1 00:00:02,116 --> 00:00:04,372 In our series on biology we spent many weeks together, 2 00:00:04,372 --> 00:00:06,293 talking about the physiology of animals and plants, 3 00:00:06,293 --> 00:00:08,331 and how cells work together to make tissues, 4 00:00:08,331 --> 00:00:10,020 to make organs, to make organ systems. 5 00:00:10,020 --> 00:00:13,105 To make us the hunks of meat and vegetables that we are. 6 00:00:13,105 --> 00:00:14,539 Understanding the whole organism. 7 00:00:14,539 --> 00:00:17,582 It's important to know what's going on at all those levels. 8 00:00:17,889 --> 00:00:19,957 The same is true for ecology. 9 00:00:20,249 --> 00:00:23,806 Only, instead of zooming in and out on different levels within a living thing, 10 00:00:23,806 --> 00:00:25,870 we can zoom in and out on the earth. 11 00:00:26,162 --> 00:00:27,402 Depending on the power of the magnification, 12 00:00:27,402 --> 00:00:30,425 we can understand a whole range of things about our planet. 13 00:00:30,425 --> 00:00:32,897 For instance, we can look at groups within a species, 14 00:00:32,897 --> 00:00:35,553 and how they live together in one geographic area. 15 00:00:35,553 --> 00:00:37,074 That's population ecology. 16 00:00:37,074 --> 00:00:38,371 There's also community ecology, 17 00:00:38,371 --> 00:00:40,951 where you look at groups of different organisms living together, 18 00:00:40,951 --> 00:00:42,700 and figure out how they influence each other. 19 00:00:42,700 --> 00:00:45,952 Then, the most zoomed out we get is ecosystem ecology. 20 00:00:46,259 --> 00:00:49,391 The study of how all living and non-living things, 21 00:00:49,467 --> 00:00:51,481 interact within an entire ecosystem. 22 00:00:51,696 --> 00:00:54,621 Let's start by zooming in with population ecology. 23 00:00:54,821 --> 00:00:56,534 The study of groups within a species, 24 00:00:56,534 --> 00:00:58,867 that interact mostly with each other. 25 00:00:59,313 --> 00:01:00,613 To understand why these populations, 26 00:01:00,613 --> 00:01:03,650 are different in one time and place than they are in another. 27 00:01:03,850 --> 00:01:07,072 How, you may be asking yourself, is that in any way useful to anyone ever? 28 00:01:07,441 --> 00:01:09,893 Well, it's actually super useful to everybody always. 29 00:01:09,893 --> 00:01:13,192 Let's look, for instance, at the outbreak of West Nile Virus, 30 00:01:13,192 --> 00:01:16,333 that struck Dallas, Texas in the summer of 2012. 31 00:01:16,733 --> 00:01:19,243 In Dallas County, twelve people died from the virus, 32 00:01:19,243 --> 00:01:20,573 as of the filming of this. 33 00:01:20,742 --> 00:01:22,744 Nearly three hundred people have been infected. 34 00:01:22,897 --> 00:01:24,810 In 2011 the whole state of Texas, 35 00:01:24,810 --> 00:01:28,042 reported only twenty seven cases of West Nile and only two deaths. 36 00:01:28,457 --> 00:01:29,340 That seems kind of significant. 37 00:01:29,340 --> 00:01:30,038 So, what's up? 38 00:01:30,038 --> 00:01:32,033 Turns out that this is a population ecology problem. 39 00:01:32,033 --> 00:01:33,911 West Nile is a mosquito born illness, 40 00:01:33,911 --> 00:01:36,717 and the population of mosquitoes in Dallas in 2012, 41 00:01:36,717 --> 00:01:39,114 busted through brick walls like the Kool-aid man, 42 00:01:39,114 --> 00:01:40,599 spreading West Nile like crazy. 43 00:01:40,599 --> 00:01:44,121 Why did this outbreak happen in 2012 and not the year before? 44 00:01:44,551 --> 00:01:47,390 And why did it happen in Texas and not in New Jersey? 45 00:01:47,390 --> 00:01:49,382 The answer, is population ecology. 46 00:01:49,382 --> 00:01:59,637 (fast lively music) 47 00:01:59,637 --> 00:02:02,318 Before we start solving any disease outbreak mysteries, 48 00:02:02,318 --> 00:02:04,816 we got to understand the fundamentals of population ecology. 49 00:02:04,816 --> 00:02:08,286 For starters, a population is just a group of individuals, 50 00:02:08,286 --> 00:02:10,989 of one species who interact regularly. 51 00:02:10,989 --> 00:02:14,240 How often organisms interact have a lot to do with geography. 52 00:02:14,240 --> 00:02:16,541 You're going to have a lot more face time with the folks you live near, 53 00:02:16,541 --> 00:02:18,259 than those who live farther away. 54 00:02:18,259 --> 00:02:20,597 As a result, individuals who are closer to you, 55 00:02:20,597 --> 00:02:22,888 will be the ones that you compete with for food and living space, 56 00:02:22,888 --> 00:02:24,353 mates, all that stuff. 57 00:02:24,353 --> 00:02:26,349 In order to understand why populations are different, 58 00:02:26,349 --> 00:02:27,879 from time to time and place to place, 59 00:02:27,879 --> 00:02:31,105 a population ecologist needs to know a few things about a population. 60 00:02:31,105 --> 00:02:32,425 Like, it's density. 61 00:02:32,425 --> 00:02:34,603 In this instance, how many mosquitoes there are, 62 00:02:34,603 --> 00:02:37,742 in the greater Dallas area that might come into contact with each other. 63 00:02:37,742 --> 00:02:40,161 A population's density changes due to a number of factors, 64 00:02:40,161 --> 00:02:41,787 all of which are pretty intuitive. 65 00:02:41,787 --> 00:02:43,739 It increases when new individuals are either, 66 00:02:43,739 --> 00:02:46,022 born or immigrate, that is, move in. 67 00:02:46,468 --> 00:02:49,750 It decreases because of deaths or emigration, 68 00:02:49,750 --> 00:02:50,956 or individuals moving out. 69 00:02:50,956 --> 00:02:53,370 Simple enough, but as a population ecologist, 70 00:02:53,370 --> 00:02:55,996 you also need to know about the geographic arrangement, 71 00:02:55,996 --> 00:02:58,200 of the individuals within the population. 72 00:02:58,707 --> 00:03:00,122 This is their dispersion. 73 00:03:00,122 --> 00:03:01,839 Like, are the mosquitoes all clumped together? 74 00:03:01,839 --> 00:03:03,691 Are they evenly spaced throughout the county? 75 00:03:03,691 --> 00:03:05,633 Is there some kind of random spacing? 76 00:03:05,633 --> 00:03:07,408 The answers to these questions give scientists, 77 00:03:07,408 --> 00:03:09,788 a snapshot of a population at any given moment. 78 00:03:10,080 --> 00:03:12,513 To figure out a puzzle like the West Nile outbreak, 79 00:03:12,574 --> 00:03:15,339 which involves studying how a population has changed over time, 80 00:03:15,339 --> 00:03:19,082 you have to investigate one of population ecology's central principles. 81 00:03:19,512 --> 00:03:20,817 Population growth. 82 00:03:20,817 --> 00:03:22,784 There are all kinds of factors that drive population growth, 83 00:03:22,784 --> 00:03:25,308 and they can vary radically from one organism to the next. 84 00:03:25,308 --> 00:03:26,551 Things like fecundity. 85 00:03:26,551 --> 00:03:28,993 How many offspring an individual can have in a lifetime, 86 00:03:28,993 --> 00:03:31,518 make a huge difference in the size of a population. 87 00:03:32,010 --> 00:03:35,596 For instance, why do mosquito populations seem to grow so quickly, 88 00:03:35,596 --> 00:03:38,164 while, the endangered black rhino may never recover, 89 00:03:38,164 --> 00:03:39,944 from a single act of poaching? 90 00:03:39,944 --> 00:03:42,467 For starters, mosquitoes can have two thousand offspring, 91 00:03:42,467 --> 00:03:44,115 in their two week lifetime. 92 00:03:44,484 --> 00:03:47,287 While the rhino can have like five in forty years. 93 00:03:47,456 --> 00:03:50,034 Still, a population doesn't usually or even ever, 94 00:03:50,034 --> 00:03:53,096 grow to its full potential and it can't keep growing indefinitely. 95 00:03:53,281 --> 00:03:55,031 To understand how fast or slow, 96 00:03:55,031 --> 00:03:57,712 and high or low a population actually grows, 97 00:03:57,773 --> 00:03:59,882 you need to focus on what's keeping growth in check. 98 00:04:00,220 --> 00:04:01,916 These factors are appropriately called, 99 00:04:02,531 --> 00:04:03,854 limiting factors. 100 00:04:03,854 --> 00:04:05,941 Say, you're a mosquito in Dallas in 2011, 101 00:04:05,941 --> 00:04:07,112 the year before the outbreak. 102 00:04:07,388 --> 00:04:10,432 Back then, the growth rate wasn't what it was in 2012, 103 00:04:10,432 --> 00:04:12,344 so something was keeping you down. 104 00:04:12,774 --> 00:04:14,925 To figure out what your limiting factors were, 105 00:04:14,956 --> 00:04:17,140 you first have to narrow down what you need as a mosquito, 106 00:04:17,140 --> 00:04:19,360 to live and reproduce successfully. 107 00:04:19,589 --> 00:04:20,741 First, you got to find your food. 108 00:04:20,741 --> 00:04:22,830 Now, you mosquitoes, you eat all kinds of things. 109 00:04:22,830 --> 00:04:25,326 But in order to reproduce, assuming you're a female, 110 00:04:25,326 --> 00:04:26,727 you need a blood meal. 111 00:04:27,311 --> 00:04:29,733 You have to find a vertebrate and suck some of its blood out. 112 00:04:29,733 --> 00:04:32,432 Presumably there's no shortage of vertebrates walking around Dallas, 113 00:04:32,432 --> 00:04:33,875 for you to suck blood out of. 114 00:04:33,875 --> 00:04:36,121 I have good friends who are vertebrates in Dallas. 115 00:04:36,613 --> 00:04:38,566 You might even be able to suck some of their blood. 116 00:04:38,781 --> 00:04:39,498 Next, temperature. 117 00:04:39,498 --> 00:04:42,129 Because you mosquitoes are ectothermic, it has to be warm, 118 00:04:42,129 --> 00:04:43,975 in order for you to be active. 119 00:04:44,014 --> 00:04:48,297 Now, Texas is pretty warm and the winter of 2011, 2012 was especially balmy. 120 00:04:48,297 --> 00:04:51,261 In fact, the summer of 2012 was exceptionally hot, 121 00:04:51,261 --> 00:04:53,546 which helps speed up the mosquito life cycle. 122 00:04:53,546 --> 00:04:55,540 That's one limiting factor that's been removed, 123 00:04:55,540 --> 00:04:57,148 for Dallas area mosquitoes. 124 00:04:57,148 --> 00:04:58,618 Moving on to mates. 125 00:04:58,618 --> 00:05:01,321 If you're a female mosquito, you need to find a nice male mosquito, 126 00:05:01,321 --> 00:05:03,155 with a job and preferably his own car, 127 00:05:03,155 --> 00:05:05,676 because Dallas is a pretty big city, to mate with. 128 00:05:05,676 --> 00:05:07,499 This isn't actually all that hard because the way that mosquitoes do it. 129 00:05:07,945 --> 00:05:10,321 Males just gather into a mosquito cloud, 130 00:05:10,321 --> 00:05:12,387 at dusk every night during mating season, 131 00:05:12,387 --> 00:05:15,105 and all the female has to do is find her local dude cloud, 132 00:05:15,105 --> 00:05:17,057 and fly into it in order to get mated with. 133 00:05:17,657 --> 00:05:18,267 Easy cheese. 134 00:05:18,267 --> 00:05:19,511 Finally, space. 135 00:05:19,511 --> 00:05:20,460 And, aha! 136 00:05:20,460 --> 00:05:22,711 Because here we have another important clue. 137 00:05:22,711 --> 00:05:25,182 Mosquitoes need to lay their eggs in stagnant water, 138 00:05:25,582 --> 00:05:26,970 if there's anything mosquito larva hate, 139 00:05:26,970 --> 00:05:29,198 it's a rainstorm flushing out the little puddle of water, 140 00:05:29,198 --> 00:05:30,107 they've been living in. 141 00:05:30,107 --> 00:05:32,943 Since Dallas saw a pretty severe drought in the summer of 2012, 142 00:05:32,943 --> 00:05:35,970 there were lots of pockets of stagnant, nasty mosquito water, 143 00:05:35,970 --> 00:05:38,182 sitting around acting as nurseries for many, 144 00:05:38,182 --> 00:05:40,376 many West Nile infected mosquitoes. 145 00:05:40,883 --> 00:05:42,026 When we look at this evidence, 146 00:05:42,026 --> 00:05:43,479 we find at least two limiting factors, 147 00:05:43,479 --> 00:05:45,878 for Dallas' mosquito population growth, 148 00:05:45,878 --> 00:05:48,076 that were removed in 2011. 149 00:05:48,076 --> 00:05:50,167 The constraints of temperature and space. 150 00:05:50,351 --> 00:05:51,924 It was plenty hot and there were lots, 151 00:05:51,924 --> 00:05:55,910 of egg-laying locations so the bugs were free to go nuts. 152 00:05:55,910 --> 00:05:58,147 Population ecologists group limiting factors like these, 153 00:05:58,147 --> 00:05:59,672 into two different categories. 154 00:05:59,672 --> 00:06:02,441 Density dependent and density independent. 155 00:06:02,441 --> 00:06:03,682 They do it this way because we need to know, 156 00:06:03,682 --> 00:06:05,559 whether a population's growth rate is being controlled, 157 00:06:05,559 --> 00:06:07,046 by how many individuals are in it, 158 00:06:07,046 --> 00:06:08,912 or whether it's being controlled by something else. 159 00:06:08,912 --> 00:06:10,206 The reason these limitations matter, 160 00:06:10,206 --> 00:06:12,831 is because they affect what's known as the carrying capacity, 161 00:06:12,831 --> 00:06:14,523 of the mosquitoes' habitat. 162 00:06:14,969 --> 00:06:17,780 That's the number of individuals that a habitat can sustain, 163 00:06:17,780 --> 00:06:19,027 with the resources that it has available. 164 00:06:19,027 --> 00:06:22,131 So, density dependent limitations are factors that inhibit growth, 165 00:06:22,131 --> 00:06:25,263 because of the environmental stress caused by a population size. 166 00:06:25,724 --> 00:06:27,824 For example, there may simply not be enough, 167 00:06:27,824 --> 00:06:29,968 food, water, and space to accommodate everyone. 168 00:06:29,968 --> 00:06:31,824 Or maybe because there are so many individuals, 169 00:06:31,824 --> 00:06:34,491 a nearby predator population explodes, 170 00:06:34,491 --> 00:06:36,687 which helps keep the population in check. 171 00:06:36,687 --> 00:06:39,176 Things like disease can also be a density dependent limitation. 172 00:06:39,437 --> 00:06:41,081 Lots of individuals living in close quarters, 173 00:06:41,081 --> 00:06:42,912 can make infections spread like crazy. 174 00:06:42,912 --> 00:06:44,275 Now, I don't think that the Dallas mosquitoes, 175 00:06:44,275 --> 00:06:46,265 are going to run out of vertebrates to dine on any time soon, 176 00:06:46,265 --> 00:06:50,972 but let's say hypothetically, that the explosion of local mosquito populations, 177 00:06:50,972 --> 00:06:52,261 caused a similar explosion, 178 00:06:52,261 --> 00:06:54,154 in the number of Mexican free tailed bats, 179 00:06:54,154 --> 00:06:56,676 the official flying mammal of the state of Texas. 180 00:06:56,676 --> 00:06:58,607 They eat mosquitoes. 181 00:06:58,607 --> 00:07:01,396 That would be a limiting factor that was density dependent. 182 00:07:01,396 --> 00:07:03,254 More mosquitoes leads to more bats, 183 00:07:03,254 --> 00:07:04,931 which leads to fewer mosquitoes. 184 00:07:04,931 --> 00:07:05,686 It's pretty simple. 185 00:07:05,686 --> 00:07:07,542 When density dependent limitations start to kick in, 186 00:07:07,542 --> 00:07:09,510 and start to limit a population's growth, 187 00:07:09,510 --> 00:07:12,373 that means that the habitat's carrying capacity has been reached. 188 00:07:12,373 --> 00:07:15,413 The other type of limiting factor, the density independent ones, 189 00:07:15,413 --> 00:07:17,441 have nothing to do with how many individuals there are, 190 00:07:17,441 --> 00:07:19,460 or how dense the population is. 191 00:07:19,460 --> 00:07:21,487 A lot of times, these limitations are described, 192 00:07:21,487 --> 00:07:22,842 in terms of some catastrophe. 193 00:07:23,242 --> 00:07:25,435 A volcanic eruption, a monsoon, a Chernobyl. 194 00:07:25,435 --> 00:07:28,681 In any case, some crucial aspect of the population's lifestyle, 195 00:07:28,681 --> 00:07:31,222 changes enough that it makes it harder to get by. 196 00:07:31,222 --> 00:07:32,976 These factors don't have to be super dramatic. 197 00:07:32,976 --> 00:07:36,755 Going back to mosquitoes, say, in 2013 there's a huge thunderstorm. 198 00:07:36,785 --> 00:07:39,980 A really gully washer in Dallas every day for three months. 199 00:07:39,980 --> 00:07:41,903 That's going to disturb the clutches of mosquito eggs, 200 00:07:41,903 --> 00:07:43,354 hanging out in the stagnant water. 201 00:07:43,354 --> 00:07:46,434 So the number born that year would be substantially smaller. 202 00:07:46,434 --> 00:07:48,170 By the same token, if the temperature swung the other way, 203 00:07:48,170 --> 00:07:49,939 and it was unseasonably cold all summer, 204 00:07:49,939 --> 00:07:51,668 the bugs' growth rate would drop. 205 00:07:51,668 --> 00:07:54,335 Now, the truth is, there are a billion and a half situations, 206 00:07:54,335 --> 00:07:57,079 both big and small that could lead to a population, 207 00:07:57,079 --> 00:07:58,726 either reaching its carrying capacity, 208 00:07:58,726 --> 00:08:00,693 or collapsing because of external factors. 209 00:08:01,139 --> 00:08:04,800 It's a population ecologist's job to figure out what those factors are. 210 00:08:05,261 --> 00:08:07,120 That is what math is for. 211 00:08:07,258 --> 00:08:10,413 Our friend math says that any population of anything, 212 00:08:10,413 --> 00:08:12,383 anything, will grow exponentially, 213 00:08:12,383 --> 00:08:13,970 unless there's some reason that it can't. 214 00:08:14,385 --> 00:08:16,404 Exponential growth means that the population grows, 215 00:08:16,404 --> 00:08:19,310 at a rate proportional to the size of the population. 216 00:08:19,710 --> 00:08:21,117 Here at the beginning of 2012, 217 00:08:21,117 --> 00:08:23,265 we might only have had a thousand mosquitoes in Dallas, 218 00:08:23,295 --> 00:08:25,799 but then after, say, one month we got three thousand. 219 00:08:25,799 --> 00:08:27,560 Now, with three times as many reproducing mosquitoes, 220 00:08:27,560 --> 00:08:29,597 the population grew three times as fast, 221 00:08:29,597 --> 00:08:30,899 as when there were a thousand. 222 00:08:30,899 --> 00:08:32,243 Then there are nine thousand, 223 00:08:32,243 --> 00:08:34,433 at which point it's growing three times as fast, 224 00:08:34,433 --> 00:08:35,874 as when there were three thousand. 225 00:08:35,874 --> 00:08:37,537 And on and on into infinity. 226 00:08:37,537 --> 00:08:39,734 And in this scenario, the mosquitoes are all, 227 00:08:39,734 --> 00:08:41,924 carrying capacity my chitin-covered butt! 228 00:08:41,924 --> 00:08:43,631 There's no stopping us! 229 00:08:43,631 --> 00:08:44,657 But you know what doesn't really happen? 230 00:08:44,672 --> 00:08:46,464 I mean, it can happen for a while. 231 00:08:46,464 --> 00:08:48,832 Humans have been on an exponential growth curve, 232 00:08:48,832 --> 00:08:51,438 since the Industrial Revolution, for example. 233 00:08:51,438 --> 00:08:54,918 Eventually something always knocks the population size back down. 234 00:08:54,918 --> 00:08:56,941 That thing might be a density dependent factor, 235 00:08:56,941 --> 00:08:58,836 like food scarcity or an epidemic. 236 00:08:58,836 --> 00:09:00,273 Or a density independent one, 237 00:09:00,273 --> 00:09:02,656 like an asteroid that takes out the whole continent. 238 00:09:03,086 --> 00:09:06,745 Regardless, this exponential growth curve can't go up forever. 239 00:09:06,745 --> 00:09:08,023 When those factors come into play, 240 00:09:08,023 --> 00:09:11,070 a population experiences only logistic growth. 241 00:09:11,070 --> 00:09:12,634 This means that the population is limited, 242 00:09:12,634 --> 00:09:14,938 to the carrying capacity of its habitat, which, 243 00:09:14,938 --> 00:09:17,428 when you think about it, ain't too much to ask. 244 00:09:17,428 --> 00:09:19,401 See how this graph flattens up at the top? 245 00:09:19,401 --> 00:09:22,583 The factor that creates that plateau is almost always, 246 00:09:22,598 --> 00:09:24,255 a density dependent limitation. 247 00:09:24,255 --> 00:09:27,143 As you add mosquitoes, eventually the rate of population growth, 248 00:09:27,143 --> 00:09:30,040 is going to slow down because they run out of food or space. 249 00:09:30,286 --> 00:09:31,801 When we get to where that number levels off, 250 00:09:31,801 --> 00:09:33,773 that number is the carrying capacity, 251 00:09:33,773 --> 00:09:36,124 of the mosquito population in that particular habitat. 252 00:09:36,524 --> 00:09:38,102 Now, let's apply all of these ideas, 253 00:09:38,102 --> 00:09:40,580 using a simple equation that will allow us, 254 00:09:40,580 --> 00:09:43,451 to calculate the population growth of anything we feel like. 255 00:09:43,635 --> 00:09:46,955 I know it's math, but wake up because this is important. 256 00:09:46,955 --> 00:09:48,932 The city of Dallas is depending on you! 257 00:09:49,362 --> 00:09:52,706 So, let's calculate the growth of Dallas' mosquito population, 258 00:09:52,706 --> 00:09:54,083 over a span of two weeks. 259 00:09:54,329 --> 00:09:57,369 All we have to do to get the rate of growth, that's R, 260 00:09:57,676 --> 00:09:59,995 is take the number of births. 261 00:10:00,995 --> 00:10:03,944 Births minus the number of deaths. 262 00:10:05,468 --> 00:10:08,878 Then divide that all by the initial population size. 263 00:10:11,525 --> 00:10:14,326 Which we generally just call N. 264 00:10:14,326 --> 00:10:16,165 So, let's say we start with an initial population, 265 00:10:16,165 --> 00:10:18,302 of a hundred mosquitoes. 266 00:10:18,302 --> 00:10:20,776 Each of those mosquitoes lives an average of two weeks. 267 00:10:20,776 --> 00:10:24,403 Our deaths, over a span of two weeks, will be one hundred. 268 00:10:24,403 --> 00:10:27,131 Half of these mosquitoes are going to be female, so fifty of them. 269 00:10:27,623 --> 00:10:30,122 They can produce about two thousand babies in their lifetime, 270 00:10:30,122 --> 00:10:31,952 so that's times two thousand. 271 00:10:31,952 --> 00:10:32,777 Ugh! 272 00:10:32,777 --> 00:10:36,283 Fifty mommy mosquitoes times two thousand babies per mommy. 273 00:10:36,283 --> 00:10:41,712 You get births equaling one hundred thousand little baby mosquitoes. 274 00:10:41,712 --> 00:10:43,361 Once we plug in all the numbers into this equation, 275 00:10:43,361 --> 00:10:44,756 even though this is totally a hypothetical, 276 00:10:44,756 --> 00:10:47,705 we will see the true scope of Dallas' mosquito problem. 277 00:10:48,228 --> 00:10:51,118 Blink, in two weeks the population had a hundred thousand babies, 278 00:10:51,118 --> 00:10:53,355 and only a hundred of them died. 279 00:10:53,355 --> 00:10:55,836 This is a population growth rate, if you do the math, 280 00:10:55,836 --> 00:10:57,851 of nine hundred and ninety nine. 281 00:10:57,851 --> 00:10:59,486 This means, that for every mosquito out there, 282 00:10:59,486 --> 00:11:00,365 at the beginning of two weeks, 283 00:11:00,365 --> 00:11:03,221 there will be ninety hundred and ninety nine more, 284 00:11:03,221 --> 00:11:04,354 at the end of two weeks. 285 00:11:04,354 --> 00:11:08,001 That is a ninety nine thousand, eight hundred percent increase. 286 00:11:08,001 --> 00:11:09,503 By Thor's hammer! 287 00:11:09,503 --> 00:11:10,935 Again, these are hypothetical numbers, 288 00:11:10,935 --> 00:11:13,677 but it gives you a sense of how a population, 289 00:11:13,677 --> 00:11:15,094 can just go out of control, 290 00:11:15,094 --> 00:11:17,689 when all the factors we talk about go in its favor. 291 00:11:17,689 --> 00:11:19,621 You guys haven't even seen trouble until you see, 292 00:11:19,621 --> 00:11:22,205 what the graph of human population looks like, 293 00:11:22,205 --> 00:11:24,000 over the last couple millennia.