Hot streaks in artistic, cultural, and scientific careers

The hot streak—loosely defined as ‘winning begets more winnings’—highlights a specific period during which an individual’s performance is substantially better than his or her typical performance. Although hot streaks have been widely debated in sports1,2, gambling3–5 and financial markets6,7 over the past several decades, little is known about whether they apply to individual careers. Here, building on rich literature on the lifecycle of creativity8–22, we collected large-scale career histories of individual artists, film directors and scientists, tracing the artworks, films and scientific publications they produced. We find that, across all three domains, hit works within a career show a high degree of temporal regularity, with each career being characterized by bursts of high-impact works occurring in sequence. We demonstrate that these observations can be explained by a simple hot-streak model, allowing us to probe quantitatively the hot streak phenomenon governing individual careers. We find this phenomemon to be remarkably universal across diverse domains: hot streaks are ubiquitous yet usually unique across different careers. The hot streak emerges randomly within an individual’s sequence of works, is temporally localized, and is not associated with any detectable change in productivity. We show that, because works produced during hot streaks garner substantially more impact, the uncovered hot streaks fundamentally drive the collective impact of an individual, and ignoring this leads us to systematically overestimate or underestimate the future impact of a career. These results not only deepen our quantitative understanding of patterns that govern individual ingenuity and success, but also may have implications for identifying and nurturing individuals whose work will have lasting impact.The career trajectories of around 30,000 artists, film directors and scientists show that individuals in each domain have ‘hot streaks’ during which their works have increased impact, despite showing no increase in productivity.

[1]  Woo-Sung Jung,et al.  Quantitative and empirical demonstration of the Matthew effect in a study of career longevity , 2008, Proceedings of the National Academy of Sciences.

[2]  C. Lee Giles,et al.  Disambiguating authors in academic publications using random forests , 2009, JCDL '09.

[3]  Marcelo Mendoza,et al.  The research space: using career paths to predict the evolution of the research output of individuals, institutions, and nations , 2016, Scientometrics.

[4]  David W. Galenson Introduction to Old Masters and Young Geniuses: The Two Life Cycles of Artistic Creativity , 2006 .

[5]  Filippo Radicchi,et al.  The Possible Role of Resource Requirements and Academic Career-Choice Risk on Gender Differences in Publication Rate and Impact , 2012, PloS one.

[6]  J. Miller,et al.  A Cold Shower for the Hot Hand Fallacy , 2014 .

[7]  Benjamin F. Jones,et al.  Atypical Combinations and Scientific Impact , 2013, Science.

[8]  Derek de Solla Price,et al.  A general theory of bibliometric and other cumulative advantage processes , 1976, J. Am. Soc. Inf. Sci..

[9]  S. Parsons,et al.  The hot hand fallacy re-examined: new evidence from the English Premier League , 2015 .

[10]  M. Sales-Pardo,et al.  Effectiveness of Journal Ranking Schemes as a Tool for Locating Information , 2008, PloS one.

[11]  Claudio Castellano,et al.  Universality of citation distributions: Toward an objective measure of scientific impact , 2008, Proceedings of the National Academy of Sciences.

[12]  Daniel B. Larremore,et al.  Systematic inequality and hierarchy in faculty hiring networks , 2015, Science Advances.

[13]  W. Dennis,et al.  Creative productivity between the ages of 20 and 80 years. , 1966, Journal of gerontology.

[14]  Olof Rosenqvist,et al.  Confidence enhanced performance? – The causal effects of success on future performance in professional golf tournaments , 2015 .

[15]  S. Redner,et al.  Random Walk Picture of Basketball Scoring , 2011, 1109.2825.

[16]  Adam Sanjurjo,et al.  Surprised by the Gambler's and Hot Hand Fallacies? A Truth in the Law of Small Numbers , 2016 .

[17]  J. Magnus,et al.  Are Points in Tennis Independent and Identically Distributed? Evidence From a Dynamic Binary Panel Data Model , 2001 .

[18]  M. Heinemann The Matthew Effect , 2016, Thoracic and Cardiovascular Surgeon.

[19]  Harry Eugene Stanley,et al.  Reputation and impact in academic careers , 2013, Proceedings of the National Academy of Sciences.

[20]  Gur Yaari,et al.  The Hot (Invisible?) Hand: Can Time Sequence Patterns of Success/Failure in Sports Be Modeled as Repeated Random Independent Trials? , 2011, PloS one.

[21]  David W. Galenson,et al.  Pricing Genius: The Market Evaluation of Innovation , 2015 .

[22]  R. Merton The Matthew Effect in Science , 1968, Science.

[23]  Andrew Bocskocsky,et al.  The Hot Hand : A New Approach to an Old “ Fallacy ” , 2014 .

[24]  Jim Albert Streaky Hitting in Baseball , 2008 .

[25]  D. Kahneman,et al.  Aspects of Investor Psychology , 1998 .

[26]  Dean Keith Simonton,et al.  Scientific Genius: A Psychology of Science , 1988 .

[27]  C. N. Morris,et al.  A Statistical Analysis of Hitting Streaks in Baseball: Comment , 1993 .

[28]  Jeroen Derwall,et al.  'Hot Hands' in Bond Funds , 2007 .

[29]  B. Malkiel Returns from Investing in Equity Mutual Funds 1971 to 1991 , 1995 .

[30]  Albert,et al.  Emergence of scaling in random networks , 1999, Science.

[31]  R. Merton The Matthew Effect in Science, II: Cumulative Advantage and the Symbolism of Intellectual Property , 1988, Isis.

[32]  Jonathan J. Koehler,et al.  The 'Hot Hand' Myth in Professional Basketball , 2003 .

[33]  D. Simonton,et al.  Age and outstanding achievement: what do we know after a century of research? , 1988, Psychological bulletin.

[34]  J. Slaughter,et al.  Examining creative performance over time using hierarchical linear modeling: An illustration using film directors , 1999 .

[35]  Dean Keith Simonton,et al.  Creative productivity: A predictive and explanatory model of career trajectories and landmarks. , 1997 .

[36]  Richard J. Zeckhauser,et al.  Hot Hands in Mutual Funds: Short‐Run Persistence of Relative Performance, 1974–1988 , 1993 .

[37]  Daniel M. Oppenheimer,et al.  From a fixation on sports to an exploration of mechanism: The past, present, and future of hot hand research , 2006 .

[38]  An T. Oskarsson,et al.  What’s Next? Judging Sequences of Binary Events , 2008, Psychological bulletin.

[39]  A. Tversky,et al.  The hot hand in basketball: On the misperception of random sequences , 1985, Cognitive Psychology.

[40]  Gerd Gigerenzer,et al.  The hot hand exists in volleyball and is used for allocation decisions. , 2012, Journal of experimental psychology. Applied.

[41]  David W. Galenson Old Masters and Young Geniuses , 2011 .

[42]  Daniel B. Larremore,et al.  The misleading narrative of the canonical faculty productivity trajectory , 2016, Proceedings of the National Academy of Sciences.

[43]  Brett Green,et al.  The Hot-Hand Fallacy: Cognitive Mistakes or Equilibrium Adjustments? Evidence from Major League Baseball , 2017, Manag. Sci..

[44]  Claudio Castellano,et al.  Analysis of bibliometric indicators for individual scholars in a large data set , 2013, Scientometrics.

[45]  Benjamin F. Jones,et al.  Supporting Online Material Materials and Methods Figs. S1 to S3 References the Increasing Dominance of Teams in Production of Knowledge , 2022 .

[46]  Hongbin Wang,et al.  Gambler’s fallacy, hot hand belief, and the time of patterns , 2010, Judgment and Decision Making.

[47]  Sheridan Titman,et al.  On Persistence in Mutual Fund Performance , 1997 .

[48]  M. Bar-eli,et al.  Twenty years of “hot hand” research: Review and critique , 2006 .

[49]  Gary Smith,et al.  Horseshoe pitchers’ hot hands , 2003, Psychonomic bulletin & review.

[50]  Peter Ayton,et al.  The hot hand fallacy and the gambler’s fallacy: Two faces of subjective randomness? , 2004, Memory & cognition.

[51]  G. Yaari,et al.  “Hot Hand” on Strike: Bowling Data Indicates Correlation to Recent Past Results, Not Causality , 2012, PloS one.

[52]  Qing Ke,et al.  Defining and identifying Sleeping Beauties in science , 2015, Proceedings of the National Academy of Sciences.

[53]  Luís A Nunes Amaral,et al.  Cross-evaluation of metrics to estimate the significance of creative works , 2015, Proceedings of the National Academy of Sciences.

[54]  M. Raab,et al.  “Hand down, Man down.” Analysis of Defensive Adjustments in Response to the Hot Hand in Basketball Using Novel Defense Metrics , 2014, PloS one.

[55]  Benjamin F. Jones The Burden of Knowledge and the &Apos;Death of the Renaissance Man&Apos;: Is Innovation Getting Harder? , 2005 .

[56]  S. Christian Albright,et al.  A Statistical Analysis of Hitting Streaks in Baseball , 1993 .

[57]  Russell D Clark Examination of Hole-to-Hole Streakiness on the PGA Tour , 2005, Perceptual and motor skills.

[58]  A. Barabasi,et al.  Quantifying social group evolution , 2007, Nature.

[59]  S. Redner Citation statistics from 110 years of physical review , 2005, physics/0506056.

[60]  Santo Fortunato,et al.  The Memory of Science: Inflation, Myopia, and the Knowledge Network , 2016, J. Informetrics.

[61]  Luis A. Nunes Amaral,et al.  The Distribution of the Asymptotic Number of Citations to Sets of Publications by a Researcher or from an Academic Department Are Consistent with a Discrete Lognormal Model , 2015, PloS one.

[62]  Benjamin F. Jones,et al.  Age dynamics in scientific creativity , 2011, Proceedings of the National Academy of Sciences.

[63]  Adam Sanjurjo,et al.  Is It a Fallacy to Believe in the Hot Hand in the NBA Three-Point Contest? , 2015 .

[64]  Dean Keith Simonton,et al.  Group Artistic Creativity: Creative Clusters and Cinematic Success in Feature Films1 , 2004 .

[65]  Gary Smith,et al.  Bowlers' Hot Hands , 2004 .

[66]  Carl T. Bergstrom,et al.  The Science of Science , 2018, Science.

[67]  Jeremy Arkes,et al.  Revisiting the Hot Hand Theory with Free Throw Data in a Multivariate Framework , 2010 .

[68]  Jim Albert,et al.  Using Model/Data Simulations to Detect Streakiness , 2001 .

[69]  Andreas Wilke,et al.  The hot hand phenomenon as a cognitive adaptation to clumped resources , 2009 .

[70]  Roger C. Vergin,et al.  Winning Streaks in Sports and the Misperception of Momentum , 2000 .

[71]  Rachel T. A. Croson,et al.  The Gambler’s Fallacy and the Hot Hand: Empirical Data from Casinos , 2005 .

[72]  Nigel Harvey,et al.  Carry on winning: The gamblers’ fallacy creates hot hand effects in online gambling , 2014, Cognition.

[73]  Ginestra Bianconi,et al.  Dynamics of Ranking Processes in Complex Systems , 2012 .

[74]  A. Barabasi,et al.  Quantifying the evolution of individual scientific impact , 2016, Science.

[75]  William Shockley,et al.  On the Statistics of Individual Variations of Productivity in Research Laboratories , 1957, Proceedings of the IRE.

[76]  L. Kogan,et al.  The Gambler’s and Hot-Hand Fallacies: Theory and Applications , 2007 .

[77]  Albert-László Barabási,et al.  Quantifying Long-Term Scientific Impact , 2013, Science.

[78]  J. E. Hirsch,et al.  An index to quantify an individual's scientific research output , 2005, Proc. Natl. Acad. Sci. USA.

[79]  H. Stanley,et al.  The science of science: from the perspective of complex systems , 2017 .

[80]  R. Wardrop,et al.  Statistical Tests for the Hot-Hand in Basketball in a Controlled Setting , 1999 .

[81]  R. Wardrop Simpson's Paradox and the Hot Hand in Basketball , 1995 .

[82]  Cliff Frohlich Baseball: Pitching No-Hitters , 1994 .

[83]  H. Lehman,et al.  Age and Achievement , 1953 .