title: Debunking the curse of the rainbow jersey: historical cohort study.
abstract: OBJECTIVE
  To understand the underlying mechanism of the "curse of the rainbow jersey," the lack of wins that purportedly affects the current cycling world champion.
  
  
  METHODS
  Historical cohort study.
  
  
  METHODS
  On the road.
  
  
  METHODS
  Professional cyclists who won the World Championship Road Race or the Tour of Lombardy, 1965-2013.
  
  
  METHODS
  Number of professional wins per season in the year when the target race was won (year 0) and in the two following years (years 1 and 2; the world champion wears the rainbow jersey in year 1). The following hypotheses were tested: the "spotlight effect" (that is, people notice when a champion loses), the "marked man hypothesis" (the champion, who must wear a visible jersey, is marked closely by competitors), and "regression to the mean" (a successful season will be generally followed by a less successful one).
  
  
  RESULTS
  On average, world champions registered 5.04 wins in year 0, 3.96 in year 1, and 3.47 in year 2; meanwhile, winners of the Tour of Lombardy registered 5.08, 4.22, and 3.83 wins. In a regression model that accounted for the propensity to win of each rider, the baseline year accrued more wins than did the other years (win ratio 1.49, 95% confidence interval 1.24 to 1.80), but the year in the rainbow jersey did not differ significantly from other cycling seasons.
  
  
  CONCLUSIONS
  The cycling world champion is significantly less successful during the year when he wears the rainbow jersey than in the previous year, but this is best explained by regression to the mean, not by a curse.
authors.affiliation: Division of Clinical Epidemiology, Geneva University Hospitals, and Faculty of Medicine, University of Geneva, CH-1211 Geneva, Switzerland thomas.perneger@hcuge.ch.
authors.forename: Thomas
authors.initials: T
authors.lastname: Perneger
mesh_terms: D056352:Athletes; D054874:Athletic Performance / Q000706:statistics & numerical data*; D001642:Bicycling; D004300:Doping in Sports; D006801:Humans; D015233:Models, Statistical; D012044:Regression Analysis; D015203:Reproducibility of Results