{"id":383,"date":"2016-06-22T22:14:33","date_gmt":"2016-06-22T22:14:33","guid":{"rendered":"http:\/\/dragoid.com\/en\/?p=383"},"modified":"2016-07-21T09:30:12","modified_gmt":"2016-07-21T09:30:12","slug":"why-watching-basketball-is-like-watching-evolution-in-action","status":"publish","type":"post","link":"https:\/\/dragoid.com\/en\/why-watching-basketball-is-like-watching-evolution-in-action\/","title":{"rendered":"Washington Post Article: Why watching basketball is like watching evolution in action"},"content":{"rendered":"<p>Basketball seems random \u2014 the court is covered with players who must constantly pivot, regroup and change course. But new research shows that the game is far from random: Rather, it continually evolves on the court in a way that mirrors the natural world.<\/p>\n<p>Yves de S\u00e1a Guerra, who teaches both physical education and physics at Spain\u2019s University of Las Palmas de Gran Canaria, is interested in dynamical systems \u2014 units whose state evolves over time according to some kind of logic or rule. These systems are at the core of chaos theory. In chaotic systems, the outcome may look random, but is highly sensitive to its initial trajectory. Think of fractals or the weather: They\u2019re governed by things like symmetry or gravity, so logic helps predict where they\u2019re going when they start \u2013 but they\u2019re so complex and sensitive that it\u2019s hard to tell what they might do next.<\/p>\n<blockquote><p>Buzz Aldrin on March Madness, brackets and basketball on Mars (or something?)<\/p><\/blockquote>\n<p>Might basketball be similar? In a quest to find out, de S\u00e1a Guerra and his team did the rational thing \u2014 they watched 6,130 NBA games. Their work, which was recently published in the International Journal of Heat and Technology, shows that there\u2019s more to basketball than March Madness.<\/p>\n<p>As they analyzed seemingly endless passes, plays and scores, the team looked for a Poisson distribution. This statistical concept helps predict the probability of a given number of events happening in a fixed period of time. Poisson distributions help turn seemingly random and rare events into predictions, but they can also work the other way around, telling people whether a seemingly random set of data is really random after all.<\/p>\n<p>Rather than following a classic Poisson distribution, basketball ended up acting more like a self-organized system. In these systems, order comes out of what looks like chaos \u2014 even when the stimuli that organizes them is random. For example, sand dunes could be considered self-organizing. They consist of millions of tiny grains of sand acted upon by random winds, but they come together into a physical pattern of ripples. Flocks of birds are self-organizing; so, too, are bees that come together to build a hive that has its own logic and structure.<\/p>\n<blockquote><p>A thousand self-organizing robots that swarm like bugs<\/p><\/blockquote>\n<p>It turns out that basketball players act similarly. Despite the seemingly endless number of options available to an individual player, the researchers observed, teams acted as a unit that kept the game flowing forward. When games stopped flowing, teams simply flowed toward another solution, taking advantage of even the smallest movement, loss of control or slip to push forward their group goal.<\/p>\n<p>That might sound like the beauty of teamwork, but it also sounds suspiciously like an evolutionary hypothesis called the Red Queen Effect. In Lewis Carroll\u2019s &#8220;Through the Looking-Glass,&#8221; the Red Queen tells Alice that in this strange world, people have to run just to stay in place. Based on the theory named after that confusing queen, all organisms must adapt and evolve at all times just to keep from disappearing.<\/p>\n<p>That theory was at play on the court, too. The research team\u2019s analysis revealed that during the last 60 seconds of play, everything that came before it stopped mattering as both teams snatched any advantage they could. Defensive intensity ratcheted up during that last minute, and teams tended to risk more, force more shots and make more fouls.<\/p>\n<p>All sorts of patterns emerged from the data: Not only did the vast number of games end with a difference of between one and 11 points, but games in which nobody scored for 100 seconds had higher probabilities of remaining scoreless within the next few seconds than their counterparts. Ninety-four percent of the most contentious games were decided in the last minute based on fouls.<\/p>\n<blockquote><p>Self-organization is even more important in that last minute,\u201d says de S\u00e1a Guerra. \u201cThe me has to serve the us.<\/p><\/blockquote>\n<p>The existence of a self-organizing, Red Queen-style group that must continually evolve in response to changing conditions could give researchers an opportunity to study micro-evolution in action, much as they watch schools of fish or herds of zebras to figure out how a group adapts and improves. But learning that basketball isn\u2019t that random after all could also help coaches and teams up their game on the court, de S\u00e1a Guerra notes. He should know \u2014 he\u2019s a basketball coach himself. He says that his new insights into the predictable disorder of the game has made him a better player and coach. His tip for would-be NCAA, NBA and WNBA coaches? Force your systems to self-organize. \u201cIntroduce uncertainty into your drill,\u201d he says. \u201cOnly by introducing uncertainty can you improve your players.\u201d<\/p>\n<p>Erin Blakemore (@heroinebook) is a freelance journalist from Boulder, Colo. She is the author of &#8220;The Heroine\u2019s Bookshelf&#8221; (Harper).<\/p>\n<p>Tipo: Art\u00edculo<br \/>\nFecha: 07\/04\/2016<br \/>\nFuente: Washington Post<br \/>\nCiudad: Washington DC USA<br \/>\nTipo: Peri\u00f3dico<\/p>\n<p>https:\/\/www.washingtonpost.com\/news\/speaking-of-science\/wp\/2016\/04\/07\/why-watching-basketball-is-like-watching-evolution-in-action\/<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Basketball seems random \u2014 the court is covered with players who must constantly pivot, regroup and change course. But new research shows that the game is far from random: Rather,&#8230;<\/p>\n","protected":false},"author":27,"featured_media":151,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[10],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v19.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Washington Post Article: Why watching basketball is like watching evolution in action - Drago<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dragoid.com\/en\/why-watching-basketball-is-like-watching-evolution-in-action\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Washington Post Article: Why watching basketball is like watching evolution in action - Drago\" \/>\n<meta property=\"og:description\" content=\"Basketball seems random \u2014 the court is covered with players who must constantly pivot, regroup and change course. 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