TUESDAY IS PUBLICATION DAY FOR THINKING IN BETS
This Tuesday, February 6, is Publication Day for Thinking in Bets: Making Smarter Decisions When You Don’t Have All the Facts (hardcover, Kindle, iBook, audiobook).
If you want to get a flavor of the book, you can hear me read the first two sections of Chapter 1. Penguin posted my narration of the first section, titled “Pete Carroll and the Monday Morning Quarterbacks.” Parade.com published an excerpt (with audio) of the second section of Chapter 1, titled “The Hazards of Resulting.”
Even if the release of Thinking in Bets weren’t imminent, I’d consider this an exciting time for books about decision-making and behavior. This week, Daniel Coyle’s The Culture Code: The Secrets of Highly Successful Groups came out. In less than a month – on the same day, February 27 – Nassim Taleb’s Skin in the Game: Hidden Asymmetries in Daily Life and Stephen Pinker’s Enlightenment Now: The Case for Reason, Science, Humanism, and Progress will be available.
Last week, I wrote a piece for Michael Smerconish’s (@Smerconish) site about the role of luck in income inequality. I described a computer simulation of a random game (which you can read about read in greater detail where I saw it here: DecisionScienceNews.com): 45 players get $45 each ($2,025 total) to start the game and on each round they give a dollar to another player on a random basis. Who gets money on any round is driven completely by luck, no skill involved. After running a simulation of the game for 5,000 rounds, the richest player ends up with over $200 or 10% of the total money), and the top three players (out of 45) end up with 25% of the money. I was pretty shocked by the result and I certainly wasn’t alone.
I sent the DecisionScienceNews.com article to my friend Sam Barnett. Sam recently earned his Ph.D. in neuroscience from Northwestern University while doing his day job as CEO of SBB Research Group. He was so intrigued by the result that, in his spare time, he programmed his own simulation of the game to dig a little deeper into the result.
- The first question he asked was, “What’s the likelihood of getting an ‘intuitive’ distribution, where the players end up with roughly equal amounts?” To answer this, he ran multiple 5,000-round trials and found that a result where 30 of the 45 players (who all started the game with $45) end with between $35 to $55 happens only once in a trillion simulations.
- The second question he asked was, “What happens if you increase the number of rounds in the game?” Surprisingly, he found that makes the inequality greater. When he ran a million-round trial and tracked the wealthiest player after each round, the difference between the starting amount ($45) and the player with the most money increased. “At one time, the wealthiest player throughout the 1 million rounds had $455 (22% of the total).”
- The last question he asked was, “Would the wealth gap be greater at the end of the game if players were allowed to take on debt?”According to Sam, “The answer is ‘definitely yes.’ The wealthiest player amasses $3,287 at one time in the simulation, and the poorest player (not necessarily at the same time) is $3,064 in debt, which would amount to a disparity of more than 3x the total cash in this simulated world.” The first lesson here is that our intuition is not particularly good when it comes to how the money will end up being distributed in this game, based solely on the luck of the draw. The second lesson, as I noted in the Smerconish.com article, is that the guy with the most money at the end of this game of luck would definitely write a book about his “strategy” for getting rich.
“DID I JUST SEE LAURA DERN IN A PET STORE?”
Last week, I tweeted an item from Mashable.com about the thousands of people who thought this dog resembled actress Laura Dern. (Dern even commented on the resemblance.)
The Mashable piece lays out nicely that the internet going mad for this Laura Dern look-alike actually tells us something quite deep about how we process the world. Evolution made us pattern recognizers because being really good at recognizing patterns helped us survive, particularly recognizing faces–most importantly, our mothers’ faces. Being hypersensitive to facial features allows us to distinguish friend from foe, love from threat. We’re going to see human faces all over the place because that’s how we’re wired.
If you want to see some more of this in action, check out the Twitter account @FacePics. Faces in mop heads, coffee stirrers, planters, cracks in the sidewalks, pies, tin-can lids.
We DON’T “beg to differ”
- “People experience discussing ‘divisive’ issues as threatening.”
- “People are less ready to express opinions which deviate from the perceived majority view online than offline, for fear of being judged.”
The two papers Degen cites paint a gloomy picture of online discourse. The first paper suggests that we find discussing divisive issues to be threatening, so we tend to avoid conversations where diverse viewpoints are clashing. The second paper is about how the online world amplifies the threat. If there’s anonymity, it’s a lot easier to get attacked for our viewpoint. If we want to express our contrary opinion in an online forum, it’s also more likely that the attack is going to come from a mob.
The result? We gravitate to content we expect will support what we already believe and are unlikely to speak up when we do disagree. That’s a bad combo for changing minds.
A BRILLIANT ANTIDOTE TO ECHO-CHAMBER MENTALITY!
Conversations with People Who Hate [Dylan Marron]
Dylan Marron (@DylanMarron) is a popular writer, performer, and video maker. Because he takes strong positions in his work on a number of public-policy issues, he reads some pretty nasty things about himself in the comments section. Last July, as he announced on YouTube, he turned those comments into a podcast, titled “Conversations with People Who Hate Me.”
I think this is a brilliant concept. He finds people who say awful things about him and invites them as guests on his podcast–not to call them out, or bully them, or say nasty things back but to have civil conversations with them about why they posted what they did, where they disagree, and where they have common ground. Whether you agree with Marron’s views on the issues or not, the podcast is a brilliant exercise in taking potentially unproductive, emotional, unsatisfying exchanges and turning them into something from which both sides can learn.