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Mental Models

The Matthew Effect

The Matthew Effect describes how initial advantages accumulate over time, making it easier for the rich to get richer and the famous to become more famous, often due to luck rather than merit. It applies to scientists, businesses, artists, and others, where small early successes lead to disproportionate future rewards.

THE IDEA

The Matthew Effect

The sociologist of science Robert K. Merton presented his idea of the Matthew effect, by which people take from the poor to give to the rich.* He looked at the performance of scientists and showed how an initial advantage follows someone through life. Consider the following process.

Let’s say someone writes an academic paper quoting fifty people who have worked on the subject and provided background materials for his study; assume, for the sake of simplicity, that all fifty are of equal merit. Another researcher working on the exact same subject will randomly cite three of those fifty in his bibliography. Merton showed that many academics cite references without having read the original work; rather, they’ll read a paper and draw their own citations from among its sources. So a third researcher reading the second article selects three of the previously referenced authors for his citations. These three authors will receive cumulatively more and more attention as their names become associated more tightly with the subject at hand. The difference between the winning three and the other members of the original cohort is mostly luck: they were initially chosen not for their greater skill, but simply for the way their names appeared in the prior bibliography. Thanks to their reputations, these successful academics will go on writing papers and their work will be easily accepted for publication. Academic success is partly (but significantly) a lottery.*

It is easy to test the effect of reputation. One way would be to find papers that were written by famous scientists, had their authors’ identities changed by mistake, and got rejected. You could verify how many of these rejections were subsequently overturned after the true identities of the authors were established. Note that scholars are judged mostly on how many times their work is referenced in other people’s work, and thus cliques of people who quote one another are formed (it’s an “I quote you, you quote me” type of business).

Eventually, authors who are not often cited will drop out of the game by, say, going to work for the government (if they are of a gentle nature), or for the Mafia, or for a Wall Street firm (if they have a high level of hormones). Those who got a good push in the beginning of their scholarly careers will keep getting persistent cumulative advantages throughout life. It is easier for the rich to get richer, for the famous to become more famous.

In sociology, Matthew effects bear the less literary name “cumulative advantage.” This theory can easily apply to companies, businessmen, actors, writers, and anyone else who benefits from past success. If you get published in The New Yorker because the color of your letterhead attracted the attention of the editor, who was daydreaming of daisies, the resultant reward can follow you for life. More significantly, it will follow others for life. Failure is also cumulative; losers are likely to also lose in the future, even if we don’t take into account the mechanism of demoralization that might exacerbate it and cause additional failure.

Note that art, because of its dependence on word of mouth, is extremely prone to these cumulative-advantage effects. I mentioned clustering in Chapter 1, and how journalism helps perpetuate these clusters. Our opinions about artistic merit are the result of arbitrary contagion even more than our political ideas are. One person writes a book review; another person reads it and writes a commentary that uses the same arguments. Soon you have several hundred reviews that actually sum up in their contents to no more than two or three because there is so much overlap. For an anecdotal example read Fire the Bastards!, whose author, Jack Green, goes systematically through the reviews of William Gaddis’s novel The Recognitions. Green shows clearly how book reviewers anchor on other reviews and reveals powerful mutual influence, even in their wording. This phenomenon is reminiscent of the herding of financial analysts I discussed in Chapter 10.

The advent of the modern media has accelerated these cumulative advantages. The sociologist Pierre Bourdieu noted a link between the increased concentration of success and the globalization of culture and economic life. But I am not trying to play sociologist here, only show that unpredictable elements can play a role in social outcomes.

Merton’s cumulative-advantage idea is related to “preferential attachment,” in which already well-connected or successful participants are more likely to attract further connections or opportunities. Merton was interested in the social aspect of knowledge, not in the dynamics of social randomness, so his studies were derived separately from research on the dynamics of randomness in more mathematical sciences.

When to use it

  • Academic publishing decisions, where early citations create a reputation snowball that influences future funding and publication chances.

  • Entrepreneurship, where a startup's first major contract or media mention attracts investors and customers, leading to disproportionate growth compared to similar ventures.

  • Social media virality, where an initial share by a celebrity or algorithm boost causes a post to spread far more than equivalent content.

  • In art and entertainment, examine how early attention can attract further reviews, distribution, and audiences, giving similar works very different opportunities.

FROM THEORY TO EVERYDAY LIFE

In practice

01

The Citation Lottery

Taleb imagines a researcher writing a paper citing fifty equally meritorious authors. A second researcher randomly cites three of these fifty. A third researcher reads the second paper and cites three from that list, giving those three authors disproportionate attention. Over time, these three become leading experts largely due to initial luck, illustrating the Matthew Effect.

02

The New Yorker Letterhead

In Taleb’s hypothetical example, a writer submits an article to The New Yorker. The editor, daydreaming of daisies, is attracted by the color of the letterhead and decides to publish it. This lucky break leads to a lifelong career with further opportunities, while equally talented writers who did not get that initial break may fade into obscurity.

03

Book Review Herding

Jack Green's analysis of reviews of William Gaddis's novel The Recognitions shows how reviewers copy each other's opinions and wording, creating a cascade of similar reviews. This clustering amplifies the success or failure of a book based on initial arbitrary reviews, demonstrating cumulative advantage in art.

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A MOMENT TO REFLECT

Put it to work.

  1. In your field or industry, can you identify instances where initial luck gave someone a lasting advantage over more talented peers?

  2. How might the Matthew Effect contribute to inequality in areas like education, career progression, or startup funding?

  3. What strategies could individuals or organizations use to counteract the unfair accumulation of advantage due to random early events?

Connected ideas

Another lens can bring the same problem into focus.

CONTINUE THE CONVERSATION

Source texts

  • The Black Swan The Impact of the Highly Improbable With a new section On Robustness and Fragility (Nassim Nicholas Taleb)
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