{"id":623,"date":"2008-04-03T15:21:26","date_gmt":"2008-04-03T15:21:26","guid":{"rendered":"http:\/\/scientopia.org\/blogs\/goodmath\/2008\/04\/03\/liars-no-information-allowed\/"},"modified":"2008-04-03T15:21:26","modified_gmt":"2008-04-03T15:21:26","slug":"liars-no-information-allowed","status":"publish","type":"post","link":"http:\/\/www.goodmath.org\/blog\/2008\/04\/03\/liars-no-information-allowed\/","title":{"rendered":"Liars: No Information Allowed"},"content":{"rendered":"<p><a>Bad from the Bad Ideas Blog<\/a> sent me <a href=\"http:\/\/www.wingclips.com\/cart.php?target=category&amp;category_id=778\">a link to some clips<\/a> from Ben Stein&#8217;s new Magnum Opus, &#8220;Expelled&#8221;. I went and took a look. Randomly, I picked one that looked like a clip from the movie rather than a trailer &#8211; it&#8217;s the one titled &#8220;Genetic Mutation&#8221;.<\/p>\n<p> Care to guess how long it took me to find an insane, idiotic error?<\/p>\n<p> 4 seconds. <\/p>\n<p><!--more--><\/p>\n<p> It&#8217;s the old &#8220;evolution can&#8217;t create information&#8221; scam.<\/p>\n<p> The clip is Ben Stein interviewing a guy named &#8220;Maceij Giertych&#8221;,<br \/>\nwho is allegedly a population geneticist. (I say allegedly because looking<br \/>\nthe guy up, he appears to be an agricultural biologist studying tree-growth<br \/>\npatterns in forests.) Said gentleman is not currently a working scientist,<br \/>\nbut a policitian. He&#8217;s a leader of a right-wing nationalist political party<br \/>\nin Poland, and currently is a member of the European parliament representing Poland.)<\/p>\n<p> What Giertych has to say is the usual dishonest claptrap:<\/p>\n<blockquote>\n<p><b>Giertych<\/b>: &#8220;Evolution does not produce new genetic information. and for evolution &#8230;&#8221;<\/p>\n<p><b>Stein<\/b>: &#8220;there has to be new genetic information. And where is the new genetic information going to come from?&#8221;<\/p>\n<p><b>Giertych<\/b>:&#8221;Well, that is the big question. Darwin(ists?) assume that the<br \/>\ninformation comes from natural selection. But natural selection reduces genetic<br \/>\ninformation, and we know this from all of the genetic population studies that we<br \/>\nhave.&#8221;<\/p>\n<\/blockquote>\n<p> It continues in the same vein for the remainder of the interview. I&#8217;ve written<br \/>\nabout this particular line of bullshit so many times that I&#8217;m downright bored with<br \/>\nit. But it&#8217;s pure rubbish.<\/p>\n<p> Before I get to the math part, there&#8217;s one obvious and obnoxious scam<br \/>\nin the above that it doesn&#8217;t take much to notice. &#8220;Darwinists assume that<br \/>\nthe information comes from natural selection&#8221;. No, Darwinists don&#8217;t assume that.<br \/>\nNatural selection <em>is<\/em> an information reducer: because not all<br \/>\nindividuals survive, and individuals with less adaptive traits <em>don&#8217;t<\/em><br \/>\nsurvive, you&#8217;re pruning the information for the non-adaptive traits out of the<br \/>\npopulation.<\/p>\n<p> But evolution is not <em>just<\/em> natural selection. Evolution is <em>change<\/em> plus natural selection. Natural selection chooses from the<br \/>\nvarieties that exist; change produces the new varieties. Change comes<br \/>\nfrom many places &#8211; basic mutations can be the result of copying errors,<br \/>\nof radiation or chemical agents altering the genetic code, of recombination,<br \/>\netc. That&#8217;s the change &#8211; and that <em>does<\/em> introduce new information.<\/p>\n<p> And that brings us to the mathematical part.<\/p>\n<p> Never do they bother to <em>define<\/em> information. There&#8217;s a good reason<br \/>\nfor that: because every scientific definition of information absolutely<br \/>\ndefeats their argument. Copy something? You&#8217;ve got more information because<br \/>\nyou copied it. Change something? The changed version is different information<br \/>\nthan the original. So if you&#8217;ve got a population, and you measure the amount of<br \/>\ninformation in its genome; and then a new individual is born with a change<br \/>\nin one gene &#8211; there&#8217;s now <em>more<\/em> information in that population&#8217;s<br \/>\ngenome.<\/p>\n<p> They rely on a simple confusion: information versus meaning. As human<br \/>\nbeings, we&#8217;re naturally quite obsessed with meaning. And there&#8217;s nothing wrong<br \/>\nwith that. But we tend to attribute our intuitive notion of <em>meaning<\/em><br \/>\nto things. Our intuitive idea of meaning doesn&#8217;t have any necessary relationship<br \/>\nto information &#8211; or even to an actual definition of meaning! Our intuitive notion of meaning is based on language and writing &#8211; on the way that we communicate with one another, and the properties of what we&#8217;re trying to express using that<br \/>\ninformation.<\/p>\n<p> One good way of thinking about meaning is Shannon information. Shannon&#8217;s<br \/>\ndefinition of information is based on the idea of <em>reduction in uncertainty<\/em>. That is, you pass a message to someone over some medium: the<br \/>\nquantity of information is the amount of uncertainty that you&#8217;ve eliminated<br \/>\nby sending the message. The <em>meaning<\/em> is the set of possibilities<br \/>\nthat have been eliminated.<\/p>\n<p> Anything can have information. Anything can ultimately have meaning. But recognizing whether something has meaning can be extremely difficult. For<br \/>\nexample&#8230; Look at the two strings below.<\/p>\n<pre>\nM'XL(\"!0@]4&lt;``V9O;RYT&gt;'0`=53+;MLP$+SK*[8G7Q+GGAHIVMZ;0W+I&lt;26M\nMY$4E4N$CJOZ^LY0,RTT+&amp;+!-S,,]34_T0]XE4.LIG66AVN,K4\/)TDO&amp;I\n<\/pre>\n<pre>\nQTOX;*H\/J(.2[\/2[Q'?80DaQ+A4\/\"*1HPC#%2AR\/JC_3=3P#SHZ2SNOX+_?3Y\nM*N@XQRT06[@-@;5XaC4U?E)I2WBS*Z7\/0A:H::LM@2VT8HU4JM=AQY=VJ-6\n<\/pre>\n<p> One of those two strings is an except from the the result of<br \/>\ncompressing this post up to the word &#8220;below&#8221;. The other is random. Which<br \/>\none has meaning? How can you tell?<\/p>\n<p> I can tell you that by one very naive view of information, they&#8217;ve<br \/>\ngot exactly the same amount of information. (That&#8217;s using compressibility<br \/>\nvia the LZW-2 encoding as the measure of information.) But one of them<br \/>\nhas meaning as english text, and the other is random noise.<\/p>\n<p> What people like Ben Stein want you to do is assume that<br \/>\nyour intuition about information and meaning is correct. And then<br \/>\nthey want to play on that &#8211; using scare tactics about mutation &#8211;<br \/>\nto make you think that mutations can&#8217;t generate new information &#8211; because<br \/>\nit doesn&#8217;t <em>look<\/em> like information from your intuitive perspective.<\/p>\n<p> But then, neither does the genetic code of a living thing. How<br \/>\nmuch meaning does &#8220;CCA GCA TGC TGA GGT TCA&#8221; have to you? Does it look like<br \/>\na meaningful string? How about &#8220;GAA GTT GTC ATT TTA TAA ACC TTT&#8221;?<\/p>\n<p> One of the two strings right up there is an actual excerpt from<br \/>\na human gene. The other is random stuff that I made up. Which one has<br \/>\nmore meaning? Which one has more information?<\/p>\n<p> Stein and Giertych won&#8217;t answer those questions. They can&#8217;t. And<br \/>\nthey really don&#8217;t want you to know that they can&#8217;t. Because their argument<br \/>\nis a fraud. And if they answered questions like the ones I posed above, or<br \/>\nif they even bothered to actually articulate a <em>definition<\/em> of what<br \/>\nthey mean by &#8220;genetic information&#8221;, they&#8217;d have to admit that it&#8217;s all<br \/>\na fraud.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Bad from the Bad Ideas Blog sent me a link to some clips from Ben Stein&#8217;s new Magnum Opus, &#8220;Expelled&#8221;. I went and took a look. Randomly, I picked one that looked like a clip from the movie rather than a trailer &#8211; it&#8217;s the one titled &#8220;Genetic Mutation&#8221;. Care to guess how long it [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[31],"tags":[],"class_list":["post-623","post","type-post","status-publish","format-standard","hentry","category-intelligent-design"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_shortlink":"https:\/\/wp.me\/p4lzZS-a3","jetpack_sharing_enabled":true,"jetpack_likes_enabled":true,"_links":{"self":[{"href":"http:\/\/www.goodmath.org\/blog\/wp-json\/wp\/v2\/posts\/623","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/www.goodmath.org\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.goodmath.org\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.goodmath.org\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/www.goodmath.org\/blog\/wp-json\/wp\/v2\/comments?post=623"}],"version-history":[{"count":0,"href":"http:\/\/www.goodmath.org\/blog\/wp-json\/wp\/v2\/posts\/623\/revisions"}],"wp:attachment":[{"href":"http:\/\/www.goodmath.org\/blog\/wp-json\/wp\/v2\/media?parent=623"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.goodmath.org\/blog\/wp-json\/wp\/v2\/categories?post=623"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.goodmath.org\/blog\/wp-json\/wp\/v2\/tags?post=623"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}