narrative format — a story — but not just any story. The most persuasive narratives are those that transport us. Once departed from normal reality into the imagined world of a story, we become highly susceptible to belief and attitude change.

In this episode, you’ll learn from psychologist Melanie C. Green the four secrets to creating the most persuasive narratives possible.

In this episode we explore prevalence induced concept change with psychologist David Levari.

In a nutshell, when we set out to change the world by reducing examples of something we have deemed problematic, and we succeed, a host of psychological phenomena can mask our progress and make those problems seem intractable — as if we are only treading water when, in fact, we’ve created the change we set out to make.