Freakonomics Radio - 455. Are You Ready for a Fresh Start?

Episode Date: March 18, 2021

Behavioral scientists have been exploring if — and when — a psychological reset can lead to lasting change. We survey evidence from the London Underground, Major League Baseball, and New Year’s ...resolutions; we look at accidental fresh starts, forced fresh starts, and fresh starts that backfire. And we wonder: will the pandemic’s end provide the biggest fresh start ever?

Transcript
Discussion (0)
Starting point is 00:00:00 I know a lot of people were particularly excited about January 1 of this year. I got extra emails about, oh, thank goodness, it's finally 2021. I'm so excited. That's Katie Milkman. I'm a professor at the Wharton School, and I'm also the author of the book, How to Change. And I'm the co-director of the Behavior Change for Good Initiative with Angela Duckworth. As a behavior change specialist, Milkman sees January 1st as something of a high holy day. Every year, roughly half of all Americans make a New Year's resolution to break some
Starting point is 00:00:38 habit, fix some flaw, pick up some new activity. At the top of these wish lists, and yes, I am calling them wish lists, you'll see why later, at the top are eating better, drinking less, exercising more. We asked Freakonomics Radio listeners to tell us their resolutions for this year. Some of you set the bar pretty low. My New Year's resolution is to give myself a freaking break. I realized I haven't been showering enough. So I made a New Year's resolution to shower every 36 hours and so far so good.
Starting point is 00:01:14 Visiting the tide pools. That's it. That's the only New Year's resolution that I set. And I figured it'd be really awesome if it happened and also totally okay if it didn't. And some of you were more ambitious. My New Year's resolution was to read 25 books. So far, I'm on target. Last year, my New Year's resolution was to stop drinking during the week.
Starting point is 00:01:36 And that was a complete failure. I made a resolution to try one new food every week because I used to be an incredibly picky eater. Hi there, Freakonomics. My one resolution in 2021 is that at least four days every month, I do not drive my car, nor do I hail any kind of rideshare or taxi or anything. It's my little way to try and reduce my fossil fuel consumption. Why is January 1st the day that we burden with so much hope, so much resolve? That's a fresh start. It's the big fresh start. But there are others, too, it turns out.
Starting point is 00:02:11 So it could be a birthday, the start of a new week even, or the start of a new month. There are other things that start cycles, like going to a new job or having a child or moving to a new community. All of these things are fresh starts and give us that same sense that we have a new beginning, a new chapter opening in our lives. Katie Milkman and some colleagues have named this motivation the fresh start effect. She says that fresh starts can shift our psychology in at least two ways. The first? They feel like new beginnings. So they give us a sense that anything that preceded them, that was the old me, this is the new me. And so we can wipe that slate clean.
Starting point is 00:02:51 And the second shift? They make us step back and think big picture about our lives and our goals because they're sort of disruptive. It's like this different moment. You're entering a new era. Did the phrase, the fresh fresh start effect really not exist? It really didn't. All we had to do was add effect to this very catchy,
Starting point is 00:03:09 well-known phrase, and it became like we had invented something brilliant anew. Humans have indeed long been captivated by the notion of the fresh start. Think about the book of Genesis and the story of Joseph. Joseph's older brothers are so jealous of him and his fancy coat of many colors that first they toss him in a pit and later sell him into slavery. But ultimately, he gets a fresh start in Egypt, where none less than Pharaoh makes Joseph his advisor, his oracle. During the Enlightenment, the fresh start idea was given a philosophical boost when John Locke argued that each person begins life with a tabula rasa, what we think
Starting point is 00:03:53 of today as a blank slate. And in the modern era, just think of all the literature and film where the protagonist sheds their skin, their identity, even their family. America itself was one big fresh start for a bunch of disgruntled Europeans, and it remains so today for people from every continent and every level of gruntlement. But in academia, as Katie Milkman found, the fresh start concept hadn't received all that much attention. It feels really important and real. Like, of course it's real. To me, those are the most exciting things to study as a social scientist because you know it's big.
Starting point is 00:04:33 And it just hasn't been understood fully yet. And we were like, let's probe it. Let's see how we can use it. Let's really make sense of what are the moments that are fresh starts? What do they look like? What are their characteristics? How can we help people use them more? Today on Freakonomics Radio, the promise and limits of the fresh start effect. This is all a mind game. We hear about an accidental fresh start.
Starting point is 00:04:55 I actually flew over here with a view to changing the visa and ended up being trapped by their travel ban. An unwanted fresh start. It's almost like your mom and dad saying, hey, by the way, we don't want you anymore. You're going to go live with the Smiths. And fresh starts that spoil fast. This is Freakonomics Radio, the podcast that explores the hidden side of everything. Here's your host, Stephen Dubner. Last week on episode 454, we looked into why the traffic roundabout, which is known to be safer than an intersection with traffic lights, is relatively uncommon in the U.S. One convincing theory was that many people are simply averse to change.
Starting point is 00:05:55 They're naturally suspicious of anything that's a bit different. Indeed, there is a large body of research showing that aversion to change is real and large. And yet, humans, being the funny animals we are, we also want change, sometimes desperately. At least that's what you'd conclude when you think about New Year's resolutions and the zeal with which so many people make them. So how successful are New Year's resolutions? A recent study by a University of Stockholm psychologist named Per Carlbring, along with three co-authors, found that 55% of these resolutions essentially worked. That sounds amazing. So I'm going to be a grouch about it. That, again, is Katie Milkman, whose research on the fresh start effect is cited approvingly in this new study.
Starting point is 00:06:45 So the study is correlational. It's also, you know, based on self-report. That is, the study wasn't a randomized or controlled experiment. Most every study that is done to see how many people achieve their New Year's resolutions is based on self-report. It's really hard to get objective data on this unless you're, you know, stalking people in some incredibly bizarre way. But also, Milkman's own experience tells her that a 55% success rate for New Year's resolutions is just incredibly high. It's out of whack with any other study I've ever heard of. It's possible they recruited a really unusual sample, but it's also possible that there was something about the way they were asking the questions that led people to report success when they weren't really achieving it. You can ask the same question very different ways, like, are you still working on your goal?
Starting point is 00:07:33 We reached out to Per Carlbring for some clarification. He told us that his research sample was indeed unusual, that it wasn't random, that he'd recruited volunteers who were, on average, more motivated to make a change. He also said that the way he posed his question, you did not have to be 100% successful. As long as you are moving in the right direction, he said, that is enough to be counted as a success. So yes, that 55% success rate isn't what you might objectively consider success. To Katie Milkman's point, other studies trying to measure New Year's resolutions have shown a success rate as low as 8%. To her, that is closer to the reality. So it's a funny thing.
Starting point is 00:08:19 In general, goal pursuit mostly ends in failure. Tell me about it. Yeah. I'm always a little defensive when people say, oh, why should we even bother pursuing our goals? Most of it ends in failure because obviously you can't really get anywhere if you don't try. As they like to say, you miss 100% of the shots you never take. You got it. So we're pretty confident that it is a beneficial thing to have more people going for it. Going for it, meaning pursuing goals that require behavior change and using whatever tools are available, like the Fresh Start, to accomplish those goals. Milkman and her colleagues published their first research on the Fresh Start effect in 2014.
Starting point is 00:09:02 The data came from Google search results. So if you just grab a data set, like when people search for the term diet on Google, you see a natural tendency to create goals more at these fresh start moments, meaning the beginning of a new year, birthdays, the start of a new week or a new month. They also ran some experiments. It turns out if you just point out to someone, hey, did you notice March 20th is the first day of spring? That all of a sudden increases their likelihood of wanting to start pursuing a goal on that date. But they also found, as shown by
Starting point is 00:09:36 New Year's resolutions, that a fresh start is only a start. It is by no means a guarantee that the new behavior will stick. It's not a one and done solution. You don by no means a guarantee that the new behavior will stick. It's not a one-and-done solution. You don't just need a little more motivation. There's all these obstacles to change, and we need a set of tools that tackle all of them, not just that momentary motivation if we want to change daily decisions. But what about situations where a behavior doesn't have to be repeated, like enrolling in a retirement savings program. We teamed up with several universities that wanted to encourage their employees who weren't yet saving for retirement to save more. Milkman and her team sent out mailers to more than 8,000 people, randomly dividing them
Starting point is 00:10:18 into two treatment groups. So imagine there was Stephen Dubner 1 and Stephen Dubner 2 in our study, and you're identical twins with the same name except for 1 and 2. Dr. Seuss named me, plainly. So Stephen Dubner 1 is randomly assigned to the control group. He gets a mailing inviting him to start saving either now or in three months. And let's say Stephen Dubner 2's birthday and Stephen 1's birthday both happen to be in three months. Stephen Dubner 2 gets randomly assigned to the fresh start condition. He's invited not to start saving now or in three months, but to start saving now or after his next birthday.
Starting point is 00:10:55 Now, it's an identical offer, but in one case, it's highlighting the moment that might feel appropriate for saving. The researchers also sprinkled in a few placebo dates throughout the sample, like Martin Luther King Jr. Day and Valentine's Day. We found that the dates that really worked were birthdays and the beginning of spring, whereas the other dates we looked at, actually New Year's didn't have a big effect, which was surprising. We would have expected it to. And then, of course, as you would expect, the placebo dates, nothing happening there. Milkman was convinced that the fresh start effect is substantial enough that it can transcend the calendar, that it can be manipulated to suit one's needs.
Starting point is 00:11:36 This is all a mind game. So certainly if you want to, you can remind yourself every Monday, you know, every time there's a holiday, it's a new beginning. This is one of the things that's made the coronavirus era so hard, which is that the way we lead our lives, they're really constructed to give us opportunities to restart all the time. It feels like we're all living this very long week that started in March of 2020. Is the average Monday more powerful than the average first of the month, even though there are four times or five times as many Mondays? That's my sense. The day of the week effect seems stronger.
Starting point is 00:12:13 Like, we all notice the weekends. They're really different. Not less during coronavirus than other times, but there's some distinction that's very real between the weekends and the week. Monday, you haven't been at your desk in a while, hopefully, if you had a good weekend and you managed to set everything aside. That juice runs out a little bit by the 17th Zoom call of the week. But I feel excited at the beginning of a week. One thing I've observed is how often a new location can trigger a fresh start. Like if you rent a little house for a family vacation
Starting point is 00:12:45 and there's a chair in the corner and a bunch of books on the shelf, I will spend days reading books I'd never think about reading at home. Why? Your routines have been broken. Also, these aren't the same old books you have at home. The novelty is inspiring. Isn't that why so many of us love to travel? It exposes you to new experiences, new people, new ways to see the world and think about your place in it. Travel is a constant barrage of fresh starts. That's why travel can also be disorienting, even overwhelming. This past year, we have all taken a disorienting and unscheduled trip to the land of COVID-19. So what will our collective return feel like? Just think about how many fresh starts we'll be looking at. New relationships, new jobs, new living circumstances.
Starting point is 00:13:40 You've got all the goodies in there, right? You've got the new environment and the psychological break. What we know is that when people move and their circumstances change, their environments change, their social circles change, it gives them an opportunity to change along with those things. And if they want to take advantage of that opportunity and structure their lives in a way that will facilitate better outcomes, they're better set up to do that when you move because you haven't built routines,
Starting point is 00:14:06 you haven't built bad habits. This made me want to talk to someone who has moved several times for his work to three continents. Stephen, Andy Byford here. How are you? Andy, how are you? Good to hear from you, my friend.
Starting point is 00:14:22 I'm really well, thank you. Andy Byford is one of the world's best-known public transit officials. A few years ago, he worked on an overhaul of the New York City subway system. Before that, Toronto, and previously, Sydney, Australia. Certainly, I'm used to fresh starts. I find it invigorating. I don't want to flit around, but I've enjoyed the diversity of the various cities I've lived in. Byford grew up in Plymouth, England, the son of a transit worker, and he began his career as a station foreman in London.
Starting point is 00:14:53 Each job I've gone to, there's been a little bit of me that's developed. Someone described me the other day as a veteran, and you never think of yourself as a veteran. You think, hang on a minute, this has been 32 years now, three continents. Maybe I'm a veteran. With his accumulated expertise, Byford became the person that people call when their entire system needs a fresh start. Obviously, you have to learn a whole new system. You have to learn the new personalities, the politics, the detail, if you will, of that system.
Starting point is 00:15:25 But I don't really see that as a downside. It keeps you focused. It energizes you. He uses that fresh start to persuade the powers that be that the reason their transport system needs an overhaul is because they've been underfunding maintenance and innovation and that they need to find a big pot of money right away. You have to develop, create, write, and present a compelling case as to what could be different and what could be better were you to have adequate funding. So let's take some examples. New York City Transit is a classic example.
Starting point is 00:15:58 I could have gone there and held the fort. I could have turned up and, you know, made marginal improvements, a few tweaks here and there. But I felt that New Yorkers deserve better than that. The year before Byford arrived in New York City, 2017, was a banner year for subway awfulness. The governor of New York State, Andrew Cuomo, was Byford's ultimate boss. He had declared a state of emergency at the MTA, the Metropolitan Transportation Authority. Andy Byford put together a rehab plan called Fast Forward with a price tag of $40 billion. He was able to sell the plan and secure the funding. The subway rehab quickly got underway.
Starting point is 00:16:40 When Byford got to New York, the subway's on-time performance was 58%. Under him, it rose to 80%. He became a folk hero. His nickname? Train Daddy. Train Daddy stickers began showing up around the city. The whole Train Daddy thing was amusing. It appeared from nowhere, and suddenly there was that associated fuss that went with the moniker. If there's one thing politicians dislike, and this seems especially true for New York politicians,
Starting point is 00:17:10 including Governor Cuomo, it is when their subordinates become too popular. Andy Byford began to find himself excluded from certain meetings. His parent agency, the MTA, underwent a sudden reorganization. As a result of the reorganization, my job was basically cut in half. It wasn't the job that I was brought into New York to do. The modernization of the subway system was no longer part of Andy Byford's portfolio. He had been downsized to running the day-to-day operations.
Starting point is 00:17:41 Even what was left, the residual element, namely of running the day-to-day operations. Even what was left, the residual element, namely of running the day-to-day, I found that I was being excluded from key decisions. I was finding that other people were taking what I felt were operational decisions, and that was an untenable position. Byford had loved this New York job. He and his wife loved living in New York. But train daddy had had enough. I chose to resign. It was my choice, though. I could have stayed. Byford's resignation landed in January 2020, just as a certain pernicious virus was starting to circulate the globe. Once the true horror of COVID emerged, I did feel somewhat guilty because had I known what was only a couple of months away,
Starting point is 00:18:31 I may still have resigned, but I would think I would have put it in abeyance because I felt desperately sad for the wonderful 50,000 employees of New York City Transit who've borne a terrible price for COVID. As a leader, I would like to have been there to at least lead them through it, even if the end result would have been that ultimately I'd have still gone. But Byford had quit, and he didn't know what he was going to do next. He and his wife did plan to stay in New York, but first he had to fly home to England. I actually came over from New York to change my visa and ended up being trapped by their travel ban. So the COVID shutdown had Byford stuck in England and his wife in New York. Sitting in my home in Plymouth, it struck me that this was a golden opportunity to do my bit for Britain, to do my bit for London, to throw my hat in the ring.
Starting point is 00:19:20 That's right. At the very moment that the former New York City transit chief happened to be detained in his native country, a vacancy had arisen for the commissioner's post at the massive agency known as the tube or the underground, but the entire transport system, above ground trains and ferries, roads and buses, even bicycles and pedestrians. It was a COVID induced fresh start for Byford in a system that will need to make its own COVID induced fresh start. Bus ridership at the moment is around 40 percent, the tube around 20% of normal levels. At one point, the tube was 5% of its normal ridership, levels not seen since Victorian times. And it's hard to predict what ridership levels will return to and when. We've modeled five scenarios ranging from a doomsday scenario, where pretty much the ridership never recovers, through to probably an overly optimistic one where we get back to normal
Starting point is 00:20:25 within a couple of months of lockdown ending. I don't think either of those are likely, but something in the middle ground where maybe we get to 90% of ridership in the medium term, that's more likely. Byford is choosing to look at this moment as an opportunity. One of my mantras in life is there's always opportunity in adversity. And I'd certainly say that's the case for the pandemic, because you can take the opportunity to reflect upon the way you've always done things. Reflecting on the way you've always done things is, as Katie Milkman explained earlier, one of the key benefits of a fresh start.
Starting point is 00:21:02 And one of the most interesting pieces of fresh start evidence happens to come from the very same London Underground that Andy Byford now runs. In 2014, there was a two-day transit strike that shut down some stations across the London subway system. Many commuters had their normal routes disrupted. You could look at this as simply a temporary inconvenience, or you could look at it as a forced fresh start, especially if you were an economist in search of a research project. So my name is Ferdinand Rauch. I'm an economist at Oxford University. When the strike was over, Rauch and some colleagues gathered data that showed how commuters had adjusted their routes. The researchers could see what share of commuters responded to this forced experiment by changing their behavior and sticking with the new route.
Starting point is 00:21:56 About 5% of commuters in the London system changed their behavior if confronted with forced experimentation. Or as Katie Milkman puts it, About 5% of commuters found something new in that two-day experiment that was better for them, and they stuck to it thereafter. So it might be a more pleasant walk, or there might be a convenient shop along the way that you discover when you take a different route. Could be that the stations are more pleasant to wait in. So it could be all sorts of things that make one commute better than another one.
Starting point is 00:22:40 So the fresh start provided by a two-day interruption of their routine led a significant share of commuters, 5%, to try something that they wound up liking better and sticking with, even though they hadn't sought out the change. The COVID shutdown has been a change that none of us sought out. So you do have to wonder what sort of old habits we have broken or new ones we formed. Our habits are tested very rigorously by COVID. We have to question most things we do. We have to do many things differently. If the general theme of our paper is correct, that people are stuck in habits excessively, then COVID has lasted for so long now that people could just be that that people are stuck in habits excessively, then COVID has lasted for so long now that people could just be that they're now stuck in a new habit. I changed my exercise routines around this pandemic because my schedule changed. Now my child care situation changed. I wasn't going to the office. But the new habits I've built aren't going to be consistent
Starting point is 00:23:22 with and compatible with going back to my old routines. So I'm going to need to create a new exercise habit. And that means I need to sort of start again in creating that routine. And that's tricky. Coming up after the break, a more systematic approach to behavior change. And when should you avoid a fresh start? It's coming up right after this. Katie Milkman has a joint PhD in computer science and business. But what she really studies is behavior change. How to make bad habits less attractive and good habits a bit stickier. That's much easier said than done.
Starting point is 00:24:07 And when it comes to behavior change, theory doesn't always predict reality. We had this theory that the best way to help people build lasting habits would be if we got them into a really stable routine. So if we could convince you like every day at the same time to go to the gym, we said, if we basically pay you enough to do it at the same time consistently over and over again for a month, we're going to see this skyrocket in terms of habit formation. So we ran this test. We paid some people to be really routine, like really the same time every day. And other people we paid to be less routine, if you will. And we were sure the routine folks, when we let go and watch what happened, they would rise.
Starting point is 00:24:48 But what she and her fellow researchers actually saw? It was the opposite. The people who we paid to be flexible and to do things at different times, they built more lasting habits. And I think fresh starts are like that too. Like, life is a mess. So we need to have flexibility. And there's all these little tricks, like trying to train habits that have fallback plans, trying to, life is not a mess for everyone. And there are some people for whom routine is not only desirable, but they're really good at it. And they have discipline that doesn't require them to have these fresh starts. If I'm, let's say, a military officer listening to you, I say, well, okay, you sound like you're trying to fix a problem that I've fixed in a different way by actually having routine and discipline where I am able to accomplish the goals I need to without relying on some mental trickery.
Starting point is 00:25:52 So is what you're describing really universal and really generalizable? Or is it more for the kind of people who tend toward a certain kind of messiness in your phraseology. I actually think the most successful people use all these tricks. So that's why they're successful, you're saying? Yeah, I've yet to meet the perfect person like this military officer of whom you speak. I feel like I interact with a lot of really, really successful, incredible people between my students at the Wharton School and my colleagues and the people I've had the opportunity to work with at companies on
Starting point is 00:26:28 research projects. And they're all a mess, you're saying? Well, they're achieving a lot, but we all have struggles. There's nobody who isn't suffering from self-control issues or forgetfulness. And at some level, the more you achieve, the more you need to get everything right because the margin for error is smaller. But yeah, I don't think there's a lot of people who have everything figured out. Everybody's striving to be better on some dimension. There's also the fact that once you have established a good habit or routine, nowhere is it written that you are entitled to its everlasting continuation. We'd done this big intervention to try to get people to exercise more regularly,
Starting point is 00:27:13 and we had this very positive effect, and it got wiped away at Thanksgiving break. So students had this disruption to their schedules, and they went home, the gym was closed, they came back, and all the benefits were washed away. Milkman and her colleagues already knew that a fresh start can have a positive effect, but this Thanksgiving lapse got them to see a flip side. We were really interested in the idea that disruptions could sometimes be negative. We were also really interested in the idea of resets. I study a type of fresh start that I call reset.
Starting point is 00:27:43 That is Hengchen Dai, a former student of Katie Milkman's. Dai now teaches at UCLA's Anderson School of Management, where she studies motivation. She first started exploring the reset idea in a series of lab experiments. Participants would play a game in which they would be interrupted at the midpoint. At this interruption, some participants had their score reset to zero. Others would keep their score running. Dai wanted to know whether a reset affected overall performance, and if so, whether there was a difference if before the reset, the participant was doing well in the game or doing poorly. In other words, what's the fresh
Starting point is 00:28:26 start effect look like if you're succeeding? And what's it look like if you're struggling? Her lab results were interesting enough that she wanted to analyze the reset effect in the real world. She went looking for a real world scenario that mirrored the lab game she'd been running, and she found it in Major League Baseball. This might lead you to assume that Di is a big baseball fan. I basically know nothing about baseball. I often joke to my friends that life is too short to watch baseball. But baseball had a quirk that was perfect for what Di wanted to know about resets. So Major League Baseball consists of two leagues,
Starting point is 00:29:06 the American League and the National League. Quite routinely, players are traded during the season. And when a player is traded across leagues during the regular season, his season-to-date statistics are reset. So for example, say a player had a season-to-date batting average right before trades as 275. A 275 batting average is pretty good, above the league average. Anything in the neighborhood of 300 is considered excellent. So let's say that 275 hitter is traded from a team in the American League, like the Boston Red Sox, to a team in the National League,
Starting point is 00:29:45 like the Chicago Cubs. If he's traded across leagues, his batting average will start from zero. So that is a reset. But, and here is the quirk that made baseball the perfect real-world setting for Heng Chen Dai's study, if that same 275 batter is traded from one American League team to another American League team or from one National League team to another National League team, his batting average doesn't get reset. Voila, a perfect natural experiment to test the power of the reset. With a lot of data, Dai looked at about 700 trades from 1975 to 2014, covering 250,000 individual at-bats. Now, there were a lot of factors Dai had to consider.
Starting point is 00:30:36 For instance, if a player happened to be doing very well when they were traded and did worse after or vice versa? I think some people, when listening to this episode, will naturally think, wait, wouldn't just be regression to the mean, right? And that's why it's critical for me to have a control condition, to look at people who are also traded but within the same league. Regression to the mean wasn't the only thing Dai had to control for. For instance? Maybe it's just easier to get a high betting average once you're traded because now you often play in ballparks that are favorable to batters.
Starting point is 00:31:11 Right. Some ballparks are considered hitters' parks, while others favor pitchers. And you play half your games in your home park, so you have to control for that. And also, People may be wondering, OK, batters traded across leagues may face pitchers whom they have not encountered, right? And in contrast, the batters traded within the same league may continue to bat against the same set of pitchers. So what I did is
Starting point is 00:31:37 I tried to capture batter-pitcher familiarity by controlling for the number of times a batter encountered a given pitcher up to a given at-bat during his career. As you can tell, Peng Chen Dai learned quite a bit about baseball for someone who finds that life is too short to watch it. What else did she have to control for? So one potential concern is people were treated to teams with different qualities, potentials, and performance, right? So to address
Starting point is 00:32:05 this possibility, each time where a player come at a bet, I control for the performance of the team at that time the player was at. And specifically, I control for the percentage of games the player's team had won up to that date, as well as the team's betting average up to that date. She also controlled for the difference in moving from the American League to the National League versus from the National League to the American League. And finally, Dai controlled for the date of the trade, the point in the season at which it took place. If I'm traded at a later point, I may have a different reaction to reset, and I want to make sure this is not driving my effect. So with all those bases
Starting point is 00:32:46 covered, Dai ran her analysis across all those trades, all those years, all those at-bats, and what'd she find? So I find that when a player's performance is weak, more precisely, their betting average prior to the trade is low, a reset is helpful. Their performance after the trade is significantly better if they are traded across leagues than if they are traded within the same league. In other words, for players who had not been playing well, a trade with a batting average reset provided a fresh start that lifted their fortunes. And what about players who had been playing well before they were traded? So their performance actually reduced after they were traded, both when they are traded across leagues or when they are traded in the winning league.
Starting point is 00:33:35 So for players who were doing well when they were traded, the reset proved to be a negative, more of an interruption than a fresh start. One example Dye points to in her data is Manny Ramirez, one of the best hitters in the modern era. He played for five teams over nearly two decades. Dye points to the 2010 trade that brought him from the Los Angeles Dodgers of the National League to the Chicago White Sox of the American League, and a newspaper article published at the time. And I quote the article. It says, I think in the case of Manny, age is a factor.
Starting point is 00:34:20 That's Bob Tewksbury. He also, I believe, gets suspended because of performance-enhancing drugs. And I think he spent his time away or whatever the penalty was and then came back. Tewksbury is a former big league pitcher himself. I personally don't think that that's a great person to focus on in this because of its variables. Now, just because one player has a few extra variables to consider doesn't mean that Hengchen Dai's findings don't hold up. But the case of Manny Ramirez does show how tricky it can be to measure behavior change at the individual level.
Starting point is 00:34:58 In baseball, as in life, one change may be accompanied by many more. But Bob Tewksbury does believe that Hengchen Dai's research, in general, has the ring of truth. After his pitching career, Tewksbury became a mental skills coach, and he has worked for a variety of teams. If you're below the league average and you get traded, I think psychologically you're having a bad year and you're thinking like, oh my god, I'm going to end up hitting 230 this year. But then you get traded and you go, hey, I can start over again. And it's fresh. And now you get out of the gate and you're three for your first 10
Starting point is 00:35:37 and you're hitting 300. And psychologically, you feel better. And conversely, when you get traded across leagues and you're batting 300 in one league, the psychological effect is, now I've 100 games, playing for six teams over more than a decade. He had the experience of being traded from his first team, the New York Yankees. I was with my now wife. It was the all-star break of 87. She had come to visit me, and we went to the Catskills, and the bellman at the hotel told me that I'd been traded. You know, there was no cell phones. It was the radio. He told me. And I'm like, holy cow. And it is a blow. Almost like, you know, your mom and dad saying, hey, by the way, we don't want you anymore. You're going to go live with the Smiths. The trade sent Tewksbury to the Chicago Cubs. And they didn't know me from Adam.
Starting point is 00:36:42 I actually was hurt shortly after I got there, so I didn't perform well. And then the perception of, you know, we traded for this guy. The innuendos, the body language, the nonverbals, you know, you don't feel comfortable. You're learning a new city and a new everything. So that move from New York to Chicago was not good, but the move from Chicago to St. Louis was wonderful. That move was a year later. Tewksbury, by now a free agent, chose to sign with the St. Louis Cardinals. You know, I felt comfortable. The organization was very family-friendly. I met some friends that, you know, we played together for a long time, and that became very fun.
Starting point is 00:37:24 My son was born in St. Louis. I had my best seasons there, and I think a lot of it was because of the comfort level of playing in St. Louis and the people in the city and in the organization. It'd be hard for any Fresh Start data set to reflect the variables that Bob Tewksbury is talking about here. Not just a new team, but a new community, a new environment, a growing family. So it's probably not the reset alone that messes with your psyche. Any number of things could make a fresh start a good one or a bad one. There is another sport, which Tewksbury is also fond of, that may be a bit simpler to consider.
Starting point is 00:38:02 Golf. The golfers all live at home. They're not on a particular team. They travel to the tournaments. The golf courses don't change. You know, the hole is still the same size when you get to the green. And there's one particularly intriguing fresh start possibility in professional golf. Most of the best players on the PGA Tour are in their 20s and 30s. It is mostly a young man's game. But at age 50, there is a reset possibility. That's when you can qualify for the PGA's Senior Tour. And if you look at what happens to golfers as they turn 50 and join that tour, some of them win tournaments right away. Most recent examples being Jim Furyk and Phil Mickelson. Now, granted,
Starting point is 00:38:43 they are both still good enough to play on the regular PGA Tour, and the senior courses are easier. But if I were an academic researcher looking for another scenario to test the fresh start effect, I'd be thinking about golfers and the age 50 reset. I think that would be a good study on age and performance. At the very least, Katie Milkman thinks there is one idea from golf that should carry over into real life. It's the mulligan, a free do-over shot. I think we should all take a mulligan for 2020 and probably the first half of 2021. Yes, it's a mess. You know, when you're stressed out and dealing with horrible things happening in the world, it's really hard to stay on track with your goals. So I think, yeah, everybody should cut themselves some slack and jump on the fresh start bandwagon when things
Starting point is 00:39:35 start looking up. When you are ready, feel free to take inspiration from these Freakonomics Radio listeners and their New Year's resolutions. My resolution is to stay off of Facebook. My New Year's resolution is to not do any personal online shopping. My 2021 New Year's resolution is to be more stoic. This year, my resolution is to avoid saying no when friends or family invite me to spend time with them. My New Year's resolution is to get my kids to spend a thousand hours outside and to be with them doing that. I'm 76 years old, and I've never made a New Year's resolution until now. I pledge to compose and perform a short melody, less than a minute, for every day of 2021,
Starting point is 00:40:27 and post it on Instagram, but honestly, it might have been easier to give up on the booze. Thanks to everyone who sent in resolutions. Thanks also to Katie Milkman, Heng Chen Dai, Andy Byford, Ferdinand Rauch, and Bob Tewksbury for teaching us all about fresh starts. We will be back next week. Until then, take care of yourself and if you can, someone else too.
Starting point is 00:40:59 Freakonomics Radio is produced by Stitcher and Renbud Radio. We can be reached at radio at freakonomics.com. This episode was produced by Stitcher and Renbud Radio. We can be reached at radio at Freakonomics.com. This episode was produced by Zach Lipinski. Our staff also includes Allison Craiglow, Mark McCluskey, Greg Rippin, Mary DeDuke,
Starting point is 00:41:13 Matt Hickey, and Emma Terrell. We had help this week from Jasmine Klinger. Our theme song is Mr. Fortune by The Hitchhikers. All the other music was composed by Luis Guerra. The complete archive of Freakonomics Radio, more than 400 episodes, is now available on all podcast apps for zero dollars. And you can also hear it on many NPR stations across the country. As always, thanks for listening.
Starting point is 00:41:39 Can I just say hi to all the New Yorkers out there? I love you guys. I love being in that city. It's a place very dear to my heart and I'll be back.

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