Career Successes Come in Clusters
In 1905, Albert Einstein was on a roll. Between March and June of that year—which scientists refer to as his annus mirabilis, or “miracle year”—the legendary physicist finished three different papers that would radically change how we think about space and time, and pave the way for quantum physics.
“And that’s not even getting into the summer,” marvels Dashun Wang, an associate professor of management and organizations at Kellogg.
To Wang, Einstein’s big year posed a puzzle. In a previous study looking at the careers of more than 10,000 scientists, Wang had found that the timing of a researcher’s most influential paper was completely random—it was equally likely to come at any given year in their career, be it the beginning, middle, or end. But the concept of a “miracle year” seemed to challenge that conclusion.
“What are the odds, if everything is random?” Wang wondered.
In a new paper, Wang investigates whether “hot-streak” periods like Einstein’s are more than just a lucky coincidence—in science, and in other fields as well. He teamed up with visiting student Lu Liu and Kellogg post-doctoral student Yang Wang, as well as Chaoming Song of the University of Miami, Roberta Sinatra of Central European University, and Lee Giles of Pennsylvania State University.
Looking at the career histories of thousands of scientists, artists, and film directors, the team found evidence that hot streaks are both real and ubiquitous, with virtually everyone experiencing one at some point in their career. While the timing of an individual’s greatest successes is indeed random, their top hits are highly likely to appear in close proximity.
And while more research is needed to determine what causes these bursts of genius, Wang says that the findings shed important new light on the patterns underlying success in all fields, and could be used to improve decisions about tenure, promotions, and hiring.
“If we know where your best work is, then we know very well where your second-best work is, and your third,” he says, “because they’re just around the corner.”
Pinpointing Hot Streaks
Wang nicknamed his earlier paper on the timing of scientific successes “the hope project.” By demonstrating that a scientist’s most-cited paper was equally likely to appear in any given year, his findings refuted the conventional wisdom that researchers in their 50s or 60s were past their prime. The only reason that early-career hits were more common, explains Wang, is because younger scientists tend to be more prolific. “So if you keep producing, maybe your biggest work is yet to come,” he says—hence, plenty of hope.
But what happens after that big hit? Wang could imagine two very different scenarios.
If the timing of every paper a scientist wrote was truly random, then “regression towards the mean” should set in—meaning their next paper was more likely to be average than spectacular.
On the other hand, there were logical reasons to think that one strong paper might beget another. “If I produced a good work, I feel like I learned the trick,” says Wang. “Now I feel like I’m equipped to do another work that’s just as good or even better.”
Working with Liu, a PhD student at Kellogg, Wang began to design an experiment. The idea: “Let’s not just focus on the biggest hit, but let’s also look at the second-biggest hit, and the third-biggest hit,” he explains. Their goal was to determine whether there was some kind of statistically meaningful pattern in the timing of one’s greatest achievements.
Using Google Scholar and Web of Science, Wang and Liu obtained data on research papers published by more than 20,000 scientists, which included the number of citations each paper received in its first ten years.
Then they decided to expand the analysis beyond academia. “We realized, ‘Gee, if this happens, it might be in all different kinds of careers,’” Wang says.
That idea was inspired by Alejandro González Iñárritu, the director of Birdman and The Revenant, explains Wang. “He won two Oscars back-to-back for best director. And that’s where I realized, this is not just scientists. This story’s much much bigger.”
So they collected data on the careers of artists and firm directors. To gauge success, they obtained the auction prices of artworks produced by 3,480 painters, sculptors, and other artists. And they combed film database IMDb for the career histories of 6,233 directors, using the IMDb ratings to approximate the success.
In 1905, Albert Einstein was on a roll. Between March and June of that year—which scientists refer to as his annus mirabilis, or “miracle year”—the legendary physicist finished three different papers that would radically change how we think about space and time, and pave the way for quantum physics.
“And that’s not even getting into the summer,” marvels Dashun Wang, an associate professor of management and organizations at Kellogg.
To Wang, Einstein’s big year posed a puzzle. In a previous study looking at the careers of more than 10,000 scientists, Wang had found that the timing of a researcher’s most influential paper was completely random—it was equally likely to come at any given year in their career, be it the beginning, middle, or end. But the concept of a “miracle year” seemed to challenge that conclusion.“What are the odds, if everything is random?” Wang wondered.
In a new paper, Wang investigates whether “hot-streak” periods like Einstein’s are more than just a lucky coincidence—in science, and in other fields as well. He teamed up with visiting student Lu Liu and Kellogg post-doctoral student Yang Wang, as well as Chaoming Song of the University of Miami, Roberta Sinatra of Central European University, and Lee Giles of Pennsylvania State University.
Looking at the career histories of thousands of scientists, artists, and film directors, the team found evidence that hot streaks are both real and ubiquitous, with virtually everyone experiencing one at some point in their career. While the timing of an individual’s greatest successes is indeed random, their top hits are highly likely to appear in close proximity.
And while more research is needed to determine what causes these bursts of genius, Wang says that the findings shed important new light on the patterns underlying success in all fields, and could be used to improve decisions about tenure, promotions, and hiring.
“If we know where your best work is, then we know very well where your second-best work is, and your third,” he says, “because they’re just around the corner.”
Pinpointing Hot Streaks
Wang nicknamed his earlier paper on the timing of scientific successes “the hope project.” By demonstrating that a scientist’s most-cited paper was equally likely to appear in any given year, his findings refuted the conventional wisdom that researchers in their 50s or 60s were past their prime. The only reason that early-career hits were more common, explains Wang, is because younger scientists tend to be more prolific. “So if you keep producing, maybe your biggest work is yet to come,” he says—hence, plenty of hope.
But what happens after that big hit? Wang could imagine two very different scenarios.
If the timing of every paper a scientist wrote was truly random, then “regression towards the mean” should set in—meaning their next paper was more likely to be average than spectacular.
On the other hand, there were logical reasons to think that one strong paper might beget another. “If I produced a good work, I feel like I learned the trick,” says Wang. “Now I feel like I’m equipped to do another work that’s just as good or even better.”
Working with Liu, a PhD student at Kellogg, Wang began to design an experiment. The idea: “Let’s not just focus on the biggest hit, but let’s also look at the second-biggest hit, and the third-biggest hit,” he explains. Their goal was to determine whether there was some kind of statistically meaningful pattern in the timing of one’s greatest achievements.
Using Google Scholar and Web of Science, Wang and Liu obtained data on research papers published by more than 20,000 scientists, which included the number of citations each paper received in its first ten years.
Then they decided to expand the analysis beyond academia. “We realized, ‘Gee, if this happens, it might be in all different kinds of careers,’” Wang says.
That idea was inspired by Alejandro González Iñárritu, the director of Birdman and The Revenant, explains Wang. “He won two Oscars back-to-back for best director. And that’s where I realized, this is not just scientists. This story’s much much bigger.”
So they collected data on the careers of artists and firm directors. To gauge success, they obtained the auction prices of artworks produced by 3,480 painters, sculptors, and other artists. And they combed film database IMDb for the career histories of 6,233 directors, using the IMDb ratings to approximate the success.
by Jake J. Smith, KellogInsight | Read more:
Image: Michael Meier
