Skip to content
BackGOD PLAYS DICE™Big questions, honest answers

THE QUESTION LIBRARY LIFE IN THE UNIVERSE

If we could replay the history of life, would evolution turn out the same?

Evolution mixes chance with patterns that repeat, so here is what flasks of bacteria, eyes that evolved more than once, and a famous debate reveal about how predictable life really is.

THE SHORT ANSWER

Partly. If life’s history could be rerun, many details would very likely differ, because chance mutations and rare events steer each path. But evolution also repeats itself. Bacteria in separate flasks often evolve the same kinds of fixes, and eyes capable of true vision arose separately several times in different animal groups. So evolution mixes chance with repeatable patterns. How similar a rerun living world would be in its big picture is still debated among scientists. Separate populations test repeatability; simulations explore assumptions; plans recorded before outcomes help distinguish predictions from discoveries made afterward.

  • In 1989, the scientist Stephen Jay Gould argued that replaying the “tape of life” would give a very different living world.
  • The Cambridge scientist Simon Conway Morris argues the opposite: that evolution often reaches the same solutions again and again.
  • In Richard Lenski’s experiment, 12 flasks of initially identical E. coli bacteria, started in 1988, often evolved in parallel.
  • By the time of a 2008 report, only one of the 12 populations had evolved the ability to use citrate (by generation 31,500), and it depended on earlier changes.
  • Some mutations simply happen more often than others, and a 2026 study found this can shape which fixes win, even in large populations.
Twelve small glass flasks, each capped with an upside-down beaker and labeled A-1 to A-6 and A+1 to A+6, in two rows against a black background. Most hold clear liquid, while the flask labeled A-3 is visibly cloudy.
About this picture

The 12 populations of Richard Lenski’s long-term evolution experiment on 25 June 2008. The cloudy flask, Ara-3 (labeled A-3), holds the population that evolved to use citrate, so it grows far more cells than the others.

Brian Baer and Neerja Hajela, via Wikimedia Commons · CC BY-SA 1.0 · Image source ↗

WHERE THE EVIDENCE STANDS

How sure are we?

  • Evolution involves both chance events and repeatable patterns.A 2018 review in Science by Blount, Lenski and Losos: natural selection is a deterministic force, but it works on variation from random mutation, and replay experiments often show parallel changes alongside one-of-a-kind outcomes.
  • Separate populations facing the same challenge often evolve similar changes.In Lenski’s experiment, all 12 populations improved in fitness and grew faster on their sugar, and at least three genes changed in all 12 (Blount, Borland and Lenski, PNAS 2008).
  • In one Lenski population, the ability to use citrate evolved only after earlier changes made it possible.Replays from frozen samples re-evolved the trait only from later-generation clones, pointing to a potentiating change by generation 20,000 (PNAS 2008); genome work traced the trait to a gene duplication (Nature 2012).
  • A replay of all of life would give a broadly similar living world, perhaps including beings like us.Nobody can replay all of life. Blount, Lenski and Losos (Science, 2018) find evolution surprisingly repeatable among close relatives, but disparate outcomes become more likely as history runs deeper; Conway Morris argues for strong predictability and himself calls the idea heterodox.
  • Mutation bias, meaning some mutations happen more often, helps decide which adaptations win.Barber and Couce (Nature Communications, 2026) found the effect need not fade in large E. coli populations and can persist or even grow, depending on how the bias lines up with selection; they note the idea is still controversial.
  • A computer model alone confirms how real bacteria will evolve.Its rules are assumptions; predictions need checks against living populations.
What the labels mean

WHAT WE DON’T KNOW YET

Nobody knows how often key steps in life’s history, such as the rise of complex cells or of minds like ours, would happen again in a replay. It is also hard to count how often convergence happens across all of nature.

WHAT WOULD CHANGE THIS ANSWER

More replay experiments in many kinds of living things, run for longer and started from more distant points in history, would sharpen this answer. Finding life elsewhere, with its own separate history, would give the first test of evolution on another world.

Partly. If we could rewind the history of life and press play again, many details would very likely come out differently. But not everything. Evolution keeps finding some of the same solutions, again and again.

The question has a famous history. In 1989, the scientist Stephen Jay Gould wrote a book called Wonderful Life. He argued that evolution is full of chance and quirky turns. If we replayed the “tape of life” from the distant past, he said, the living world would look far different from today’s. Simon Conway Morris, an Earth scientist at the University of Cambridge, argued back. He pointed to convergent evolution, when unrelated living things evolve the same kind of trait on their own. In his view, life takes many routes but reaches only a few destinations.

We cannot rewind all of life. But we can replay small pieces of it. In 1988, the biologist Richard Lenski started 12 flasks of the same bacteria, E. coli, and let them evolve side by side. By 2008 they had passed 40,000 generations. Samples are frozen along the way, so the team can go back in time and run history again.

The results show both sides. All 12 populations got better at living in their flasks, often through similar changes. But only one population evolved the ability to eat a food called citrate, after more than 30,000 generations, as a 2008 paper reported. Replays showed that it needed earlier changes first. That is chance and history at work.

Nature shows the same mix. Eyes capable of true vision arose separately several times in different animal groups. Sharp, high-resolution eyes come in different designs, such as camera eyes and compound eyes.

So the plain answer is that evolution mixes chance with patterns that repeat. That much is Established. Our overall answer, “partly,” is Supported, still debated. Whether a full replay would give a broadly similar world, including anything like us, is an Open question.

THE LONG ANSWER

THE LONG ANSWER · ABOUT 11 MINUTES

You’ve read your 3 free long answers this month.

The short answer, how sure we are, what we don’t know, what would change our mind and every source stay free on every page, for everyone.

All Access members read the long answer: the evidence piece by piece, the strongest objections, and how to check it yourself.

Join All Access · $1 a week Or $6 a month

Billed $52 once a year. Cancel anytime in your account.

Until December 4, 11:59 pm Pacific: the Founding rate is $39 a year, and it stays $39 while you stay a member.

Create a free account: 6 long answers a month, email only.

Paying never buys a different answer. Our Paywall Promise

WHERE THE AUTHOR’S RESEARCH TOUCHES THIS

Author’s hypothesis. The Research Notebook’s Evolution & mutation page describes a research program by Ricardo Maldonado, author of GOD PLAYS DICE, called the Theory of Mutation by Natural Dominance (TMD). It starts from the pattern on this page: when many populations of the same microbe face the same challenge, such as an antibiotic, they often evolve similar fixes. It asks whether the “winning” mutations follow patterns we could predict, and how much the setting matters.

Its newest software version, 2.6.5, is dated 5 September 2026 and was posted on Zenodo on 30 September 2026. It is for analysis only. Its tools include a check that a lab runs first, checks on results sent in from outside, and a log of every step that others can replay. Version 2.6.4 compares the proposed patterns with competing explanations based on known mechanisms. Passing software checks does not show the pattern happens in nature.

On the same day, Ricardo posted a separate report. It says its aim is “to make predictions that can fail fairly on new data.” It corrects how earlier work used some counts, and it takes a new look at data that other scientists published in 2021. It calls that look “exploratory, not preregistered.” Because it reuses published data, it is not a test fixed in advance. Neither version 2.6.5 nor the report describes a new lab experiment, and TMD does not establish a new law of evolution or replace natural selection.

The Research Notebook’s status, reviewed 30 September 2026, is: software and workflow release; no new lab test reported. Its strongest challenge is the mainstream work on mutation bias described above: to count, TMD would have to pick the winners better than those models, on new data. You can follow what would count against it on the Test Ledger.

Words worth knowing (6)
Contingency
When an outcome depends on the particular history that came before it, so small early events can change what happens later.
Convergent evolution
When unrelated living things evolve similar traits on their own, such as eyes in several animal groups.
Parallel evolution
When closely related populations, such as Lenski’s 12 flasks, evolve the same changes separately.
Potentiating mutation
An earlier change that does not create a new trait by itself but makes it much easier for a later change to produce it.
Mutation bias
The fact that some kinds of mutations happen more often than others.
Generation
One round of reproduction. For Lenski’s bacteria, about 6.6 generations pass each day.

Sources & further reading

(13) · Checked Oct 1, 2026
  1. Nothing in Evolution Makes Sense Except in the Light of Biology (Reiskind, Moody, Bolnick, Hanifin and Farrior) ↗BioScience 71(4), 370–382 (2021); open access via PubMed Central PMC8038875Stephen Jay Gould argued in Wonderful Life: The Burgess Shale and the Nature of History (1989) that evolution would not repeat itself; if we rewound the tape of life and replayed it from the Cambrian, we would be unlikely to end up with anything like humans.
  2. Historical contingency and the evolution of a key innovation in an experimental population of Escherichia coli (Blount, Borland and Lenski) ↗PNAS 105, 7899–7906 (2008), doi:10.1073/pnas.0803151105Gould, Wonderful Life (Norton, 1989) and the tape of life; Conway Morris: “the evolutionary routes are many, but the destinations are limited”; LTEE started in 1988 with 12 populations; about 6.64 generations per day; parallel fitness gains, faster growth, larger cells, at least three genes changed in all 12; no citrate use for over 30,000 generations despite billions of mutations; Cit+ by 31,500 generations, noticed after about 33,127; 72 replay populations for about 3,700 generations, Cit+ re-evolved in four, all from later clones; potentiating mutation by 20,000 generations.
  3. Genomic analysis of a key innovation in an experimental Escherichia coli population (Blount, Barrick, Davidson and Lenski) ↗Nature 489, 513–518 (2012)Abstract (read via Europe PMC, PMC3461117): the Cit+ trait arose by a tandem duplication that captured an aerobically expressed promoter for a previously silent citrate transporter; multiple potentiating mutations arose during the population’s history.
  4. Contingency and determinism in evolution: Replaying life’s tape (Blount, Lenski and Losos) ↗Science 362, eaam5979 (2018)Abstract (read via Europe PMC): selection is deterministic but acts on random mutation and drift; replay experiments often show parallel changes plus idiosyncratic outcomes; convergence is hard to quantify; evolution surprisingly repeatable among close relatives, disparate outcomes more likely as history grows deeper.
  5. Evolution: like any other science it is predictable (Simon Conway Morris) ↗Philosophical Transactions of the Royal Society B 365, 133–145 (2010)Open-access full text: Department of Earth Sciences, University of Cambridge; argues evolution is remarkably predictable and calls the idea heterodox; key transitions very probable, if not inevitable; cites Lenski’s experiment as the best approximation of re-running the tape.
  6. Eye evolution and its functional basis (Dan-E. Nilsson) ↗Visual Neuroscience 30, 5–20 (2013)Open-access full text (Lund Vision Group, Lund University): directional photoreception proceeded several times independently to true vision; high-resolution (class IV) eyes only in vertebrates, cephalopods and arthropods, of camera and compound type; eye evolution driven by increasingly demanding visually guided behavior; shared Pax-6 expression has been taken as evidence eyes evolved once, and the multiple-origin scenario is compatible with it.
  7. Mutation-biased adaptation is consequential even in large bacterial populations (J. N. Barber and A. Couce) ↗Nature Communications 17, 7357 (published 10 June 2026)Open access, published 10 June 2026: the idea that mutational tendencies influence adaptation is “still controversial”; two E. coli mutator lineages evolving cefotaxime resistance; mutation-biased adaptation “may not wane in large populations” and can persist or intensify depending on its alignment with selection; describes a view of “the likeliest among the fittest”.
  8. Experimental evolution with E. coli in diverse resource environments. I. Fluctuating environments promote divergence of replicate populations ↗Cooper and Lenski, BMC Evolutionary Biology 10:11 (2010)Methods; Discussion.
  9. SLiM 3: Forward Genetic Simulations Beyond the Wright–Fisher Model ↗Haller and Messer, Molecular Biology and Evolution 36:632–637 (2019)Introduction: model assumptions.
  10. The preregistration revolution ↗Nosek and colleagues, PNAS 115:2600–2606 (2018)Preregistration in Practice, Challenges 1, 3, 5 and 6.
  11. Theory of Mutation by Natural Dominance (TMD) — v2.6.5: portable campaign execution and stricter result acceptance (DOI 10.5281/zenodo.22398093) ↗Ricardo Maldonado; author’s research record on ZenodoDated 5 September 2026; posted 30 September. The saved description passages call this a proposed framework for comparing mutation routes and leave improved prediction to independent comparisons planned in advance. Cached 30 September 2026; complete descriptions and attached files were not assessed here.
  12. Mutation by Natural Dominance (TMD): a testable framework for evolution and the origin of life — software & data (v0.8) (DOI 10.5281/zenodo.17335715) ↗Ricardo Maldonado; author’s research record on ZenodoDated 12 October 2025. The saved description passage calls this a framework before theory status and makes the full name conditional on passing checks specified in advance. Cached 30 September 2026; this passage does not establish that those checks passed. Complete descriptions and attached files were not assessed here.
  13. Mutation by Natural Dominance: finite-sample bounds for recovery-corrected route comparisons (report, version 0.5.0; DOI 10.5281/zenodo.23075312) ↗Ricardo Maldonado; author’s research record on ZenodoDated 30 September 2026; posted 1 October. The saved description passages give a conditional common-route-comparison test under stated assumptions; overlap remains unsettled. The report claims no new laboratory experiment or matched biological validation. Cached 1 October 2026; complete descriptions and attached files were not assessed here.

See a mistake? Report a problem. Corrections are made openly.

The Architect AI companion · All Access

Your next question can go further.

Included with All Access →Up to 5 questions a day while available.

Put God Plays Dice on your Home Screen

On iPhone: tap Share (on iOS 26, tap ••• first), then Add to Home Screen, then Add.

On Android: In Chrome, you can also open the ⋮ menu and choose Add to Home screen or Install.

The Home Screen version keeps its own memory on iPhone, so your nights and saved answers start fresh there.

Search the Question Library

156 answers to read · 0 questions awaiting answers Your search runs on your device.

Answers about death, grief and crisis are always free, in full. If a question is personal right now →