Economics at your fingertips  


Alessandro Pluchino, Alessio Emanuele Biondo () and Andrea Rapisarda
Additional contact information
Alessandro Pluchino: Department of Physics and Astronomy, University of Catania, Via S.Sofia 64, Catania 95123, Italy2INFN-CT, Via S. Sofia 64, Catania 95123, Italy
Alessio Emanuele Biondo: Department of Economics and Business, University of Catania, Corso Italia 55, Catania 95129, Italy
Andrea Rapisarda: Department of Physics and Astronomy, University of Catania, Via S.Sofia 64, Catania 95123, Italy2INFN-CT, Via S. Sofia 64, Catania 95123, Italy4Complexity Science Hub Vienna, Austria

Advances in Complex Systems (ACS), 2018, vol. 21, issue 03n04, 1-31

Abstract: The largely dominant meritocratic paradigm of highly competitive Western cultures is rooted on the belief that success is mainly due, if not exclusively, to personal qualities such as talent, intelligence, skills, smartness, efforts, willfulness, hard work or risk taking. Sometimes, we are willing to admit that a certain degree of luck could also play a role in achieving significant success. But, as a matter of fact, it is rather common to underestimate the importance of external forces in individual successful stories. It is very well known that intelligence (or, more in general, talent and personal qualities) exhibits a Gaussian distribution among the population, whereas the distribution of wealth — often considered as a proxy of success — follows typically a power law (Pareto law), with a large majority of poor people and a very small number of billionaires. Such a discrepancy between a Normal distribution of inputs, with a typical scale (the average talent or intelligence), and the scale-invariant distribution of outputs, suggests that some hidden ingredient is at work behind the scenes. In this paper, we suggest that such an ingredient is just randomness. In particular, our simple agent-based model shows that, if it is true that some degree of talent is necessary to be successful in life, almost never the most talented people reach the highest peaks of success, being overtaken by averagely talented but sensibly luckier individuals. As far as we know, this counterintuitive result — although implicitly suggested between the lines in a vast literature — is quantified here for the first time. It sheds new light on the effectiveness of assessing merit on the basis of the reached level of success and underlines the risks of distributing excessive honors or resources to people who, at the end of the day, could have been simply luckier than others. We also compare several policy hypotheses to show the most efficient strategies for public funding of research, aiming to improve meritocracy, diversity of ideas and innovation.

Keywords: Success; talent; luck; agent-based models; serendipity (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed

Downloads: (external link)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0219525918500145

Access Statistics for this article

Advances in Complex Systems (ACS) is currently edited by Frank Schweitzer

More articles in Advances in Complex Systems (ACS) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().

Page updated 2019-03-02
Handle: RePEc:wsi:acsxxx:v:21:y:2018:i:03n04:n:s0219525918500145