{"id":128,"date":"2026-04-05T10:52:41","date_gmt":"2026-04-05T15:52:41","guid":{"rendered":"https:\/\/www.math.wustl.edu\/wp\/wick\/?p=128"},"modified":"2026-04-05T10:52:41","modified_gmt":"2026-04-05T15:52:41","slug":"when-everything-becomes-a-crab-the-strange-phenomenon-of-convergent-evolution-in-nature-mathematics-and-human-systems","status":"publish","type":"post","link":"https:\/\/www.math.wustl.edu\/wp\/wick\/index.php\/2026\/04\/05\/when-everything-becomes-a-crab-the-strange-phenomenon-of-convergent-evolution-in-nature-mathematics-and-human-systems\/","title":{"rendered":"When Everything Becomes a Crab: The Strange Phenomenon of Convergent Evolution in Nature, Mathematics, and Human Systems"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\">The Crab at the End of the Universe<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">There&#8217;s a running joke among evolutionary biologists that given enough time, everything wants to become a crab. This isn&#8217;t entirely hyperbole, at least five separate groups of crustaceans have independently evolved into crab-like forms over millions of years. This phenomenon, called carcinization, has become something of an internet sensation, spawning memes about crabs being the &#8220;ultimate life form&#8221; and jokes about humanity&#8217;s eventual crabby destiny.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">But beneath the humor lies a profound truth about how complex systems evolve. Whether we&#8217;re talking about biological organisms, mathematical discoveries, or even social media platforms, there seems to be an inexorable pull toward certain optimal forms. These &#8220;attractors&#8221; in the space of possibilities reveal something fundamental about the nature of innovation, discovery, and adaptation.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">In Biology: Why Nature Keeps Making Crabs<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Carcinization describes how at least five groups of decapod crustaceans, including king crabs, porcelain crabs, and various hermit crab relatives, independently evolved a crab-like body plan with a wide, flattened shape and a bent, reduced abdomen. The term was coined in 1916 by biologist Lancelot Alexander Borradaile, who described it as &#8220;the many attempts of Nature to evolve a crab.&#8221;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">But why crabs? The answer lies in the concept of convergent evolution, when unrelated species independently evolve similar traits in response to similar environmental pressures. The crab body plan offers specific advantages: the ability to walk sideways means crabs can make speedy exits in either direction without losing sight of predators, and their flattened bodies allow them to hide in crevices and under rocks. In the ecological niche of the seafloor, the crab form is simply one of the best solutions available.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This isn&#8217;t unique to crabs. Camera eyes evolved independently in humans and octopuses. Echolocation developed separately in both whales and bats. Flight evolved independently in birds, bats, pterosaurs, and insects. When faced with similar challenges, life repeatedly discovers similar solutions.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">In Mathematics: When Great Minds Think Alike<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Perhaps nowhere is convergent evolution more striking than in mathematics, where the constraints aren&#8217;t physical but logical. The history of mathematics is littered with examples of independent, simultaneous discoveries that would seem almost impossibly coincidental if they weren&#8217;t so common.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">The Calculus Wars<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">The most famous example is the independent development of calculus by Newton and Leibniz. Newton developed his &#8220;Method of Fluxions and Infinite Series&#8221; around 1666, while Leibniz began working on his differential calculus in 1674, publishing it in 1684. Despite their different approaches, Newton relied more on geometric intuition with concepts rooted in kinematic problems, while Leibniz approached calculus from an algebraic mindset, they arrived at essentially the same mathematical framework.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This wasn&#8217;t a fluke. As Newton himself acknowledged: &#8220;If I have seen further than other men, it is because I stood on the shoulders of giants.&#8221; Both men were building on centuries of accumulated mathematical knowledge, and the time was simply ripe for calculus to emerge.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Modern Mathematical Convergence<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">The phenomenon continues today, often at an accelerated pace. In May 1953, Robinson and Frame proved the hook length formula on a Thursday. When they presented it that Saturday at the University of Michigan, Thrall in the audience had independently proved the same result on the same day.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Even more remarkably, in 2022, Terence Tao observed &#8220;Maths at internet speed&#8221; when Justin Gilmer made a breakthrough on the union-closed sets conjecture, and within a day, other mathematicians were already building on and extending his work. The internet has transformed mathematical convergent evolution from a years-long process to one that can happen in days or even hours.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">The Teenage Revolutionary<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Sometimes convergent evolution in mathematics takes an unexpected form, when someone outside the established community independently rediscovers or disproves long-standing beliefs. Seventeen-year-old Hannah Cairo stunned the mathematics community by disproving the Mizohata-Takeuchi conjecture, a 40-year-old problem in harmonic analysis. After months of failed attempts to prove it, she shifted gears and constructed a counterexample using fractals.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Cairo&#8217;s breakthrough illustrates another aspect of mathematical convergent evolution: sometimes fresh perspectives, unburdened by conventional thinking, can see solutions that elude experts who have been immersed in a problem for decades.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">In Technology: Everything Becomes Television<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The principle of convergent evolution extends beyond nature and mathematics into human-created systems. Derek Thompson recently argued that <a href=\"https:\/\/www.derekthompson.org\/p\/why-everything-became-television\">social media platforms are undergoing their own form of carcinization<\/a>, all converging toward the same form: endless streams of short-form video.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Meta revealed that more than 80% of time spent on Facebook and more than 90% on Instagram involves watching videos. TikTok pioneered the format, but now YouTube has Shorts, Instagram has Reels, and even LinkedIn has introduced vertical video. As Thompson puts it, social media has essentially become television, or more precisely, &#8220;super-television.&#8221;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This technological convergence mirrors biological carcinization perfectly. Just as multiple crustacean lineages independently evolved the crab form because it was optimal for their environment, multiple social media platforms are independently evolving the same video-focused structure because it&#8217;s optimal for capturing human attention in the current technological environment.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Predicting the Next Discovery: The Science of Ripeness<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Understanding convergent evolution isn&#8217;t just academically interesting, it has practical applications. If we can identify the conditions that lead to convergent discovery, we can predict where the next breakthroughs are likely to occur.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">The Indicators of Mathematical Ripeness<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Recent research suggests several key indicators that a mathematical problem is &#8220;ripe&#8221; for solution:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Problem Visibility<\/strong>: The Angel problem received four independent solutions in 2006 after being featured in Peter Winkler&#8217;s book &#8220;Mathematical Puzzles: A Connoisseur&#8217;s Collection,&#8221; which &#8220;presumably sparked the interest of a lot of people who had either not heard the problem before.&#8221;<\/li>\n\n\n\n<li><strong>Tool Development<\/strong>: Questions connected to the Andrews-Curtis conjecture, unsolved for decades, yielded to an AI system using reinforcement learning with two agents, showing how new tools from one field can suddenly crack problems in another.<\/li>\n\n\n\n<li><strong>Accumulated Prerequisites<\/strong>: Major breakthroughs &#8220;don&#8217;t usually come out of nowhere&#8221; but are &#8220;made possible by decades of effort, by an accumulation of incremental steps&#8221; until problems become tractable.<\/li>\n<\/ol>\n\n\n\n<h3 class=\"wp-block-heading\">The AI Revolution in Mathematics<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Artificial intelligence is accelerating mathematical convergent evolution in unprecedented ways. Google DeepMind&#8217;s AlphaProof system, which combines multiple neural networks performing different functions, achieved silver-medal level performance at the International Mathematical Olympiad, solving problems that stumped most human competitors.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">More intriguingly, OpenAI enabled AI to leap from struggling with primary school math to achieving gold medal level at the IMO in just two months, with the model even demonstrating self-awareness by actively admitting when it couldn&#8217;t solve certain problems.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">The Deeper Pattern: Attractors in Possibility Space<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">What unites crabs, calculus, and TikTok clones? They&#8217;re all examples of what mathematicians call &#8220;attractors,&#8221; stable states toward which dynamic systems tend to evolve. Like a marble dropped in a bowl that eventually settles at the bottom regardless of where it starts, complex systems often converge on similar solutions.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This has profound implications:<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">In Biology<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Convergent evolution doesn&#8217;t mean organisms are &#8220;ultimate forms&#8221; or better than others, millions of species thrive without becoming crabs. But in certain environments, certain forms are simply more probable.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">In Mathematics<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">When multiple mathematicians independently discover the same theorem, it suggests these mathematical truths have an existence independent of their discoverers. The convergent evolution of mathematical ideas hints at an underlying structure to mathematical reality itself.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">In Technology<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Technological convergence shows how different systems evolve toward performing similar tasks, with devices like smartphones integrating functions that once required separate tools, phone, camera, computer, television.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">The Collaborative Future<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Perhaps the most exciting development is how understanding convergent evolution can be used strategically. Tim Gowers demonstrated this with his &#8220;Polymath&#8221; project, where 27 individuals collaborating online solved a major mathematical theorem in just six weeks through massive parallel effort.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Modern researchers are learning to:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Create pressure<\/strong> by publicizing problems and offering prizes<\/li>\n\n\n\n<li><strong>Watch for ripeness<\/strong> by monitoring when prerequisite knowledge accumulates<\/li>\n\n\n\n<li><strong>Leverage fresh perspectives<\/strong> by deliberately involving outsiders<\/li>\n\n\n\n<li><strong>Accelerate convergence<\/strong> through online collaboration and AI assistance<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Conclusion: The Crab-Like Nature of Discovery<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The phenomenon of carcinization, whether in biology, mathematics, or technology, reveals something fundamental about how innovation works. Given similar pressures and constraints, independent actors often converge on similar solutions. This isn&#8217;t a flaw in how the system operates; it&#8217;s a feature that reflects the deep structure of possibility space itself.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Understanding this pattern doesn&#8217;t diminish the achievement of discovery, if anything, it makes it more remarkable. When Newton and Leibniz independently invented calculus, when five groups of crustaceans independently evolved into crabs, when social media platforms independently become video streams, they&#8217;re all participating in a grand dance of convergent evolution, finding the grooves that nature, logic, or human psychology has carved into the landscape of possibility.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The next time you see a crab scuttling sideways on a beach, remember: you&#8217;re looking at one of nature&#8217;s most successful designs, so successful that evolution keeps rediscovering it. And the next time you hear about a mathematical breakthrough, remember that somewhere else, another mathematician might be having the exact same revelation. That&#8217;s not coincidence, it&#8217;s convergence.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In a universe of infinite possibilities, perhaps the most remarkable thing isn&#8217;t that everything becomes a crab, but that there are optimal forms at all, shapes in the space of possibility that draw disparate paths together like gravity wells in spacetime. Whether we&#8217;re evolving, discovering, or creating, we&#8217;re all being pulled toward these strange attractors, these solutions that want to be found.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">And maybe, just maybe, understanding this pull can help us navigate toward the next great discovery, or at least help us recognize it when multiple people inevitably discover it at the same time.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The Crab at the End of the Universe There&#8217;s a running joke among evolutionary biologists that given enough time, everything wants to become a crab. This isn&#8217;t entirely hyperbole, at least five separate groups of crustaceans have independently evolved into crab-like forms over millions of years. This phenomenon, called carcinization, has become something of an [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[7,8,10],"tags":[12,11,13],"class_list":["post-128","post","type-post","status-publish","format-standard","hentry","category-careeradvice","category-mathematicallife","category-miscellaneous","tag-career-advice","tag-mathematics","tag-research-advice"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.math.wustl.edu\/wp\/wick\/index.php\/wp-json\/wp\/v2\/posts\/128","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.math.wustl.edu\/wp\/wick\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.math.wustl.edu\/wp\/wick\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.math.wustl.edu\/wp\/wick\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.math.wustl.edu\/wp\/wick\/index.php\/wp-json\/wp\/v2\/comments?post=128"}],"version-history":[{"count":1,"href":"https:\/\/www.math.wustl.edu\/wp\/wick\/index.php\/wp-json\/wp\/v2\/posts\/128\/revisions"}],"predecessor-version":[{"id":129,"href":"https:\/\/www.math.wustl.edu\/wp\/wick\/index.php\/wp-json\/wp\/v2\/posts\/128\/revisions\/129"}],"wp:attachment":[{"href":"https:\/\/www.math.wustl.edu\/wp\/wick\/index.php\/wp-json\/wp\/v2\/media?parent=128"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.math.wustl.edu\/wp\/wick\/index.php\/wp-json\/wp\/v2\/categories?post=128"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.math.wustl.edu\/wp\/wick\/index.php\/wp-json\/wp\/v2\/tags?post=128"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}