This week, we're continuing our discussion of heroes by talking about Gilgamesh, star of one of the earliest written hero stories, The Epic of Gilgamesh. Gilgamesh was a terrible ancient king who left his kingdom seeking adventure, and eventually on the prowl for immortality. Along the way, he checks pretty much all the boxes on the checklist of Joseph Campbell's Hero's Journey.

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In which John Green ACTUALLY teaches about the Civil War. In part one of our two part look at the US Civil War, John looks into the causes of the war, and the motivations of the individuals who went to war. The overarching causes and the individual motivations were not always the same, you see. John also looks into why the North won, and whether that outcome was inevitable. The North's industrial and population advantages are examined, as are the problems of the Confederacy, including its need to build a nation at the same time it was fighting a war. As usual, John doesn't get much into the actual battle by battle breakdown. He does talk a little about the overarching strategy that won the war, and Grant's plan to just overwhelm the South with numbers. Grant took a lot of losses in the latter days of the war, but in the end, it did lead to the surrender of the South. If you want to learn more about the Civil War, we recommend these books:
Battle Cry of Freedom by James McPherson
The Civil War by Shelby Foote

Hey teachers and students - Check out CommonLit's free collection of reading passages and curriculum resources to learn more about the events of this episode. There were many causes of the American Civil War and events that led to disunion: https://www.commonlit.org/text....s/causes-of-the-amer
Once the war started, its outcome was determined by the different abilities and resources of the divided North and South: https://www.commonlit.org/text....s/a-nation-divided-n

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As we wrap up Crash Course Philosophy, we’re using the things we’ve learned to explore big issues like the value of life. Today, we’re discussing abortions in cases of fetal abnormality, assisted suicide, and euthanasia. We will consider the standard of substituted judgment and the values people hold on both sides of these issues—values about the sacredness of life, and the importance of a life of quality, as well as the values of personal liberty and avoiding pain.

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Massive stars fuse heavier elements in their cores than lower mass stars. This leads to the creation of heavier elements up to iron. Iron robs critical energy from the core, causing it to collapse. The shock wave, together with a huge swarm of neutrinos, blast through the star’s outer layers, causing it to explode. The resulting supernova creates even more heavy elements, scattering them through space. Also, happily, we’re in no danger from a nearby supernova.

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Table of Contents
Massive Stars Fuse Heavier Elements Up To Iron 1:15
Iron Uses High Amounts of Energy, Thus Making Stars Collapse 3:58
The Resulting Supernova Creates Even Heavier Elements 10:00
Relax, Something Else Will Kill You 9:04

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PHOTOS/VIDEOS
Blowing Bubbles http://chandra.harvard.edu/res....ources/animations/pn [credit: NASA/CXC/April Jubett]
The Sizes of Stars http://www.eso.org/public/images/eso1030c/ [credit: ESO/M. Kornmesser]
Red giants https://commons.wikimedia.org/....wiki/File:Redgiants. [credit: Wikimedia Commons]
Alpha Orionis http://imgsrc.hubblesite.org/h....u/db/images/hs-1996- [credit: A. Dupree (CfA), NASA, ESA]
Sun and VY Canis Majoris https://commons.wikimedia.org/....wiki/File:Sun_and_VY [credit: Wikimedia Commons]
Witch Head Nebula and Rigel http://www.deepskycolors.com/a....rchive/2009/11/16/wi [credit: Rogelio Bernal Andreo]
Layers of a massive star https://en.wikipedia.org/wiki/....User:FT2/scc#/media/ [credit: Wikimedia Commons]
NASA's Swift Reveals New Phenomenon in a Neutron Star http://www.nasa.gov/mission_pa....ges/swift/bursts/new [credit: NASA's Goddard Space Flight Center]
What is a black hole? http://www.nasa.gov/audience/f....orstudents/k-4/stori [credit: NASA/CXC/M.Weiss]
The Death of Stars http://www.spacetelescope.org/....videos/hubblecast52a [credit: ESA/Hubble]
Giant Mosaic of the Crab Nebula http://www.nasa.gov/multimedia..../imagegallery/image_ [credit: NASA, ESA, J. Hester (Arizona State University)]
Hubble and Chandra spot a celestial bauble http://www.spacetelescope.org/images/heic1018b/ [credit: NASA, ESA, the Hubble Heritage Team (STScI/AURA), and NASA/CXC/SAO/J. Hughes]
Vela Supernova Remnant http://www.glitteringlights.co....m/Images/Nebulae/i-p [credit: Marco Lorenzi]
Spica [credit: Phil Plait]
Cassiopeia A https://en.wikipedia.org/wiki/....Cassiopeia_A#/media/ [credit: Oliver Krause (Steward Observatory) George H. Rieke (Steward Observatory) Stephan M. Birkmann (Max-Planck-Institut fur Astronomie) Emeric Le Floc'h (Steward Observatory) Karl D. Gordon (Steward Observatory) Eiichi Egami (Steward Observatory) John Bieging (Steward Observatory) John P. Hughes (Rutgers University) Erick Young (Steward Observatory) Joannah L. Hinz (Steward Observatory) Sascha P. Quanz (Max-Planck-Institut fur Astronomie) Dean C. Hines (Space Science Institute)]
Sloshing Supernova http://svs.gsfc.nasa.gov/cgi-b....in/details.cgi?aid=1 [credit: NASA's Goddard Space Flight Center Video and images courtesy of NASA/JPL-Caltech]
Star Burst http://svs.gsfc.nasa.gov/cgi-b....in/details.cgi?aid=1 [credit: NASA's Goddard Space Flight Center Video courtesy of ESA/Hubble/L. Calcada]

How do astronomers make sense out of the vastness of space? How do they study things so far away? Today Phil talks about distances, going back to early astronomy. Ancient Greeks were able to find the size of the Earth, and from that the distance to and the sizes of the Moon and Sun. Once the Earth/Sun distance was found, parallax was used to find the distance to nearby stars, and that was bootstrapped using brightness to determine the distances to much farther stars.

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Table of Contents
Ancient Greeks Finding the Size of the Earth 1:07
Earth/Sun Distance Began Our Use of Parallax 5:39
Brightness Relation to Distance 9:07

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PHOTOS/VIDEOS
Lunar Ecplise http://www.slate.com/content/d....am/slate/blogs/bad_a [credit: Phil Plait]
Venus & Mercury [credit: Phil Plait]
Venus Transit https://www.youtube.com/watch?v=34mXua1n_FQ [credit: NASA]
Black Drop Venus Transit https://en.wikipedia.org/wiki/....Black_drop_effect#me [credit: Wikimedia Commons, H. Raab, Johannes-Kepler-Observatory]
New Horizons Approaching Pluto and Charon https://en.wikipedia.org/wiki/....New_Horizons#/media/ [credit: NASA/JHU APL/SwRI/Steve Gribben]
Radio Telescopes Diagram http://scitechdaily.com/images..../Radio-Telescopes-Se [credit: Alexandra Angelich, NRAO/AUI/NSF]
61 Cygni https://archive.stsci.edu/cgi-bin/dss_search?v=poss1_red&r=21+06+54.60&d=%2B38+44+44.9&e=J2000&h=30&w=30&f=gif&c=none&fov=NONE&v3= [credit: Caltech / National Geographic Society / STScI]
Proxima Centauri https://www.spacetelescope.org/images/potw1343a/ [credit: ESA/Hubble & NASA]
Dying Star http://www.nasa.gov/images/con....tent/64884main_image [credit: NASA, ESA, HEIC, and The Hubble Heritage Team (STScI/AURA)]
Exploding Star http://www.nasa.gov/multimedia..../imagegallery/image_ [credit: NASA, ESA, J. Hester, A. Loll (ASU)]
Animation of a Variable Star http://www.spacetelescope.org/videos/heic1323j/ [credit: NASA, ESA, M. Kornmesser]
Hubble's High-Definition Panoramic View of the Andromeda Galaxy http://hubblesite.org/newscent....er/archive/releases/ [credit: NASA, ESA, J. Dalcanton, B.F. Williams, and L.C. Johnson (University of Washington), the PHAT team, and R. Gendler]

Today we are taking all the things we have learned this year about doing philosophy and applying that to moral considerations regarding non-human animals. We’ll explore what philosophers like Peter Singer and Carl Cohen have to say about their use, including the concept of equal consideration of interests.

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All other images and video either public domain or via VideoBlocks, or Wikimedia Commons, licensed under Creative Commons BY 4.0: https://creativecommons.org/licenses/by/4.0/

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Hello, world! Welcome to Crash Course Computer Science! So today, we’re going to take a look at computing’s origins, because even though our digital computers are relatively new, the need for computation is not. Since the start of civilization itself, humans have had an increasing need for special devices to help manage laborious tasks, and as the scale of society continued to grow, these computational devices began to play a crucial role in amplifying our mental abilities. From the abacus and astrolabe to the difference engine and tabulating machine, we’ve come a long way to satisfying this increasing need, and in the process completely transformed commerce, government, and daily life.

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If you want to make a movie, generally you're going to want to start with a script. In this episode of Crash Course Film Production, Lily Gladstone talks about the basics of screenplays and how to get started thinking about and actually writing your movie.

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***

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Hank tells us the background story and explains the importance of the science of classifying living things, also known as taxonomy.

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References for this episode can be found in the Google document here: http://dft.ba/-2L2C

Table of Contents
1) Taxonomy 0:00
2) Phylogenetic Tree 1:24
3) Biolography 2:26
4) Analogous/Homoplasic Traits 3:48
5) Homologous Traits 4:03
6) Taxa & Binomial Nomenclature 4:56
7) Domains 5:48
a) Bateria 6:04
b) Archaea 6:44
c) Eukarya / 4 Kingdoms 6:54
-Plantae 7:56
-Protista 8:23
-Fungi 8:56
-Animalia 9:31

taxonomy, classification, classifying, evolution, filing, science, biology, life, organism, relationship, ancestor, ancestry, evolutionary tree, phylogenetic tree, tree of life, biolography, carl von linnaeus, linnaeus, botanist, botanical name, morphology, homologous traits, systema naturae, taxa, groups, kingdom, phylum, class, order, family, genus, species, binomial nomenclature, latin, domain, archaea, eukarya, division, autotrophs, heterotrophs, protist, fungi, animalia, animal, cat, kitty Support CrashCourse on Subbable: http://subbable.com/crashcourse

Our exploration of ethical theories continues with another theistic answer to the grounding problem: natural law theory. Thomas Aquinas’s version of this theory says that we all seek out what’s known as the basic goods and argued that instinct and reason come together to point us to the natural law. There are, of course, objections to this theory – in particular, the is-ought problem advanced by David Hume.


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So now that we’ve built and programmed our very own CPU, we’re going to take a step back and look at how CPU speeds have rapidly increased from just a few cycles per second to gigahertz! Some of that improvement, of course, has come from faster and more efficient transistors, but a number hardware designs have been implemented to boost performance. And you’ve probably heard or read about a lot of these - they’re the buzz words attached to just about every new CPU release - terms like instruction pipelining, cache, FLOPS, superscalar, branch prediction, multi-core processors, and even super computers! These designs are pretty complicated, but the fundamental concepts behind them are not. So bear with us as we introduce a lot of new terminology including what might just be the best computer science term of all time: the dirty bit. Let us explain.

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In which John Green and Hank Green teach you about how human primates moved out of Africa and turned Earth into a real-life Planet of the Apes. And the apes are people! John and Hank teach you about how humans evolved, and the sort of tricks they picked up along the way like complex tool use, big brains, and fighting. Our ancestors adapted to the grasslands of Africa, and went through several iterations including Australopithecus, Homo Habilis, and Homo Ergaster/Erectus. Our ancestors tamed fire, made pressure flake tools, and eventually smartphones.

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Today, we’re going to take a look at how computers use a stream of 1s and 0s to represent all of our data - from our text messages and photos to music and webpages. We’re going to focus on how these binary values are used to represent numbers and letters, and discuss how our need to perform operations on larger and more complex values brought us from our 8-bit video games to beautiful Instagram photos, and from unreadable garbled text in our emails to a universal language encoding scheme.


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Today we're going to start our two-part unit on data visualization. Up to this point we've discussed raw data - which are just numbers - but usually it's much more useful to represent this information with charts and graphs. There are two types of data we encounter, categorical and quantitative data, and they likewise require different types of visualizations. Today we'll focus on bar charts, pie charts, pictographs, and histograms and show you what they can and cannot tell us about their underlying data as well as some of the ways they can be misused to misinform.

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Why is it hard to move a heavy bookcase across a carpeted floor? And why is it easier to keep it moving than it was to get it started moving? You might think it's all about weight, but actually it's about friction. Two kinds of friction! In today's episode of Crash Course Physics, Shini Somara tells us about Static and Kinetic friction; how they work and how they're different.


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Historians love to debate each other. So some of them pointed out that the first half of this revolution looks a lot different from the second. Let's chat about industry, cars, and Henry Ford.

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For as long as Hank has hosted Crash Course, he's wanted to host a series about the history of science. We've been asking big questions for a really long time and we've all wanted to explore how we've sought to answer those questions through the centuries. Questions like, "What is stuff?" and "Where are we?" have inspired people all over the world to investigate. So lets dive in and see how we, as a people, have tried to figure this stuff out.

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Algorithms are the sets of steps necessary to complete computation - they are at the heart of what our devices actually do. And this isn’t a new concept. Since the development of math itself algorithms have been needed to help us complete tasks more efficiently, but today we’re going to take a look a couple modern computing problems like sorting and graph search, and show how we’ve made them more efficient so you can more easily find cheap airfare or map directions to Winterfell... or like a restaurant or something.

Ps. Have you had the chance to play the Grace Hopper game we made in episode 12. Check it out here! http://thoughtcafe.ca/hopper/

CORRECTION:
In the pseudocode for selection sort at 3:09, this line:
swap array items at index and smallest
should be:
swap array items at i and smallest

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Join Jay Smooth next week for the start of our next miniseries: Crash Course Media Literacy!

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http://www.illdoctrine.com


***

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Always wanted to do a "Top (insert number) Beginning Filmmaking Mistakes" video of my own. I finally settled on one. No, I mean one, as is 1.

LINKS MENTIONED:
D4Darious - Top 15 Mistakes Beginner Filmmakers Make: https://youtu.be/t1myw_0W5E8
Simon Cade - 5 Filmmaking Mistakes to Avoid: https://youtu.be/PMEdvqw9WME

MORE MISTAKE VIDEOS:
Tom Antos - Top 10 Mistakes Beginner Filmmakers Make: https://youtu.be/Q9254w8H3So
iam Your Ex - Top 5 Filmmaking Mistakes Beginner Filmmaker Makes: https://youtu.be/IDF1AZlk18o
Film Riot: Film Continuity & Movie Mistakes!: https://youtu.be/_3vQQ3ntVY4
Film Courage: Foolish Mistakes I've Seen Other Filmmakers Make by Paul Osborne: https://youtu.be/k8rGc2mPdW8

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