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Why Some Scientists Are Rethinking Darwin's Theory of Evolution | Stephen Meyer — Transcript

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  1. 0:00For decades now, we've been told the
  2. 0:02biggest questions of how life and our
  3. 0:04universe [music] came to be were
  4. 0:05settled. But what if they're not? The
  5. 0:08scientific discoveries of the last 100
  6. 0:09years
  7. 0:10>> [music]
  8. 0:10>> and right up to the present are pointing
  9. 0:12in a very different direction than
  10. 0:14people thought in the late 19th century.
  11. 0:16Stephen Meyer has spent his career
  12. 0:18digging into the deepest mysteries of
  13. 0:20our existence. [music] Natural selection
  14. 0:22does a nice job of explaining that that
  15. 0:23small-scale variation, but it doesn't do
  16. 0:25a good job of explaining [music] the
  17. 0:27origin of what biologists call
  18. 0:28morphological innovation, the origin of
  19. 0:31major new body plans or new form in new
  20. 0:35organs, new tissues, [music]
  21. 0:36but especially new body plans in the
  22. 0:38history of life. What if modern biology
  23. 0:40textbooks [music] leave out the most
  24. 0:41important part of the story? Darwinian
  25. 0:44evolution
  26. 0:45functions as a kind of secular religion.
  27. 0:47It's the question of the origin of the
  28. 0:49first life itself. How do you get life
  29. 0:50going? That's something Darwin never
  30. 0:52addressed.
  31. 0:53Meyer is a New York Times [music]
  32. 0:54best-selling author and founder of the
  33. 0:56Discovery Institute Center for Science
  34. 0:58and Culture. Now, in a new film, The
  35. 1:01Story of Everything, [music]
  36. 1:02coming to theaters April 30th, he lays
  37. 1:05out a case that could reshape how we
  38. 1:07think about life [music] itself. This is
  39. 1:09American Thought Leaders, and I'm Yanni
  40. 1:11Kalla.
  41. 1:14Stephen Meyer, such a pleasure to have
  42. 1:16you on American Thought Leaders. Great
  43. 1:18to be with you, Yanni. Thank you for
  44. 1:19inviting me in such a beautiful studio
  45. 1:21as well. You know, I have to offer you
  46. 1:25huge congratulations on The Story of
  47. 1:27Everything. It's
  48. 1:28a
  49. 1:29beautiful marvelous film, and I hope it
  50. 1:30does incredibly well, and at the outset
  51. 1:32I'll recommend everybody go see it.
  52. 1:35But let's start here, okay?
  53. 1:38Back when I was studying biology in my
  54. 1:41undergraduate degree,
  55. 1:43third year in third year biology,
  56. 1:45um
  57. 1:47something occurred to me.
  58. 1:49And that was that um people would say,
  59. 1:52"I believe in evolution."
  60. 1:55And I realized as I was studying
  61. 1:57evolution and continued to study
  62. 1:59evolutionary biology that when people
  63. 2:01said that they meant different things,
  64. 2:03okay?
  65. 2:04And so for example, what I first thought
  66. 2:07people were saying was that evolution by
  67. 2:09natural selection, this kind of dark
  68. 2:11specific Darwinian mechanism, happens.
  69. 2:15Right? Which I think is true as a
  70. 2:17concept, right? Like this the you can
  71. 2:20see it in viruses for example.
  72. 2:22>> true. Exactly.
  73. 2:24>> Indisputably true.
  74. 2:25However,
  75. 2:27what struck me was that when people say
  76. 2:28that often they would really mean
  77. 2:31I believe that that's where humans come
  78. 2:33from.
  79. 2:34There was this kind of quasi-religious
  80. 2:37belief in it,
  81. 2:38right? Which was just odd to me because
  82. 2:40I was very obvious to me that there were
  83. 2:42all these different clearly there would
  84. 2:43have to be all these different
  85. 2:44mechanisms at play to get the diversity
  86. 2:47of life. It's like we've been arguing
  87. 2:49almost at cross-purposes around this
  88. 2:51question. That's That's where I want to
  89. 2:52start.
  90. 2:53>> Yeah, that's a great place to start
  91. 2:55because there's a great deal of
  92. 2:56equivocation
  93. 2:58around the term evolution. It can be
  94. 2:59many different things. And just initial
  95. 3:02observation and reaction to what you've
  96. 3:04said is that there's a huge difference
  97. 3:06between the idea that natural selection
  98. 3:08is a real process that takes place and
  99. 3:11the claim that natural selection acting
  100. 3:13on random variations and mutations has
  101. 3:16unlimited creative power. It can be a
  102. 3:19process [clears throat] that is uh a
  103. 3:21real part of of biological phenomena
  104. 3:24without necessarily having unlimited
  105. 3:26creative power. And many leading
  106. 3:29evolutionary biologists today are now
  107. 3:31calling for a new theory of evolution
  108. 3:33because they recognize that the mutation
  109. 3:36natural selection mechanism has limited
  110. 3:38creative power, quite limited creative
  111. 3:40power. I attended a conference in 2016
  112. 3:44uh now 10 years ago at the Royal Society
  113. 3:47in London that was convened by a a of
  114. 3:50biologists and evolutionary biologists
  115. 3:52who have been calling for a new theory
  116. 3:53of evolution precisely because they
  117. 3:55realize that the mechanism of mutation
  118. 3:57and selection
  119. 3:58uh has such limited power. That it does
  120. 4:00a nice job of explaining small-scale
  121. 4:03variation and adaptation. All the
  122. 4:05classic examples that we learn about in
  123. 4:07the biology textbooks, the same ones
  124. 4:08that are are repeated over and over
  125. 4:10again. There's a fairly limited number
  126. 4:12of these. But the peppered moths that
  127. 4:15change coloration from dark to light and
  128. 4:16dark again, the uh or maybe it's the
  129. 4:19other way around. The uh um
  130. 4:22the Galapagos finches in the the with
  131. 4:24the beaks that get a little bigger, a
  132. 4:25little smaller and and in and change
  133. 4:28shape in response to varying uh uh soup
  134. 4:31food supplies and and and weather
  135. 4:33patterns, antibiotic resistance, uh and
  136. 4:36so forth. Uh
  137. 4:38natural selection does a nice job of
  138. 4:39explaining that that small-scale
  139. 4:41variation. But it doesn't do a good job
  140. 4:43of explaining the origin of what
  141. 4:44biologists call morphological
  142. 4:46innovation, the origin of major new body
  143. 4:49plans or new form in new organs, new
  144. 4:52tissues, but especially new body plans
  145. 4:54in the history of life. That that uh we
  146. 4:57find again and again in the fossil
  147. 4:58record the that kind of morphological
  148. 5:01innovation occurs very abruptly. And the
  149. 5:04mechanism of natural selection um
  150. 5:06does not explain that well. Runs out of
  151. 5:09of uh um
  152. 5:11capability very quickly. So we can talk
  153. 5:13about more about why that's the case.
  154. 5:14But it the the distinction between just
  155. 5:17the fact of a mechanism that does
  156. 5:19something and the claim that it can do
  157. 5:21everything is uh often overlooked.
  158. 5:25America's education system is broken.
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  198. 6:55So, you know, back in that same class
  199. 6:57that I was taking, uh there was a uh a
  200. 7:00man who became my friend. Actually, you
  201. 7:02know, I
  202. 7:03we thought of us as kids then, I guess,
  203. 7:04but
  204. 7:05um Dennis Venema, he uh he had the
  205. 7:08audacity to do one of we all had to
  206. 7:11produce a seminar as part of the seminar
  207. 7:14series, right?
  208. 7:15>> And so, he had the audacity in front of
  209. 7:17a a group of people who were definitely
  210. 7:20um you know, committed to
  211. 7:22to evolution, okay? To do uh
  212. 7:25uh a seminar on flaws in evolutionary
  213. 7:28theory, okay? And he was he was an
  214. 7:29evangelical Christian. Later actually
  215. 7:31became part of this BioLogos group, um
  216. 7:35which is, you know, basic quite quite
  217. 7:37committed now to to the adequacy of of
  218. 7:41evolutionary theory and to the creative
  219. 7:43power of natural selection. So,
  220. 7:46that's anyway, go ahead.
  221. 7:47>> no, no, that and and so it's
  222. 7:49it's interesting, right? But I I what I
  223. 7:52thought when I saw this, because this is
  224. 7:53kind of like, you know, that the class
  225. 7:55is kind of, you know, pitchforks and
  226. 7:57tiki torches. Yeah, right. It becomes
  227. 7:58like this kind of thing, because people
  228. 8:00are so emotional, somehow, so
  229. 8:01emotionally invested in this, right? But
  230. 8:04>> I have a friendly, well,
  231. 8:06of blessed memory, of a friendly
  232. 8:08debating partner, Michael Ruse, passed
  233. 8:10away last fall.
  234. 8:11And he's on the other side of the issue,
  235. 8:13obviously. He was, and he was a
  236. 8:15committed
  237. 8:16neo-Darwinist.
  238. 8:18Um, but he wrote an important book in
  239. 8:20which he acknowledged, or really
  240. 8:23highlighted, the fact that for many of
  241. 8:25his colleagues, um,
  242. 8:27Darwinian evolution
  243. 8:29functions as a kind of secular religion.
  244. 8:32And you can see why, because it's
  245. 8:33answering one of the most fundamental
  246. 8:35questions that any worldview or religion
  247. 8:37has to answer, which is, what is the
  248. 8:39thing or the entity or the process from
  249. 8:41which everything else came? And the the
  250. 8:43neo-Darwinian explanation of the origin
  251. 8:45of new forms of life is part of the
  252. 8:46answer to that really fundamental
  253. 8:49question, which is not only a scientific
  254. 8:50question, but a philosophical worldview
  255. 8:52question. But Ruse's critique of some of
  256. 8:56his own colleagues was that
  257. 8:58because it functions like a a secular
  258. 9:00religion, sometimes there's resistance
  259. 9:03to a more dispassionate scientific
  260. 9:06evaluation of its of its of its merits.
  261. 9:09It's just like to me, the eye. Yeah.
  262. 9:12Just the eye, right? And we have we have
  263. 9:15a complex eye in an octopus, for
  264. 9:16example, that's it different in some
  265. 9:19foundational ways than a than a complex
  266. 9:21eye in a human being. But no one's been
  267. 9:23able to explain to me how you get an eye
  268. 9:26with all, you know, the lens and all
  269. 9:27these complex things through a process
  270. 9:29of natural selection. I I actually think
  271. 9:31you you never get an eye through the
  272. 9:33process of natural selection, because
  273. 9:35there's just so many of these
  274. 9:36intermediate forms. You know, actually
  275. 9:38let let's do this because I I even think
  276. 9:40that maybe there's viewers out there who
  277. 9:42hear about this natural selection and
  278. 9:44evolution, you might not even understand
  279. 9:46the exact mechanism. So, let's just kind
  280. 9:47of define what it is very quickly and
  281. 9:50how I mean and if I'm wrong, you tell
  282. 9:52me, right? But I just don't think you
  283. 9:53ever get an eye through natural
  284. 9:54selection.
  285. 9:56Well, natural selection is the idea that
  286. 9:59with the Darwinian process as a whole
  287. 10:01envisions um
  288. 10:03uh differential reproduction. That there
  289. 10:06would be an organisms that would
  290. 10:08reproduce, leave offspring with varying
  291. 10:10traits, that some of those traits would
  292. 10:13be more favored in a competition for
  293. 10:15survival. And that um and that those
  294. 10:18would be differentially or on a
  295. 10:21statistical basis passed on more
  296. 10:23frequently than those traits that that
  297. 10:25are not
  298. 10:27um
  299. 10:27uh as advantageous. And over time, the
  300. 10:30idea is that there would be an
  301. 10:31accumulation of the more favorable
  302. 10:33traits and that the differences that are
  303. 10:35represented by those those uh genetic or
  304. 10:39mutational variations that arise in a
  305. 10:41population would would
  306. 10:43uh eventually become fixed in the
  307. 10:45population and there would be an overall
  308. 10:47directional change to the organism. So,
  309. 10:49something like
  310. 10:50>> if I may, so something fundamentally new
  311. 10:51would arise. But let's talk about the
  312. 10:53I'll just use quickly to reframe with
  313. 10:54this example, right? The Darwin's finch,
  314. 10:57okay? The reason you get a finch that
  315. 10:58has a very very long beak is because
  316. 11:00there's some kind of food
  317. 11:02out there that a long beak can get.
  318. 11:06Yeah, there's actually there's been a
  319. 11:07study of of this by
  320. 11:09a couple called the Grants and they
  321. 11:11showed that um that there were
  322. 11:14variations in the in the weather
  323. 11:16patterns in the Galapagos and that uh
  324. 11:19part of that it resulted in
  325. 11:22um
  326. 11:22in I think it was a series of droughts
  327. 11:24and so that there were the only very
  328. 11:26hard nuts left and so that the the the
  329. 11:29finches that survived better
  330. 11:31uh were on average had a 5% longer or
  331. 11:34forgetting the exact figure, beak that
  332. 11:36enabled them to crack through the nuts.
  333. 11:38And so you got a a small-scale variation
  334. 11:41or adaptation of the of the structure of
  335. 11:44the beak to to permit
  336. 11:47more effective
  337. 11:49Galapagos finch foraging. But the But
  338. 11:52the bottom line is is the ones that have
  339. 11:54the longer beaks in this case survive
  340. 11:56more often, which is why over time you
  341. 11:58get a longer and longer beak. Basically,
  342. 12:00that's the process, right? Well, that's
  343. 12:02that's that's the claim that that
  344. 12:03process can go on in an unlimited way
  345. 12:06producing all forms of life that we see.
  346. 12:08But that But you How do you get an eye
  347. 12:10with that? Let me Let's go more
  348. 12:12fundamental.
  349. 12:14The eye, like everything else in the in
  350. 12:16the body, depends upon the function of
  351. 12:19large biomacromolecules
  352. 12:21called proteins. Proteins do all the
  353. 12:24important jobs in cells. They catalyze
  354. 12:26reactions. They
  355. 12:28very fast rates that would not otherwise
  356. 12:30occur. They build the structural parts
  357. 12:32of miniature machines. They help process
  358. 12:34information. And they're part of what
  359. 12:37are in the case of the eye, part of
  360. 12:38what's called a biosynthetic pathway,
  361. 12:40the vision cascade, that allows vision
  362. 12:43even even to get a light-sensitive spot.
  363. 12:45You have to have a whole series of
  364. 12:47proteins that are interacting with each
  365. 12:49other in a kind of chain to make make
  366. 12:52light sensitivity possible. And so if we
  367. 12:55want to explain the origin of anything
  368. 12:58novel in life, we have to explain the
  369. 13:00origin of proteins. Now we know proteins
  370. 13:02are built by reference to the
  371. 13:04information that's stored on the DNA
  372. 13:06molecule. And that information is is
  373. 13:09stored in essentially a digital form.
  374. 13:10There's a four-character digital code of
  375. 13:14of little subunits along the spine of
  376. 13:17the DNA molecule that function like
  377. 13:19alphabetic characters in the written
  378. 13:20text or the zeros and ones in a section
  379. 13:22of software.
  380. 13:24Now we know something from our
  381. 13:25experience of software. And that is that
  382. 13:27if you start to change the zeros and
  383. 13:29ones in a section of software for doing
  384. 13:31something specific for a specific app or
  385. 13:33a program or an operating system, and
  386. 13:36you start to to to change them very
  387. 13:38much, you will degrade the function of
  388. 13:41the of the code so that it will so that
  389. 13:43the app or the program or the operating
  390. 13:45system will no longer work long before
  391. 13:48you will have made enough changes to
  392. 13:49produce something fundamentally new,
  393. 13:51okay? So, when I ask in talks, I ask
  394. 13:55you know,
  395. 13:56if there's computer programmers there, I
  396. 13:57ask them to
  397. 13:58if you're going to if you can start
  398. 14:00changing zeros and ones in a section of
  399. 14:01functioning code, are you going to build
  400. 14:03something new first or will you degrade
  401. 14:05what you have first? And they laugh. The
  402. 14:07answer's obvious. Well, it turns out
  403. 14:09we've learned the same thing is true of
  404. 14:11the digital code in the DNA that makes
  405. 14:13the protein molecules. You can alter it
  406. 14:15a little bit, and if you do, you can
  407. 14:17sometimes alter the function of the
  408. 14:19existing protein provided you don't
  409. 14:22change the overall structure of the
  410. 14:24protein that's called a fold. The fold
  411. 14:26makes possible sometimes multiple
  412. 14:28functions that are related but within
  413. 14:30that structure. But as you accumulate
  414. 14:32random mutations, some and usually
  415. 14:35between three and five, maybe up to 7%.
  416. 14:37I mean, maybe it's even 10%, but a very
  417. 14:39small number of mutations in in various
  418. 14:42proteins will cause the structure the
  419. 14:44structural stability of that fold that
  420. 14:47makes protein function possible at all
  421. 14:49to simply degrade. It's called there's a
  422. 14:52loss of what's called thermodynamic
  423. 14:54stability
  424. 14:55and structural stability. The thing
  425. 14:57unravels.
  426. 14:58But we've also learned that to build a
  427. 15:00new fold capable of completely novel set
  428. 15:03of functions, you have to the sequence
  429. 15:05differences between them are on the
  430. 15:07order of 65 and sometimes as much as
  431. 15:0880%. So, the same thing holds in the in
  432. 15:11the gene protein world that holds in the
  433. 15:13computer science world, that if you
  434. 15:15start randomly changing things at the at
  435. 15:18the genetic level, that's the way and
  436. 15:20that's what a mutation is, As those
  437. 15:22accumulate, you're going to inevitably
  438. 15:24degrade and destroy the possibility of
  439. 15:26function in what you have long before
  440. 15:29you will have changed it enough to
  441. 15:31produce something fundamentally new that
  442. 15:33will create
  443. 15:35genetic and and and and morphological
  444. 15:37novelty. So, that's the problem. And
  445. 15:40that that applies not only to the to the
  446. 15:41origin of the eye because the eye
  447. 15:43depends on all these proteins in what's
  448. 15:44called the vision cascade, but it it
  449. 15:47applies to virtually every uh
  450. 15:49significant biological change that you
  451. 15:51could imagine. So, this is one one of a
  452. 15:53legion of
  453. 15:56at least this let's call it a suite of
  454. 15:58fundamental problems with the idea that
  455. 15:59the mutation selection mechanism is
  456. 16:02fundamentally creative. It it is a real
  457. 16:04process. People like me who hold to the
  458. 16:07theory of intelligent design
  459. 16:09affirm that it's a real process. It's
  460. 16:11part of what we know about how biology
  461. 16:13works, but it has very limited creative
  462. 16:15power.
  463. 16:16And this is actually, you know, one of
  464. 16:18the key arguments you make in The Story
  465. 16:20of Everything, which I think you develop
  466. 16:22you know, it's it's it's absolutely
  467. 16:23fascinating that that the scientific
  468. 16:25discoveries that we've made in the in
  469. 16:27the realm of exactly the kinds of things
  470. 16:29that you talk about actually have given
  471. 16:31us a lot of information that we didn't
  472. 16:34have that might have made us overlook
  473. 16:36that, you know, creative power that's
  474. 16:39somehow
  475. 16:40you know, in the system but isn't
  476. 16:42explained by the by the random mutation
  477. 16:44>> exactly. It's the advance of science
  478. 16:46that has made us more confident that
  479. 16:48there's that there is a designing
  480. 16:50intelligence behind life in the
  481. 16:51universe. We don't deal a great
  482. 16:54great deal with the question of
  483. 16:57biological evolution in the film. We
  484. 16:59talk a bit about the the miniature
  485. 17:01machines that are present inside cells
  486. 17:04and how difficult they are to explain by
  487. 17:07a step-by-step gradual
  488. 17:09Darwinian process of natural selection.
  489. 17:11We look particularly at two machines
  490. 17:13that I think are really fascinating. One
  491. 17:15is the bacterial flagellar motor that
  492. 17:17our colleague Michael Behe has made
  493. 17:18famous. And the other is the ATP
  494. 17:20synthase, uh which is a little turbine.
  495. 17:22So, one's a rotary engine, the other is
  496. 17:23a turbine, and they're inside cells.
  497. 17:25This is, you know, that we used to in
  498. 17:27the 19th centuries, you were saying uh
  499. 17:29or alluding to it,
  500. 17:31the view was, right after Darwin
  501. 17:32published The Origin, that the cell was
  502. 17:35a simple homogeneous globule of
  503. 17:37undifferentiated protoplasm. That's a
  504. 17:39favorite quote of mine from Thomas Henry
  505. 17:41Huxley. I like it because he was one of
  506. 17:43the great scientists in the in 19th
  507. 17:45century, and it now seems so ignorant to
  508. 17:47us. Because as we've opened up the cell,
  509. 17:50we found this exquisite realm of digital
  510. 17:52and uh digital nanotechnology. And uh
  511. 17:56if you look at the these these these
  512. 17:58protein these machines, they're made of
  513. 18:00multiple protein parts, and if you have
  514. 18:03some some even a large set of those, but
  515. 18:06not the totality of of the parts, then
  516. 18:09you get no function. Natural selection
  517. 18:11selects for functional advantage. If the
  518. 18:14intermediate structures on the way to an
  519. 18:16eye or on the way to a flagellar motor
  520. 18:19or an ATP synthase confer no function,
  521. 18:22then there's nothing there to be
  522. 18:24preserved and passed on by the process
  523. 18:26of natural selection, and the
  524. 18:27evolutionary process will terminate
  525. 18:29before the the system ever gets built.
  526. 18:31So, we do have a bit in the film about
  527. 18:33that. It is a critique of of biological
  528. 18:35evolution, but the film's much more
  529. 18:37concerned with the question of the
  530. 18:39origin of the first life itself. How do
  531. 18:40you get life going? That's something
  532. 18:42Darwin never addressed.
  533. 18:43>> Let's go back to third year university
  534. 18:45on that.
  535. 18:45>> Yeah, sure. Okay. It was a very
  536. 18:48strange thing for me because it it was
  537. 18:50it became very clear to me that
  538. 18:51evolution by natural selection wasn't
  539. 18:54the only mode, right? This is actually
  540. 18:56what my my work became looking at
  541. 18:57alternate models of evolution because
  542. 19:01I I again, it's like I I still am
  543. 19:04perplexed in a way,
  544. 19:06unless we're really just talking about
  545. 19:08ideology, right? Um why
  546. 19:11>> very cutting edge because that's where
  547. 19:13the field has gone. People
  548. 19:25Well, no. So, I mean, I just I had
  549. 19:27basically started I started a PhD ended
  550. 19:29up finishing it as a master's. My life
  551. 19:31got kind of thrown a massive curve
  552. 19:33curveball, if you will.
  553. 19:34>> But, um, but no, I was looking at the
  554. 19:36hybridization between two species of
  555. 19:39lemur, actually.
  556. 19:41And just because I was curious, I had
  557. 19:43heard about this particular unusual
  558. 19:44situation in this one reserve in
  559. 19:46Madagascar, where it looked like two
  560. 19:48species were were coming into one,
  561. 19:52right? And I was just I was just
  562. 19:53interested in, again, alternate models.
  563. 19:56And I was like, "Oh, this this looks
  564. 19:57exciting. And I get to go to
  565. 19:59Madagascar."
  566. 19:59>> [laughter]
  567. 20:00>> I think there was a a film about
  568. 20:01Madagascar with lots of lemurs in it.
  569. 20:03>> Well, there there was. And then, in fact
  570. 20:04In fact, nobody understood what I
  571. 20:06studied until that film.
  572. 20:07>> Until the
  573. 20:08cartoon came out.
  574. 20:09>> a cartoon, and then everybody knew.
  575. 20:11Yeah, exactly. But, um, this is, you
  576. 20:14know, what what I came to, right? And I
  577. 20:16think when a lot of people say, "I
  578. 20:18believe in evolution," right? What
  579. 20:21they're saying is that
  580. 20:23human beings are meat.
  581. 20:25Or human beings are meat computers.
  582. 20:28Or something like that.
  583. 20:30Right? Like it's just be We're We're
  584. 20:32We're not the product. There's no kind
  585. 20:34of, you know, divine inspiration here.
  586. 20:36There's no We're not made in the in the
  587. 20:37image of God as certain faiths would
  588. 20:40would describe, Christianity notably and
  589. 20:42others. And there isn't that
  590. 20:44significance, you know? Well, this gets
  591. 20:46back to that
  592. 20:47that meaning of evolu- There are three
  593. 20:50basic meanings of evolution. One is that
  594. 20:52there's been change over time.
  595. 20:54And that can refer to small-scale
  596. 20:56adaptation, like the Galapagos finches
  597. 20:59or the peppered moths. Or it can refer
  598. 21:01to the idea that that,
  599. 21:03life on the planet now is different than
  600. 21:05it was a long time ago. So, if we look
  601. 21:07in the fossil record, we no longer have
  602. 21:09trilobites or triceratopses.
  603. 21:12So, the composition of life on the
  604. 21:14planet is different than it was as
  605. 21:15recorded in the fossil record a long
  606. 21:17time ago. So, that that that meaning of
  607. 21:20evolution I think is pretty much
  608. 21:21indisputable. But then there's a second
  609. 21:23meaning of evolution that's the idea
  610. 21:24that there's been continuous change over
  611. 21:27time such that the best way to represent
  612. 21:29the history of life as a great branching
  613. 21:31tree where the base of the tree is
  614. 21:33represented by one or very few simple
  615. 21:36one presumably one-celled organisms and
  616. 21:39then we've had a kind of continuous and
  617. 21:40gradual morphing and changing of those
  618. 21:42very simple forms into all the forms we
  619. 21:44see today. But everything is related by
  620. 21:46common ancestry.
  621. 21:47That's a more controversial meaning. But
  622. 21:49then the most controversial meaning is
  623. 21:51the third meaning. Not that that and
  624. 21:53that has to do with the the action of
  625. 21:56mutation and natural selection. But not
  626. 21:59just the idea that the process occurs,
  627. 22:01but rather that it occurs it has
  628. 22:03sufficient creative power to explain all
  629. 22:06of the change implied by that that tree
  630. 22:08of life picture of the history of life
  631. 22:10and and and also the appearance of
  632. 22:12design that living organisms manifest.
  633. 22:15So, a big part of the idea of Darwinism
  634. 22:18of Darwinian evolution was the idea that
  635. 22:20there is this unguided undirected
  636. 22:21process that can
  637. 22:23can account for the appearance of design
  638. 22:25without having without the process
  639. 22:27having been designed or directed in any
  640. 22:29way. So, it's inherently materialistic.
  641. 22:32And that's where then it helps it helps
  642. 22:35to underwrite a larger materialistic
  643. 22:37worldview.
  644. 22:39Richard Dawkins has famously said Darwin
  645. 22:41made it
  646. 22:42made it possible to be an intellectually
  647. 22:44fulfilled atheist. Well, why? Because
  648. 22:46he's given an account of the appearance
  649. 22:48of design without there being a
  650. 22:49designer. Mhm. An undirected process is
  651. 22:53doing all all the the creative work.
  652. 22:56Is this you know, in preparation for
  653. 22:58this we pulled a quote from Darwin from
  654. 23:01the origin of the species, you know, it
  655. 23:03just appropriately given our discussion
  656. 23:05right now, but if it could be
  657. 23:06demonstrated that any complex organ
  658. 23:08existed which could not possibly have
  659. 23:11been formed by numerous successive
  660. 23:12slight modifications, my theory would
  661. 23:14absolutely break down. Yeah. Right? Um
  662. 23:17this is kind of in the sphere of the in
  663. 23:18the context of the eye, in the context
  664. 23:20of the, you know, molecular motors that
  665. 23:22we described.
  666. 23:23>> sure.
  667. 23:23>> And you know, kind of end of the
  668. 23:25creative power that you just described.
  669. 23:26But let me No, let let's jump to
  670. 23:28something
  671. 23:29>> Can I Can I comment on that real Okay.
  672. 23:30>> to clarify for your audience because
  673. 23:32that's a that's a quote that Michael
  674. 23:34Behe has
  675. 23:35highlighted because it does establish a
  676. 23:38standard for the explanatory efficacy or
  677. 23:42or sufficiency of Darwinian theory that
  678. 23:44Darwin himself put forward. And in the
  679. 23:47case of if we look at the the bacterial
  680. 23:49flagellar motor that Michael Behe has
  681. 23:51made famous,
  682. 23:52it's got roughly 30 protein parts.
  683. 23:55It is a It is a a tiny rotary engine
  684. 23:59that sits in the in the cell membrane of
  685. 24:02a bacterium. And it it has a rotor, it
  686. 24:05has a stator, it has U-joints and
  687. 24:07bushings. It has a long whip-like tail
  688. 24:09that functions like a propeller. And if
  689. 24:11you have only
  690. 24:13some of those parts, but not all,
  691. 24:16say if you've got 26 or 25 or 24 or
  692. 24:19whatever it is,
  693. 24:21the the the motor will not function. So
  694. 24:23if you're trying to build a motor
  695. 24:25through natural selection and random
  696. 24:26variation, you need to build that
  697. 24:28successively through a series Darwin is
  698. 24:30saying a series of incremental steps.
  699. 24:32And as you add parts,
  700. 24:35presumably each for it to be for those
  701. 24:38for those that combination of parts to
  702. 24:39be preserved, the the motor or that
  703. 24:42combination must confer some functional
  704. 24:45advantage on the organism. The problem
  705. 24:46is if there's no it comes when there's
  706. 24:48no functional advantage until you have
  707. 24:50all of the parts or a a core set of
  708. 24:53parts that are are hard to reach through
  709. 24:55that gradual process. And that's the the
  710. 24:57mysterious part from a Darwinian point
  711. 24:59of view of all of these molecular
  712. 25:01machines. They're they're multi-part
  713. 25:03functionally integrated systems that
  714. 25:05require either all of the parts or a
  715. 25:08very large core set of the parts to
  716. 25:10function at all. And the which means
  717. 25:12that the intermediate steps would not be
  718. 25:13preserved and and passed on, which mean
  719. 25:16again it's natural selection only
  720. 25:17selects for functional advantage. If
  721. 25:19there's no functional advantage till you
  722. 25:20get to a very complex end point, you're
  723. 25:23not going to you're not going to
  724. 25:24You're not going to be able to build it.
  725. 25:26Let let's talk about So actually again,
  726. 25:27speaking of the BioLogos people, I think
  727. 25:30one of the most kind of compelling
  728. 25:31arguments
  729. 25:33for natural selection, right? Being a
  730. 25:36major process, okay? And and and I I'm
  731. 25:40very curious how you explain I think I
  732. 25:41think the BioLogos people would point to
  733. 25:43this. Basically, human and chimpanzee
  734. 25:46genetics are, you know, the people say
  735. 25:48it's 98.8%
  736. 25:51overlap. That's kind of astonishing. And
  737. 25:53then there's certain types of gene
  738. 25:55patterns that people will point to. The
  739. 25:57science has revealed So people would
  740. 25:58say, I I I think, that science has
  741. 26:01revealed no, actually there is
  742. 26:02definitely a common ancestor. And look
  743. 26:04at like explain to me why the genetics
  744. 26:06are so similar, right?
  745. 26:09Well, um they're not. Okay. The those
  746. 26:12numbers are dropping fairly
  747. 26:14precipitously. Mhm. Um
  748. 26:17but there's been uh so the and the final
  749. 26:19number when we compare gene sequences,
  750. 26:22uh I think it's yet to be determined,
  751. 26:24but it's it's dropping at least into the
  752. 26:26the mid to low 90s and probably going to
  753. 26:28go lower. Um Okay, but but but there's a
  754. 26:30lot of similar There's a a shocking
  755. 26:32amount of similarity if there's no
  756. 26:33common ancestor.
  757. 26:34>> there's a shocking a lot of difference
  758. 26:36between morphologically and behaviorally
  759. 26:39between chimps and humans that cannot be
  760. 26:41accounted for by the the 2% of of
  761. 26:46the alleged
  762. 26:47small 2% of gene differences. But
  763. 26:50there's a more interesting and more
  764. 26:51important study that's just come out in
  765. 26:53the journal Gene. And that is that the
  766. 26:55proteome, the things that the the the
  767. 26:58genes make, uh the proteins, all the
  768. 27:00ensemble of proteins that the gene genes
  769. 27:03make, are in sequence comparisons
  770. 27:05running between 45 and between only 45
  771. 27:08and 65% similar. Mhm. And that tells
  772. 27:11[clears throat] us something very
  773. 27:12important. That the How do you account
  774. 27:14for that? Well, that the information
  775. 27:16processing systems in the two in the two
  776. 27:18organisms are are
  777. 27:21uh
  778. 27:22profoundly disparate, very different. Uh
  779. 27:25so, the genes are functioning as the
  780. 27:27genetic information is functioning as
  781. 27:29essentially a library that can put
  782. 27:31together proteins. We also know that
  783. 27:33that the same same genes
  784. 27:35can be read and and concatenated
  785. 27:38differently to produce very different
  786. 27:40proteins. And so, what what's And this
  787. 27:43helps explain a long-standing uh
  788. 27:45mystery, which is
  789. 27:47if if if our genetics are so similar,
  790. 27:50then why are we behaviorally,
  791. 27:51morphologically, anatomically so
  792. 27:53different? And the answer is that
  793. 27:55there's the way that the information is
  794. 27:57processed, the way it's uh um expressed
  795. 28:02is very different in the in the two
  796. 28:04organisms. And so, if if high degrees of
  797. 28:08of similarity point to common ancestry,
  798. 28:11what do very divergent modes of
  799. 28:13information processing point to? Perhaps
  800. 28:15separate ancestry. So, I don't think
  801. 28:17this is all a closed question. And I
  802. 28:19think we've we've kind of been given one
  803. 28:21little smidgen of the
  804. 28:23of the of of what's really going on when
  805. 28:25we just didn't analyze the lowest level
  806. 28:28in the biological hierarchy and say,
  807. 28:29"Yeah, there's a lot of genes." You
  808. 28:31know, for example, we in both organisms,
  809. 28:34we have a gene for making hemoglobin.
  810. 28:36Hemoglobin captures molecular oxygen in
  811. 28:38the blood. There's really no reason for
  812. 28:40the gene for making that protein needs
  813. 28:42to be very different at all in the two
  814. 28:44organisms. Mhm. But to account for
  815. 28:46higher-order anatomical structures and
  816. 28:49and behavioral structures that are are
  817. 28:52grossly different, that the genetic
  818. 28:54information is going to have to be
  819. 28:55expressed and processed very
  820. 28:56differently. So, the the genes are
  821. 28:58functioning as a kind of library, and
  822. 29:00then there's something that's accessing
  823. 29:01the information. You can pull this gene
  824. 29:03and this gene. You can put them together
  825. 29:05this way or this way, or you might
  826. 29:07insert something else. So, the genetic
  827. 29:10text can be can be concatenated and and
  828. 29:13aligned in different ways to produce
  829. 29:15completely different proteins for
  830. 29:18completely different biological
  831. 29:19functions. So, there's a a great
  832. 29:22disparity in this information-processing
  833. 29:24system between the two organisms, and
  834. 29:26that's what accounts for the difference
  835. 29:27in the so-called proteome. And I think
  836. 29:29that's much more significant because
  837. 29:30it's telling us how an animal is
  838. 29:32actually built is not just the bottom-up
  839. 29:34genes. It's how the genes are processed
  840. 29:36and expressed.
  841. 29:38Um something called a developmental gene
  842. 29:40regulatory network that we probably
  843. 29:41ought to talk about because it's it's
  844. 29:42one of the things that the
  845. 29:44mutation-selection
  846. 29:46uh also can't explain. It's a a very
  847. 29:48important part of body plan development.
  848. 29:50I think
  849. 29:51this question, right, of why would, for
  850. 29:55example, mammals, right,
  851. 29:58and with humans and all be so much more
  852. 30:01similar genetically
  853. 30:03in terms of the code, right?
  854. 30:06And then why would invertebrates be much
  855. 30:08more similar, right? And then why would,
  856. 30:11you know, see how we we have all this
  857. 30:12sort of, you know, classification of
  858. 30:14species. And I remember Dennis telling
  859. 30:17me back in the day cuz I think when he
  860. 30:18did that seminar, whatever year 3, that
  861. 30:21he was like I think he was pretty much a
  862. 30:23creationist at the time, but he changed
  863. 30:25his mind. And he changed his mind
  864. 30:27because he said, "I looked at the
  865. 30:28genetic data,
  866. 30:29and I I saw these kinds of patterns, and
  867. 30:31right, that's what made me think that
  868. 30:33there's sort of, you know, that there's
  869. 30:35there's more of a role of evolution by
  870. 30:37natural selection." And he It's not that
  871. 30:39he stopped become being a Christian. He
  872. 30:40very much be stayed being a Christian,
  873. 30:42but he thought it was it was it would
  874. 30:44become a lot more compatible in his
  875. 30:46mind. And that's indeed what he's been,
  876. 30:48you know, speaking about over years and
  877. 30:50so forth. But how does that conceptually
  878. 30:53how is that explained in your your view?
  879. 30:55Yeah. Well, there's a assumption of
  880. 30:57genetic reductionism there. The genes
  881. 31:00are the the the only thing that
  882. 31:02determines form, okay? The genes make
  883. 31:05have information for making the small
  884. 31:07level small
  885. 31:09level protein parts. But the proteins
  886. 31:12have to be arranged into biosynthetic
  887. 31:14pathways. The pathways characterize
  888. 31:16different types of cells. Different
  889. 31:18types of cells have to be arranged into
  890. 31:20different types of tissues and organs.
  891. 31:23And different types of tissues have to
  892. 31:24be organized into different types of
  893. 31:26body plans. And so the the question of
  894. 31:29macroevolution is about the origin of
  895. 31:30new form, about the origin of of form at
  896. 31:33the higher level of body plans. So this
  897. 31:36the the the assumption that that
  898. 31:39led to the conviction of common ancestry
  899. 31:41on the basis of alleged high degrees of
  900. 31:44genetic similarity overlooked the
  901. 31:46importance of all these other layers of
  902. 31:48organization that have to be accounted
  903. 31:50for in accounting for the origin of
  904. 31:52biological form. And we now know that
  905. 31:54there other there are other lay there
  906. 31:56are there's information stored at higher
  907. 31:58levels beyond the genome. And we know
  908. 32:00that there are processes that are at
  909. 32:03work that are responsible for
  910. 32:06differentially expressing that genetic
  911. 32:08information during the process of animal
  912. 32:10development. And that's that's actually
  913. 32:12one of the this is
  914. 32:13I would love to explain about something
  915. 32:15called developmental gene regulatory
  916. 32:17networks because genetic information
  917. 32:19alone will not make an animal, okay?
  918. 32:22The genetic information has to be
  919. 32:23processed and expressed in very specific
  920. 32:25ways.
  921. 32:26>> I I'll just say one thing as before you
  922. 32:27continue, right? I mean there there is
  923. 32:29an explanation as to why things that
  924. 32:32kind of are some somewhat similar in
  925. 32:34form would have similar genetic codes
  926. 32:37too, right? Because you need this the
  927. 32:39similar types of proteins
  928. 32:41>> Well, exactly. The The That's the The
  929. 32:43lower level parts, of course, are going
  930. 32:45to be very similar, okay? It's the way
  931. 32:48the lower level parts, the lower level
  932. 32:50protein parts, and cells are are
  933. 32:53organized into into very different kinds
  934. 32:55of of We'll talk about animals for the
  935. 32:58present. Um so, something called a
  936. 33:00developmental gene regulatory network.
  937. 33:02It's absolutely crucial to building a
  938. 33:04new form of animal or to building an
  939. 33:06animal form, an animal body plan. The
  940. 33:09idea is that as cells go through their
  941. 33:11division, from you have a fertilized
  942. 33:13egg, then it get it divides into two,
  943. 33:15and then into the four cells, and then
  944. 33:16to eight, 16. There's this geometric
  945. 33:18expansion of the number of cells. And at
  946. 33:21different points along the way,
  947. 33:23different parts of the genome are
  948. 33:24expressed to produce very specific
  949. 33:26proteins to service very specific types
  950. 33:29of cells as they are differentiating one
  951. 33:32from from another. So, you have bone
  952. 33:33cells or nerve cells or muscle cells,
  953. 33:35and different types of proteins that are
  954. 33:37being are being built at just the right
  955. 33:39time so that those cells are being
  956. 33:41differentiated, say if it's a bone cell,
  957. 33:44from a muscle cell. And what a
  958. 33:45developmental gene regulatory network
  959. 33:47does, it what what it is is a mapping of
  960. 33:51the genetic information in the genome
  961. 33:54and the the different gene products, the
  962. 33:57the proteins, and also something called
  963. 33:59regulatory RNAs that regulate in turn
  964. 34:03which So, you have a gene, produces a
  965. 34:05regulatory RNA, and that regulatory RNA
  966. 34:08will then either turn on or turn off
  967. 34:10other parts of the genome in different
  968. 34:12cells at just the right time so that the
  969. 34:14right proteins are built in the right
  970. 34:17cell to create the to allow for the
  971. 34:19differentiation of cells as the animal's
  972. 34:22developing. And this is all beautifully
  973. 34:24choreographed. Everything turns on and
  974. 34:26off at just the right time. Now, as
  975. 34:28scientists have mapped this, in
  976. 34:29particular, uh one scientist at Caltech
  977. 34:32with colleagues uh scientist uh Eric
  978. 34:35Davidson who alas passed away just a few
  979. 34:37years ago. As they map this and they map
  980. 34:40the functional relationships involved,
  981. 34:42what they came back with was something
  982. 34:43that looks like a beautiful integrated
  983. 34:45circuit. And where you see all these
  984. 34:48these if
  985. 34:49one to many and many to one functional
  986. 34:51relationships and but instead of being a
  987. 34:53circuit that is describing the flow of
  988. 34:56electricity, it's essentially describing
  989. 34:58the flow of information and the way the
  990. 35:01information is controlling the animal
  991. 35:03development. So that's just a
  992. 35:04fascinating piece of science that just
  993. 35:07extraordinary. Now, here's but here's
  994. 35:09the rub here for macroevolutionary
  995. 35:11theory. The idea that that the mutation
  996. 35:13selection mechanism can can generate
  997. 35:15large-scale changes changes sufficient
  998. 35:17to account for one for for the change of
  999. 35:19one body plan into another. Where a body
  1000. 35:22plan is a unique organization of body
  1001. 35:25parts and tissues, okay?
  1002. 35:28So what Davidson and colleagues found
  1003. 35:31was that as you start to alter if you by
  1004. 35:35random means or otherwise you start to
  1005. 35:36alter any of the core elements of these
  1006. 35:39gene regulatory networks, the whole
  1007. 35:41process of animal development shuts down
  1008. 35:44before you get to to the termination
  1009. 35:46point of a fully developed animal form.
  1010. 35:49But that creates a problem for
  1011. 35:50evolutionary theory. Because if you
  1012. 35:52wanted to change body plan A
  1013. 35:55some animal form maybe an arthropod of
  1014. 35:57some kind into body plan B some other
  1015. 35:59kind of animal form
  1016. 36:01what we know is you got to have a gene
  1017. 36:04regulatory network a new gene regulatory
  1018. 36:06network that's coordinating the
  1019. 36:08expression of all that genetic
  1020. 36:09information in a different way.
  1021. 36:10>> little step by little step. You can't
  1022. 36:12get it little step by you can't change
  1023. 36:13it at all. I mean
  1024. 36:15very modest changes are
  1025. 36:17are allowed but very little. So if you
  1026. 36:19can't change the body
  1027. 36:21the developmental gene regulatory
  1028. 36:22network into a fundamentally different
  1029. 36:25one, you will never be able to change
  1030. 36:26the body plan into a fundamentally
  1031. 36:29different one. So, this is a This
  1032. 36:30creates a huge problem for the origin of
  1033. 36:33animal body plans. And the animal body
  1034. 36:35plans arise abruptly in the fossil
  1035. 36:37record, we know. I wrote a whole book
  1036. 36:38about this called Darwin's Doubt,
  1037. 36:41uh a book about the what's called the
  1038. 36:42Cambrian explosion. And And so, there
  1039. 36:45are really profound mysteries. Now, this
  1040. 36:46is a problem not only for neo-Darwinian
  1041. 36:48evolutionary theory, but any theory of
  1042. 36:51evolution because evolution is a fun-
  1043. 36:53fundamentally about about major change.
  1044. 36:56If you can't If you can't change the
  1045. 36:58developmental gene regulatory networks
  1046. 37:01in a significant way, you will not be
  1047. 37:02able to change body plans in a
  1048. 37:04significant way. So, this This is This
  1049. 37:07is really a fundamental challenge to all
  1050. 37:09forms of macroevolution. And um And And
  1051. 37:12it underscores what we've been talking
  1052. 37:14about, that the the the most important
  1053. 37:16aspect of of uh
  1054. 37:19morphological development and and and in
  1055. 37:23turn evolutionary transformation is not
  1056. 37:27going to happen just at the genetic
  1057. 37:28level. It's going to happen at the level
  1058. 37:30of the processing of that information,
  1059. 37:32and that's where things are highly
  1060. 37:33constrained. It's actually If you think
  1061. 37:35of when you look at that DG It's called
  1062. 37:37a DGRN, a developmental gene regulatory
  1063. 37:39network. It It's It looks like an
  1064. 37:41integrated circuit, and it's also
  1065. 37:43subject to the constraints problem of
  1066. 37:45engineering. Whereas And that is the
  1067. 37:47more functionally integrated a system,
  1068. 37:50the more difficult it is to perturb any
  1069. 37:52part of the system without defect to the
  1070. 37:54whole. And And this And that applies to
  1071. 37:57human integrated circuits. It applies to
  1072. 37:59this genetic integrated circuit that's
  1073. 38:01responsible for body plan development.
  1074. 38:03And
  1075. 38:04if can't change it much, you're not
  1076. 38:05going to get a new body plan.
  1077. 38:07If you, you know, even with a a watch,
  1078. 38:10right? You take a part away, you add a
  1079. 38:12part. Yeah.
  1080. 38:13>> system stops working.
  1081. 38:14>> That's right. That's right.
  1082. 38:16I mean, why the hostility?
  1083. 38:20Incredible hostility towards the idea
  1084. 38:23that there's some kind of creative
  1085. 38:24force. There seems to be this, you know,
  1086. 38:29deep disinterest
  1087. 38:32in exploring, you know, that there's
  1088. 38:34some kind of creative force here. Well,
  1089. 38:36I don't think there's that much
  1090. 38:37hostility to the idea of a creative
  1091. 38:39force, more to the idea of a creative
  1092. 38:41intelligence. Well, okay, so yes, thank
  1093. 38:44you for
  1094. 38:45Thank you for correcting that. Yes.
  1095. 38:47>> Well, the creative force would put you
  1096. 38:48more in a pantheistic frame where, you
  1097. 38:50know, maybe people wouldn't be quite so
  1098. 38:51hostile to that. Uh but but we are the
  1099. 38:54the underlying ideology that has really
  1100. 38:57governed modern science since the late
  1101. 38:5919th century for
  1102. 39:01is is one of materialism. It's there's a
  1103. 39:03materialistic worldview that that many
  1104. 39:06scientists have a have, in a sense,
  1105. 39:08bolted onto science and said that
  1106. 39:10science equals materialism or, more
  1107. 39:13precisely, uh there's been a convention
  1108. 39:16that's arisen that says if you're if
  1109. 39:18you're going to explain something
  1110. 39:19scientifically, you must explain it by
  1111. 39:21reference to
  1112. 39:23strictly materialistic processes, matter
  1113. 39:25and energy, natural processes, no
  1114. 39:28creative intelligence is allowed as a
  1115. 39:30possible feature in your explanation.
  1116. 39:33So, that and that that itself is a kind
  1117. 39:35of faith system we're talking about,
  1118. 39:36right?
  1119. 39:37>> it's a presupposition.
  1120. 39:38It it's become a nor-
  1121. 39:40a kind of normative convention within
  1122. 39:42science and it reflects an underlying
  1123. 39:44commitment to not just a methodological
  1124. 39:46convention but to a metaphysical
  1125. 39:48commitment in materialism. And and so,
  1126. 39:52now, and that's where I think
  1127. 39:54my my
  1128. 39:56late friend Michael Ruse's
  1129. 39:58insight comes in is that if if
  1130. 40:01evolutionary theory,
  1131. 40:03if neo-Darwinian or some other
  1132. 40:06materialistic evolutionary theory is
  1133. 40:08being challenged,
  1134. 40:11many people will sense in that a
  1135. 40:12challenge not just to the science that
  1136. 40:15that hold but also to the deeper
  1137. 40:17worldview commitments or metaphysical
  1138. 40:18commitments that they have. And like all
  1139. 40:20of us, if our deep metaphysical or
  1140. 40:23religious beliefs are being challenged,
  1141. 40:24we can easily respond
  1142. 40:26um emotionally or less than object-
  1143. 40:28objectively. And so, I think you know,
  1144. 40:30the debate gets very hot and it and I
  1145. 40:32think less so in the last 5 or 10 years.
  1146. 40:34I think there's a lot more
  1147. 40:36uh acceptance that first of all,
  1148. 40:38neo-Darwinism is not an adequate
  1149. 40:40evolutionary theory. We need a new one
  1150. 40:42if we're going to operate within the
  1151. 40:43framework of um materialistic
  1152. 40:45evolutionary biology, but um
  1153. 40:48uh an increasing number of scientists
  1154. 40:50are are now aligning with our work on
  1155. 40:52intelligent design. They're using it to
  1156. 40:54make new discoveries. They think it's a
  1157. 40:56useful framework for understanding life,
  1158. 40:58and there's a compelling uh compelling
  1159. 41:00argument for intelligent design as as
  1160. 41:03part of the explanation for how things
  1161. 41:05got here.
  1162. 41:06So, great. You you've set up uh a very
  1163. 41:09important question that I want to ask
  1164. 41:11you. You know, you you come in, you're
  1165. 41:13someone that believes in God. What
  1166. 41:15should we as viewers, right, of the
  1167. 41:17show, or what should I understand about
  1168. 41:19your suppositions and and how you came
  1169. 41:21to
  1170. 41:22research and believe what you do and
  1171. 41:24explore this.
  1172. 41:25>> Yeah, sure. Um
  1173. 41:26it might be good just to define the
  1174. 41:28theory first of all. The idea of the
  1175. 41:30theory of intelligent design holds that
  1176. 41:32there are certain features of life in
  1177. 41:34the universe that are best explained as
  1178. 41:37a product of a designing intelligence,
  1179. 41:39creative intelligence, rather than a
  1180. 41:42strictly undirected
  1181. 41:44physical or material process such as in
  1182. 41:46the biological realm, natural selection
  1183. 41:48acting on random mutations.
  1184. 41:50Um and the kinds of features we're
  1185. 41:52talking about are things like
  1186. 41:54uh
  1187. 41:55the digital code that's stored in the
  1188. 41:56DNA molecule, the complex information
  1189. 41:59processing system that not only takes
  1190. 42:02that stored that takes that stored
  1191. 42:03information and processes and expresses
  1192. 42:05it in uh in the in the construction of
  1193. 42:08proteins and protein machines, the
  1194. 42:10presence of of nano machinery inside
  1195. 42:13life, certain patterns in the fossil
  1196. 42:15record. All these things are things that
  1197. 42:17we think would be are best explained
  1198. 42:19because a creative intelligence has
  1199. 42:20played a role in the origin and history
  1200. 42:22of life. In the realm of physics, we
  1201. 42:24have phenomena like the fine-tuning of
  1202. 42:27the initial arrangement of matter and
  1203. 42:29energy at the beginning of the universe,
  1204. 42:31and the fine-tuning of the laws and
  1205. 42:33constants of physics. The basic
  1206. 42:35parameters of physics fall within very
  1207. 42:37narrow
  1208. 42:38ranges or or tolerances outside of which
  1209. 42:41not only life but even basic chemistry
  1210. 42:43would be impossible. Many physicists
  1211. 42:45have come to the conclusion that that
  1212. 42:46fine-tuning is the result of of a
  1213. 42:48fine-tuner, of a transcendent
  1214. 42:49intelligence.
  1215. 42:50>> you make that argument beautifully in in
  1216. 42:54The Story of Everything. Right. Right.
  1217. 42:56>> three things we look at. In the film, we
  1218. 42:57look at the evidence for the beginning
  1219. 42:59of the universe, and with it the the the
  1220. 43:03very real possibility that we're looking
  1221. 43:05at evidence of a creation event.
  1222. 43:07We also look at the discovery of the
  1223. 43:09fine-tuning, and we look at the interior
  1224. 43:11of the cell and the discoveries of the
  1225. 43:14miniature machinery and the digital code
  1226. 43:16that makes the proteins that make the
  1227. 43:17machines and make everything else inside
  1228. 43:19living cells. The
  1229. 43:21But, as far as the theory of intelligent
  1230. 43:23design, I attend a conference early in
  1231. 43:25my scientific career. I'm working as a
  1232. 43:28geophysicist for an oil company doing
  1233. 43:31digital signal processing of of seismic
  1234. 43:33data. It's an early form of information
  1235. 43:35technology. I attend a conference in
  1236. 43:38which
  1237. 43:39there is a very intense debate about the
  1238. 43:41origin of the first life. A new book has
  1239. 43:43come out at the time called The Mystery
  1240. 43:45of Life's Origin, and at the conference
  1241. 43:47one of the leading
  1242. 43:49chemical evolutionary theorists, someone
  1243. 43:51who had formulated a
  1244. 43:53very popular theory about how the
  1245. 43:56non-living chemicals in the so-called
  1246. 43:58prebiotic soup or environment had
  1247. 44:01arranged themselves into the first
  1248. 44:02living cells. That that scientist named
  1249. 44:05Dean Kenyon at the conference repudiated
  1250. 44:08his own work and said that he thought it
  1251. 44:10was time for the philosophers and the
  1252. 44:13theologians to reopen what he called the
  1253. 44:15natural theological question. And that
  1254. 44:17is the idea of whether
  1255. 44:19the question of whether what we're
  1256. 44:21seeing in nature is actually pointing to
  1257. 44:23the existence of of a creative
  1258. 44:24intelligence of a of a creator. Okay.
  1259. 44:26And So he be you know, he just ta- told
  1260. 44:29you and you're like, "Wow, that's
  1261. 44:30interesting."
  1262. 44:30>> No, it was shocking. It was a shocking
  1263. 44:32sort of of about-face from a leading
  1264. 44:34evolutionary biologist. He leading in he
  1265. 44:37worked on the theory of chemical
  1266. 44:38evolution, how you get from chemistry to
  1267. 44:40the first living cells. What and both he
  1268. 44:43and these other authors were intrigued
  1269. 44:45with the idea that what we were looking
  1270. 44:47at was inside the cell was evidence of
  1271. 44:50what they called an intelligent cause
  1272. 44:52because the crucial feature that had not
  1273. 44:54been explained about the origin of life
  1274. 44:56was the origin of the information that
  1275. 44:58was stored in the in the DNA molecule.
  1276. 45:001953 Watson and Crick elucidate the
  1277. 45:03structure of DNA as a double helix. In
  1278. 45:051958, Crick realizes that the chemical
  1279. 45:09subunits along the spine of the DNA
  1280. 45:10molecule are functioning like alphabetic
  1281. 45:13characters in a written text or like the
  1282. 45:15digital characters in a section of in a
  1283. 45:18in a machine code.
  1284. 45:19And so this this puts the whole question
  1285. 45:22of biological origins in a completely
  1286. 45:24different frame. We we the scientists
  1287. 45:27were able to fairly quickly to figure
  1288. 45:28out what the information on the DNA
  1289. 45:30strand did, where the information
  1290. 45:33resides, but the question of where it
  1291. 45:34came from has been unanswered from
  1292. 45:36within an evolutionary framework. And
  1293. 45:38yet we know that information, especially
  1294. 45:40in a digital or alphabetic form, always
  1295. 45:43arises from a mind. Bill Gates has said
  1296. 45:45that DNA is like a software program, but
  1297. 45:47much more complex than any we've ever
  1298. 45:49created. Uh Richard Dawkins has
  1299. 45:51acknowledged it's like machine code.
  1300. 45:53Well, we know that that computer code
  1301. 45:55comes from a programmer, and we know
  1302. 45:56that whenever we see information and we
  1303. 45:58trace it back to its source, whether
  1304. 46:00we're talking about um
  1305. 46:02information in a book or information in
  1306. 46:04a hieroglyphic inscription or
  1307. 46:05information we're transmitting as we
  1308. 46:07speak to each other information
  1309. 46:09transmitted over a wire always
  1310. 46:13arises first in a mind in an
  1311. 46:14intelligence. So the discovery of
  1312. 46:16information at the foundation of life
  1313. 46:18I've argued is a powerful indicator of
  1314. 46:20the activity of a a master programmer or
  1315. 46:23intelligence in the in the origin of
  1316. 46:25life and interestingly the method of
  1317. 46:28reasoning that I used to come to that
  1318. 46:30conclusion it has a it has a name it's a
  1319. 46:33scientific method it's either called the
  1320. 46:35method of multiple competing hypotheses
  1321. 46:37or the method of inference to the best
  1322. 46:39explanation is the very same method that
  1323. 46:42Darwin used in the origin of species
  1324. 46:44we're we're we're using standard methods
  1325. 46:46of what are called historical scientific
  1326. 46:49reasoning or forensic scientific
  1327. 46:50reasoning to come to the conclusion that
  1328. 46:52intelligent design must have played an
  1329. 46:54important causal role in the origin of
  1330. 46:55life as evolutionary biologists use in
  1331. 46:59in their own work. So it's we're we're
  1332. 47:00not
  1333. 47:01there's no special pleading here there's
  1334. 47:04it's not a special kind of science we're
  1335. 47:06using the same scientific methods but
  1336. 47:08we're just coming to a different
  1337. 47:09conclusion because we're taking the fact
  1338. 47:11of information as a foundational feature
  1339. 47:14of living systems very seriously and
  1340. 47:16saying that has to be explained and it
  1341. 47:18has to be explained by reference to the
  1342. 47:20same types of cause and effect processes
  1343. 47:22that we see
  1344. 47:24at work all around us. We know that it
  1345. 47:26takes a mind to generate information so
  1346. 47:28when we find it at the foundation of
  1347. 47:29life the most logical thing to conclude
  1348. 47:31is that a mind did in in fact produce
  1349. 47:33it. One of the things that I've heard
  1350. 47:35most often in people sort of dismissing
  1351. 47:38intelligent design is they'll just say
  1352. 47:40oh there's this amazing diversity it's
  1353. 47:42all fantastic but you just want to make
  1354. 47:44it fit into this
  1355. 47:45>> I I I I love responding to arguments
  1356. 47:47like that because they're transparently
  1357. 47:48fallacious right? That's that's an
  1358. 47:50argument from personal motivation that's
  1359. 47:53a form of ad hominem argument that can
  1360. 47:54be that same that same accusation can be
  1361. 47:57leveled at people who are developing
  1362. 47:59Darwinian explanations. As you've
  1363. 48:02already pointed out, there's this kind
  1364. 48:03of religious fervor around this. And I
  1365. 48:05think I think the motivations of the
  1366. 48:08proponents have to be set aside, and we
  1367. 48:11have to evaluate the arguments on the
  1368. 48:13basis of the merits.
  1369. 48:15>> And because there is this fervor, this
  1370. 48:17is this is my point. This is what we
  1371. 48:19notice, right?
  1372. 48:20>> on both sides just as of course
  1373. 48:22Christians would like like to see
  1374. 48:23evidence of of a creator. And yes,
  1375. 48:27and yes, materialists would like to be
  1376. 48:28able to explain things without reference
  1377. 48:30to such a creator. I mean, after all,
  1378. 48:32it's it's Dawkins who says that Darwin
  1379. 48:34made it possible to be an intellectually
  1380. 48:36fulfilled atheist. Atheist. And you can
  1381. 48:38hear the sigh of relief in his voice as
  1382. 48:40he says this. In the film, we have a
  1383. 48:41quote for him as saying that
  1384. 48:43where he says that that
  1385. 48:45that science is now
  1386. 48:48emancipated us from the idea that that
  1387. 48:50design points to a designer. Well,
  1388. 48:52what's this idea of emancipation? That
  1389. 48:54sounds like you're you're looking for
  1390. 48:55some So, everybody has motivations,
  1391. 48:57right? The great thing about training in
  1392. 48:59in philosophy, and I'm a philosopher of
  1393. 49:02science, and
  1394. 49:04is that it it it teaches you to say,
  1395. 49:07"Okay, they're motivations, but let's
  1396. 49:09set that aside. Now, let's argue
  1397. 49:11let's evaluate the propositions. Let's
  1398. 49:13evaluate the evidence. Let's evaluate
  1399. 49:15the competing explanations and see which
  1400. 49:17are
  1401. 49:18provide the best explanatory power."
  1402. 49:21And there's a key there's a key
  1403. 49:22criterion of
  1404. 49:24of explanatory success that is part of
  1405. 49:26the method of reasoning that I used to
  1406. 49:28develop the case for intelligent design.
  1407. 49:30And it was the same method that Darwin
  1408. 49:31used. And it's the idea of causal
  1409. 49:33adequacy. If you want to explain
  1410. 49:36something, you want to posit a cause
  1411. 49:38which is known to produce the effect in
  1412. 49:40question. Charles Lyell, who was
  1413. 49:42Darwin's one of Darwin's mentors, the
  1414. 49:44great geologist, had a
  1415. 49:46his in his book Principles of Geology,
  1416. 49:48there was a long subtitle. It was it
  1417. 49:50said the the changes on the earth's
  1418. 49:52surface by reference to causes now in
  1419. 49:54operation. And the idea is that
  1420. 49:57explanation that's best is the one
  1421. 49:59that's going to be that's positing a
  1422. 50:01cause which is known to have the power
  1423. 50:03to to produce the effect in question.
  1424. 50:06When I came across this when I was
  1425. 50:07thinking about whether or not there was
  1426. 50:10the information in DNA was this inside
  1427. 50:12the cell provided evidence for
  1428. 50:15intelligent design. Could I make could
  1429. 50:17is there scientific argument a rigorous
  1430. 50:19scientific argument that could be made
  1431. 50:21to support that conclusion? And I asked
  1432. 50:23myself the question, well what is the
  1433. 50:25cause now in operation that produces
  1434. 50:29functional digital information?
  1435. 50:32And we know of one. It's it's it's an
  1436. 50:33intelligence. One of the early
  1437. 50:35scientists who applied the information
  1438. 50:38sciences sciences to analyzing molecular
  1439. 50:40biology was a man named Henry Quastler.
  1440. 50:43And he he was quoted as saying, "The
  1441. 50:45creation of new information is
  1442. 50:47habitually associated with conscious
  1443. 50:49activity. That's what we know from our
  1444. 50:50uniform and repeated experience, which
  1445. 50:52is the basis of all scientific
  1446. 50:54knowledge.
  1447. 50:56It takes a mind a conscious intelligence
  1448. 50:58to generate information. And that's what
  1449. 51:00we have at the foundation of life.
  1450. 51:03Where
  1451. 51:04>> And that by the way is one of the the
  1452. 51:05key
  1453. 51:07stories in the film about the the Watson
  1454. 51:09and Crick discovery, the realization
  1455. 51:11that we not only have we we not have a
  1456. 51:14beautiful double helix molecule, but
  1457. 51:16inside the molecule is this information.
  1458. 51:18And then it's a question Where does that
  1459. 51:20come from?
  1460. 51:20>> Well, to explain the origin of life, you
  1461. 51:22got to explain the origin of these large
  1462. 51:24biomacromolecules that make life work,
  1463. 51:26especially the ones that are chock-full
  1464. 51:28of the information that that build all
  1465. 51:30the important structures inside the
  1466. 51:31cell. Yeah, and just to be clear, we're
  1467. 51:33talking about, you know, structured
  1468. 51:34information, not like the information
  1469. 51:37that a shotgun spatter or or Yeah, yeah,
  1470. 51:40that's that's that's actually very a
  1471. 51:42crucial distinction. That there is in in
  1472. 51:44the the of engineering and there's a
  1473. 51:46mathematical definition of information
  1474. 51:48that was formulated by a really a great
  1475. 51:51scientist in the late 1940s
  1476. 51:53named Claude Shannon. And in Shannon's
  1477. 51:56idea Shannon's idea of information is
  1478. 51:58about
  1479. 51:59essentially it's it's a measure of the
  1480. 52:01improbability of a sequence in an
  1481. 52:03information
  1482. 52:05carrying or the information carrying
  1483. 52:07capacity or the informa- or the
  1484. 52:08improbability of a sequence in a in a
  1485. 52:10channel of communication. And
  1486. 52:14the kind of information we're talking
  1487. 52:15about in the DNA molecule or in a
  1488. 52:17section of computer code or in a human
  1489. 52:19language is that you wildly improbable
  1490. 52:23>> wildly improbable but there's something
  1491. 52:25else as well. And that is that there's a
  1492. 52:28specificity of arrangement of the
  1493. 52:29characters that allow them to perform a
  1494. 52:32communication function. So you can have
  1495. 52:34Shannon information without the sequence
  1496. 52:37being functional or or communicative.
  1497. 52:40Having is uh
  1498. 52:42it can be
  1499. 52:43can you can have a sequence that's
  1500. 52:45highly improbable that doesn't have any
  1501. 52:46meaning in it or that it performs no
  1502. 52:47communication function. When Crick um
  1503. 52:51talked about the information in DNA he
  1504. 52:52was very careful to distinguish the kind
  1505. 52:55of information that was present in DNA
  1506. 52:57from mere Shannon information. He he
  1507. 52:59said it we're talking about the
  1508. 53:00specificity of the sequence. So it's the
  1509. 53:03difference in simple example that I use
  1510. 53:05well we use in the film is the
  1511. 53:07difference between you know what
  1512. 53:09the monkeys might type at the typewriter
  1513. 53:11which would have a calculable amount of
  1514. 53:13Shannon information but not be
  1515. 53:15meaningful or functional versus a line
  1516. 53:17of poetry like time and tide wait for no
  1517. 53:20man. The specific the specificity of the
  1518. 53:22arrangement of the characters gives that
  1519. 53:24second symbol string something that's
  1520. 53:26not present in the first which is the
  1521. 53:28ability to to convey meaning or to
  1522. 53:30perform a communication function. And
  1523. 53:32DNA performs the function of instructing
  1524. 53:36the cellular machinery as to how to
  1525. 53:38build the proteins and protein machines.
  1526. 53:41Um
  1527. 53:42a good analogy might that would for
  1528. 53:45younger audiences in particular might be
  1529. 53:46something like um
  1530. 53:48a 3D printer, a digital printer. That we
  1531. 53:51we have digital information that
  1532. 53:53produces a three-dimensional structure
  1533. 53:55or engineers would know about what's
  1534. 53:57called CAD CAM, computer-assisted design
  1535. 54:00and engineering where an engineer will
  1536. 54:01sit at the console, write some code,
  1537. 54:04it'll go down a wire, it'll be
  1538. 54:05translated into another machine code
  1539. 54:08that can be read at a manufacturing
  1540. 54:09apparatus. And then that manufacturing
  1541. 54:12apparatus, for example, if you're at the
  1542. 54:13Boeing plant in Seattle where we are,
  1543. 54:15might put the use that information to
  1544. 54:17put rivets on the airplane wing at
  1545. 54:19exactly the right place. So, you've got
  1546. 54:21digital information producing a
  1547. 54:23three-dimensional mechanical structure.
  1548. 54:26That's what's going on inside cells.
  1549. 54:28That is the kind of technology that we
  1550. 54:29have encountered in the interior of what
  1551. 54:32used to be thought of as simple
  1552. 54:33homogeneous globule of plasma. So, that
  1553. 54:36and and to explain the origin of life,
  1554. 54:37you've got to explain the
  1555. 54:39those complex inner workings. And those
  1556. 54:41inner workings I think scream design.
  1557. 54:43Yeah.
  1558. 54:44No, it's I mean it's fascinating. We've
  1559. 54:46really, as we've been talking here, we
  1560. 54:48really covered, you know, we a little
  1561. 54:50bit more in-depth or a lot I mean the
  1562. 54:52the substance of the interview has been
  1563. 54:54about this the third part, which is the
  1564. 54:56life aspect of the universe. Right, as
  1565. 54:58opposed to like, you know, kind of the
  1566. 55:00the origin itself, which, you know, we
  1567. 55:03everybody's now familiar with the Big
  1568. 55:05Bang. Yeah. And, you know, but not that
  1569. 55:07nuance. I mean, again, fascinating. I
  1570. 55:09love I also love the
  1571. 55:11the graphics that you've kind of created
  1572. 55:14to sort of build the story.
  1573. 55:16>> did a great job with that with the
  1574. 55:17production values. There's 400 visual
  1575. 55:19effects in the film.
  1576. 55:21Um there's gorgeous cinema-
  1577. 55:22cinematography that takes you deep out
  1578. 55:24into galactic space. And then uh and
  1579. 55:27then the animations take people deep
  1580. 55:29inside the cell where you can actually
  1581. 55:30see these amazing processes. And that's
  1582. 55:33where I would really commend the film
  1583. 55:35because one picture If one picture's
  1584. 55:37worth a thousand words, 400 moving
  1585. 55:40visual effects really are are worth a
  1586. 55:43lot more than we can convey in an
  1587. 55:45interview because it's it just you see
  1588. 55:47the evidence of design in front of you.
  1589. 55:50And and I think that's what is for many
  1590. 55:52people has given them an an epiphany
  1591. 55:53watching the the film.
  1592. 55:57I mean, this is
  1593. 55:59this has been quite some time in the
  1594. 56:01making for you. I mean, you've written
  1595. 56:03quite a number of books.
  1596. 56:05You know, that all kind of all point in
  1597. 56:07this direction, right? And to and now
  1598. 56:09it's the story of
  1599. 56:11everything.
  1600. 56:12>> Everything. Well, it's a bit of a we
  1601. 56:14admit it's a little bit pretentious
  1602. 56:15title, but that but by every but but
  1603. 56:18it's literally true. We're talking about
  1604. 56:19the universe, right? It's the story of
  1605. 56:21where the universe came from, where it's
  1606. 56:23fine-tuning structure came from, how
  1607. 56:24that arose, and then how life arose
  1608. 56:27within the universe. And those are the
  1609. 56:28three big questions we look at. And in
  1610. 56:30each case, the scientist the scientific
  1611. 56:32discoveries of the last 100 years and
  1612. 56:35right up to the present are pointing in
  1613. 56:37a very different direction than people
  1614. 56:39thought in the late 19th century.
  1615. 56:41Uh not towards
  1616. 56:42uh the the idea of a
  1617. 56:44a self-existing, self-creating,
  1618. 56:47self-organizing
  1619. 56:48universe that can account for everything
  1620. 56:51as a consequence of of uh
  1621. 56:54of uh
  1622. 56:55slow, gradual, undirected processes, but
  1623. 56:58rather something that
  1624. 56:59bears the hallmarks of of of a mind. And
  1625. 57:03uh but information is a hallmark of
  1626. 57:05mind. Um
  1627. 57:06that kind of tight func- functional
  1628. 57:08integration that we see in circuits or
  1629. 57:11in in the eye. If we find the kinds of
  1630. 57:13features that we find in living systems
  1631. 57:15or in the fine-tuning of the universe in
  1632. 57:17any other realm of experience, we would
  1633. 57:19immediately conclude that they were the
  1634. 57:21product of a creative intelligence. And
  1635. 57:23yet we're finding them in parts of
  1636. 57:24nature that we know we did not create.
  1637. 57:26So, that implies that there was a
  1638. 57:28creative intelligence that preceded us.
  1639. 57:31So, what an amazing film you've put
  1640. 57:32together? Again, I want to encourage
  1641. 57:34everyone to go see it and uh you know,
  1642. 57:36especially the kind of this another one
  1643. 57:38of the parts that we didn't talk at all
  1644. 57:40about is the kind of you know, the
  1645. 57:42unique
  1646. 57:43set of variables that you call it the
  1647. 57:45fine-tuning of the universe to get the
  1648. 57:47very specific elements. This is
  1649. 57:49something I almost knew nothing about
  1650. 57:51and you know, the fascinating compelling
  1651. 57:53arguments you make in the film.
  1652. 57:55Um yeah, a a final thought as we finish
  1653. 57:58up?
  1654. 57:59Well, uh
  1655. 58:00I appreciated the deep dive that you've
  1656. 58:03elicited on biology. I forgot that you
  1657. 58:05had such an extensive biology
  1658. 58:06background. So, we talked quite a bit
  1659. 58:08more about the uh even the the question
  1660. 58:11of biological evolution than than
  1661. 58:14uh we went probably deeper on that here
  1662. 58:15in the conversation that we do in the
  1663. 58:16film.
  1664. 58:17Uh in the film we do a a quite a bit on
  1665. 58:19the question of the origin of the first
  1666. 58:21life and and then the uh the I'll tell
  1667. 58:25I'll tell you what I like about the film
  1668. 58:26uh because it's an adaptation of my my
  1669. 58:29the third of my three books, the Return
  1670. 58:32of the God Hypothesis.
  1671. 58:33And I think the producers did a fabulous
  1672. 58:35job. It weaves together
  1673. 58:37um a very compelling argument and it
  1674. 58:39weaves into that argument stories of the
  1675. 58:42discoveries of these these uh three
  1676. 58:44different classes of evidence that we
  1677. 58:46think have theistic implications, the
  1678. 58:48evidence that the universe had a
  1679. 58:49beginning, that it was as you say finely
  1680. 58:51tuned from the beginning to make life
  1681. 58:53possible, and then the discoveries about
  1682. 58:55the inner complexity and the the the
  1683. 58:58informational complexity of the cell.
  1684. 59:01But it additionally it tells some really
  1685. 59:02great stories. The stories of the
  1686. 59:04scientists who who have disco- who
  1687. 59:06discovered that those different those
  1688. 59:08different things, but also how those
  1689. 59:10discoveries affected them at not just a
  1690. 59:12scientific level, but it at a at a
  1691. 59:14deeper personal level. How many of them
  1692. 59:16shifted their their overall worldview
  1693. 59:20away from the strict materialism that
  1694. 59:21they had started with to something that
  1695. 59:24was uh
  1696. 59:25uh, sympathetic to the idea that there
  1697. 59:27was a designing intelligence behind the
  1698. 59:29universe. Some even had full-blown
  1699. 59:30religious conversions. And we So, we
  1700. 59:32tell the stories of the scientists. And
  1701. 59:34then the And then the the film is, uh,
  1702. 59:36it's it's it's visually very beautiful
  1703. 59:39with the the animations, the
  1704. 59:41cinematography. So, it's the for for
  1705. 59:43people who are believers in God, I think
  1706. 59:45this is one of those films you can you
  1707. 59:47can bring friends to without feeling
  1708. 59:48you're going to be embarrassed, just the
  1709. 59:50opposite. I think it will inspire some
  1710. 59:52really great, uh, after-party
  1711. 59:54discussions. So, uh, um,
  1712. 59:56>> Absolutely. You know, I I do have one
  1713. 59:57more question. And that is when you as
  1714. 1:00:00you're, um,
  1715. 1:00:04framing out, for example, these, you
  1716. 1:00:05know, developmental pathways, the
  1717. 1:00:07protein developmental pathways, and so
  1718. 1:00:09forth.
  1719. 1:00:10Um, I was and the integrated circuit
  1720. 1:00:12analogy, I was thinking to myself, the
  1721. 1:00:13people that believe that we live in a
  1722. 1:00:15simulation, this probably all makes a
  1723. 1:00:18lot of sense to them. So, so is that the
  1724. 1:00:21Is this Is this really your argument?
  1725. 1:00:22>> We have We have a little nod to the
  1726. 1:00:24simulation theory. And the The first
  1727. 1:00:26thing to say about the simulation
  1728. 1:00:28theory, which has become very popular
  1729. 1:00:29with a lot of tech people, is that
  1730. 1:00:31that's a theory of intelligent design.
  1731. 1:00:33It implies that there was a master
  1732. 1:00:34programmer, but it also it goes beyond
  1733. 1:00:37that to suggest that somehow our reality
  1734. 1:00:39is is
  1735. 1:00:41simulative of of real reality, that
  1736. 1:00:43we're we're not really There's something
  1737. 1:00:44illusory about what we're experiencing.
  1738. 1:00:47And there I repair to one of the, uh,
  1739. 1:00:50classical arguments in philosophy with
  1740. 1:00:52from Descartes, where he also dealt with
  1741. 1:00:54his idea that maybe we were the product
  1742. 1:00:56of some kind of evil demon that was
  1743. 1:00:59that was deceiving us into thinking that
  1744. 1:01:00we existed. But then he argued, "Well,
  1745. 1:01:03if we've been deceived into thinking we
  1746. 1:01:05exist, and we're thinking conscious
  1747. 1:01:08agents thinking that we exist, um,
  1748. 1:01:11having this this false thought, the very
  1749. 1:01:14fact that we're having thought and that
  1750. 1:01:15we're consciously aware of something,
  1751. 1:01:17even if it's allegedly deceptive, means
  1752. 1:01:20that we're actually alive and aware and
  1753. 1:01:22and and therefore
  1754. 1:01:24uh, um, we do exist. I think therefore I
  1755. 1:01:26am. So I kind of think that this
  1756. 1:01:28simulation idea it's it's a it's a way
  1757. 1:01:31of talking about intelligent design
  1758. 1:01:33without going all the way to thinking
  1759. 1:01:35about a God, but it does imply a master
  1760. 1:01:37programmer and I think the idea that
  1761. 1:01:39that our our experience is in some way
  1762. 1:01:42an illusion is itself a self-defeating
  1763. 1:01:45proposition. So uh Um we we we refute it
  1764. 1:01:49much more simply in the film with David
  1765. 1:01:51Berlinski saying something very
  1766. 1:01:53dismissive and quite funny about it. So
  1767. 1:01:55for people who are fans of Berlinski,
  1768. 1:01:56you'll definitely want to see that.
  1769. 1:01:59Well, Stephen Meyer, it's such a
  1770. 1:02:00pleasure to have had you on. It's been a
  1771. 1:02:02great conversation, Yanni. Thank you
  1772. 1:02:03very much.
  1773. 1:02:05Thank you all for joining Stephen Meyer
  1774. 1:02:06and me on this episode of American
  1775. 1:02:08Thought Leaders. I'm your host, Yanni
  1776. 1:02:10Yacoub.
  1777. 1:02:12Has the universe always been here or
  1778. 1:02:15is it finite? Here is evidence for what
  1779. 1:02:18can only be described as a supernatural
  1780. 1:02:21event.
  1781. 1:02:22The universe, it bears everywhere
  1782. 1:02:24[music]
  1783. 1:02:25the fingerprints of its creator.
  1784. 1:02:27>> Surprisingly, it is science that has
  1785. 1:02:29revealed this.
  1786. 1:02:31We are dealing with a system of manifold
  1787. 1:02:34complex [music] design.
  1788. 1:02:36>> The concept of life as a cosmic
  1789. 1:02:38phenomenon should have many
  1790. 1:02:39consequences. [music]
  1791. 1:02:44The question then was what does one do
  1792. 1:02:47about it?

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