Simonton's Equal-Odds Rule: Brilliance Floats on Volume
Updated
Knowledge on this page was mainly distilled from Work Hard vs Work Smart: Pick One, Lose Both.
Psychologist Dean Simonton studied creative output across sciences and arts and arrived at a counterintuitive finding: the creators we remember as geniuses were not more selective than their peers. They were more prolific. The ratio of hits to misses stayed roughly constant; what changed was the total number of attempts.
The Evidence
Simonton counted over 240 published papers from Einstein, most with little lasting impact. Picasso produced thousands of paintings, sculptures, and drawings; only a handful are widely remembered. The pattern repeats across composers, scientists, and inventors. As Adam Grant summarized in Originals (2016), the most celebrated creators simply produced more, which gave them more chances for a piece to land.
Why It Matters for Builders
The equal-odds rule reframes quality as an emergent property of volume rather than a product of careful curation. Hard work generates raw material; smart work selects what deserves further investment. The two halves operate as a loop: volume provides options, and judgment identifies which options to double down on.
Q&A
What is Simonton's equal-odds rule?
It states that within a creator's body of work, the ratio of successful pieces to total output is roughly constant regardless of career stage or experience. The best predictor of producing a masterpiece in a given period is simply producing more work in that period. Quality does not replace quantity; it emerges from it.
Does the equal-odds rule mean craft and judgment don't matter?
No. Judgment determines which pieces get developed further, positioned well, and iterated on. But the raw material that judgment acts on comes from volume. A highly selective creator with low output has fewer candidates for judgment to elevate. The rule argues that volume and selection work together, not that volume alone is sufficient.
How did Adam Grant use Simonton's research in Originals?
Grant cited Simonton's studies to argue that original thinkers are distinguished less by the quality of their individual ideas and more by the sheer number of ideas they generate. He used examples like Einstein and Picasso to show that even the greatest minds produced far more forgettable work than memorable work. The lesson is that prolific output is a prerequisite, not an alternative, to breakthrough quality.
Does this apply to software products and startups?
Yes, directionally. Founders who ship more variations, run more experiments, and test more positioning angles generate more raw signal about what works. The insight rarely arrives from a single brilliant attempt. It surfaces from a volume of attempts large enough for patterns to become visible, combined with the judgment to recognize those patterns.