Most film star careers last one year, study suggests
The mathematicians behind the research say they can predict whether the career of an actor or actress has peaked.
The careers of most actors and actresses will only last a year, new research suggests.
Analysis of more than two million film stars also indicates that both men and women will be busiest in the earliest stages of their career, before falling out of favour.
The mathematicians behind the study, from Queen Mary University of London, said using their findings they can predict with 85% accuracy whether the career of an actor or actress has peaked, or if they should expect further success down the line.
Their findings have been published in journal Nature Communications.
“Only a select few will ever be awarded an Oscar or have their hands on the walk of fame, but this is not important to the majority of actors and actresses, who simply want to make a living,” Oliver Williams, co-author of the study, said.
“Our results shed light on the underlying social dynamics taking place in showbusiness and raise questions about the fairness of the system.”
The team analysed data from the Internet Movie Database (IMDb) on the careers of 1,512,472 actors and 896,029 actresses worldwide between 1888, when the first film was made, to 2016.
Around 69% of actors and 68% of actresses had careers lasting just one year, with prolonged success the exception not the norm.
Actors with long latency periods who then experience late comebacks are rare but intrinsically difﬁcult to predict Queen Mary University of London researchers
The researchers observed “hot” and “cold” streaks, with actors and actresses more likely to work in a year if they worked the year before, and most success early in their career.
The total number of jobs in an actor’s career appears to be linked to a “rich-get-richer” phenomenon, with the best-known actors getting the most jobs, they also found.
The researchers believe these trends mean they can predict whether an individual’s “annus mirabilis” – the year when they gained their most film credits – has already passed.
“Based on our ﬁndings, we have then constructed a statistical learning model that predicts with up to 85% accuracy whether an actor or actress is likely to have a brighter future, or if the best days are, unfortunately, behind them,” the researchers said.
“While we expect reﬁned versions of the prediction model to give even higher accuracy, it is worth noting that actors with long latency periods who then experience late comebacks are rare but intrinsically difﬁcult to predict.”