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There's more over on Veritasium! "What is NOT Random?": 🤍 SOURCES AND MORE BELOW! My twitter: 🤍 My instagram: 🤍 Generate random numbers using atmospheric noise: 🤍 randomness: 🤍 🤍 🤍 🤍 🤍 flipping a coin until 10 heads happen in a row: 🤍 rolling dice until you get a Yahtzee: 🤍 find word in YouTube video URLs with this in Google: allinurl:[your word here] site:youtube.com/watch "Random" as slang: 🤍 🤍 The many sides of dice: 🤍 non-transitive dice: 🤍 Checking the fairness of dice: 🤍 🤍 🤍 🤍 🤍 A fancy super-fair die: 🤍 coin-flipping odds: 🤍 [PDF] 🤍 🤍 a nickel landing on it's side: 🤍 [PDF]: 🤍 a book that will keep you guessing: 🤍 17 'feels' random: 🤍 How to be random (er.. wandom): 🤍 Bell's inequality: 🤍 🤍 🤍 Bell's inequality videos: 🤍 🤍 🤍 You can't even handle how wandom and quirky I am: 🤍 160 Greatest Arnold Schwarzenegger Quotes 🤍
▶ Visit 🤍 to get a 30-day free trial + the first 200 people will get 20% off their annual subscription In this comprehensive exploration of randomness, we delve into its perplexing nature, historical journey, statistical interpretations, and pivotal role in various domains, particularly cryptography. Randomness, an enigmatic concept defying intuition, manifests through seemingly unpredictable sequences like coin flips or digits of pi, yet its true nature is only indirectly inferred through statistical tests. The historical narrative reveals humanity's earliest encounters with randomness in gaming across ancient civilizations, progressing through Greek philosophy, Roman personification, Christian teachings, and mathematical analysis by Italian scholars and luminaries like Galileo, Pascal, and Fermat. Entropy, introduced in the 19th century, unveiled the limits of predictability, especially in complex systems like celestial mechanics. Statistical randomness, derived from probability theory, relies on uniform distribution and independence of events in a sample space. However, its limitation lies in perceivable unpredictability, as exemplified by the digits of pi or coin flips, which exhibit statistical randomness yet remain reproducible given precise initial conditions. Information theory, notably Claude Shannon's work, established entropy as a measure of uncertainty and information content, showcasing randomness as the opposite of predictability in a system. Algorithmic randomness, introduced by von Mises and refined by Kolmogorov, measures randomness through compressibility but faces challenges due to computability. Martin-Löf's work extends this notion by defining randomness based on null sets. The integration of randomness into computer science led to the emergence of randomized algorithms, divided into Las Vegas and Monte Carlo categories, offering computational advantages. Encryption, crucial in modern communications, relies on randomness for secure key generation, facing challenges due to vulnerabilities in pseudorandom algorithms and hardware random number generators. The evolution of cryptography, from DES to AES and asymmetric-key algorithms like RSA, emphasizes the critical role of randomness in securing digital communications. While hardware random number generators harness inherent physical unpredictability, they face challenges regarding auditability and potential vulnerabilities. The future of randomness lies in embedded quantum random number generators, promising heightened security, while encryption algorithms adapt to counter emerging threats posed by quantum computing's properties. This in-depth exploration captures the historical, theoretical, and practical dimensions of randomness, highlighting its significance in diverse fields and its pivotal role in securing modern communications. SUPPORT NEW MIND ON PATREON 🤍
Featuring Simon Pampena... Check out Brilliant (and get 20% off their premium service): 🤍 (sponsor) More links & stuff in full description below ↓↓↓ More coin-related videos: 🤍 More videos with Simon Pampena: 🤍 Simon on Twitter: 🤍 Numberphile is supported by the Mathematical Sciences Research Institute (MSRI): 🤍 We are also supported by Science Sandbox, a Simons Foundation initiative dedicated to engaging everyone with the process of science. 🤍 And support from Math For America - 🤍 NUMBERPHILE Website: 🤍 Numberphile on Facebook: 🤍 Numberphile tweets: 🤍 Subscribe: 🤍 Videos by Brady Haran Animation and editing in this video by Pete McPartlan Patreon: 🤍 Numberphile T-Shirts: 🤍 Brady's videos subreddit: 🤍 Brady's latest videos across all channels: 🤍 Sign up for (occasional) emails: 🤍
Watch over 2,400 documentaries for free for 30 days AND get a free Nebula account by signing up at 🤍 and using the code "upandatom". Once you sign up you'll get an email about Nebula. If you don't get one, contact the curiosity stream support team and they will set you up with a free Nebula account right away. Watch Is Math Invented or Discovered video FREE here 🤍 Nebula: 🤍 This video is about Einstein's Brownian Motion. Hi! I'm Jade. If you'd like to consider supporting Up and Atom, head over to my Patreon page :) 🤍 Visit the Up and Atom store 🤍 Subscribe to Up and Atom for videos about hard stuff explained in a less hard way 🤍 *A big thank you to my AMAZING PATRONS!* Tom Arant, Cy 'kkm' K'Nelson, Ryan Lewis Baron de Ropp, Karsten Nohl, Christopher Robert, Thorsten Auth, Purple Penguin, James Palermo, Mansoor Alabbar, Berj Bannayan, Thomas Krause, Chris Flynn, Jessica Rose, David Johnston, Rick DeWitt, Yana Chernobilsky, Lynn Shackelford, Adam Thornton, Andrew Pann, Anne Tan, Steve Miller, David A. Fortin, Thomas V Lohmeier, Joel Becane, eris esoteric, Artem G., Aaron Dorn, Paul Barclay, Austin Rose, 12tone, Zhong Cheng Wang, Mark, Corey Sampson, John Klinkner, Damien Holloway, Mikely Whiplash, John Lakeman, Jana Christine Saout, George Fletcher, Michael Dean, Chris Amaris, Matt G, KhAnubis, Broos Nemanic, Dag-Erling Smørgrav, John Shioli, Ella Marie Rosenzweig, Joe Court, Todd Loreman, Susan Jones, Mirko Bayer, Courtney Rosenthal, Dominic Riverso, Pamela O'Neill, Joshua Adams, Jeroen Melchiors, Gary Leo Welz, Andrej Zon, Richard, Richard, Gabriele Riva, Marco Pontil, Joseph, Chris Teubert, Dylan Kolstad, Paul Burke, Michael Hunter, Fran, Zen_Monk, Lonnie Elliott, Christopher Milton, Barry Hammock, Joe, Chester Stadler, John Sokolowski, Bruce England, Nick Jackson, Robert J Frey, The Doom Merchant, Richard de Rozario, Christian Czekay, Martin Zenuik, Wolfgang Ripken, Jeremy Bowkett, Vincent Karpinski, Nicolas Frias, Christopher Phipps, Louis M, Julian Engel, kadhonn, ThE rANdoMSTRaNGeR, Moose Thompson, Hal Roseman, Sam Graf, George Xu, Andrew, Tamara McDermott, Charles from USA, Hassan Sedaghat, S, Daniel Eliassen, Rob Napier, Sam Ross, Julian Engel, Kay, Peter Walsh, Osa and Beth Fitch, Garrett Chomka, Raffael Hirt, Jeff Schwarz, Josh B, Zach Tinawi, Bobby Butler, Rebecca Lashua, Pat Gunn, Quentin WATIER, Jasper Capel, Luc Ritchie, Elze Kool, Aditya Anantharaman, Frédéric Junod, Vincent Seguin, Bernard Wei, Paul Bryan, Michael Brunolli, Shawn, Ken Takahashi, Schawn Schoch, Andrew Stott, Stephen Denham, Kaylee, Jesse Clark, Steven Wheeler, Atila Pires dos Santos, Adam J, Tim Sorbera, Michael McCloskey, Philip Freeman, Bogdan Morosanu, Armin Quast, Jareth Arnold, Xiao Fan, Simon Barker, Simon Tobar, Rob Harris, Dennis Haupt, Ammaar Esmailjee, Ginny Liz, Neuroleptic Doug, Marc Watkins, Carsten Berggreen, Lou, amcnea, Dave Mayer, Renato Pereira, Simon Dargaville, Dean Madden, Robert Frieske and Magesh. *Follow me* 🤍upndatom Up and Atom on Twitter: 🤍 Up and Atom on Instagram: 🤍 For a one time donation, head over to my PayPal :) 🤍 *Creator* Jade Tan-Holmes *Script* Simon Morrow simonmorrow.com *Animations* Tom Groenestyn *Music* 🤍 *Sources/Further Reading* 🤍 🤍 🤍 🤍 Brownian Motion and Molecular Reality by M. Jean Perrin 🤍 111 years of Brownian motion (DOI: 10.1039/c6sm01153e) 100 years of Brownian motion (DOI: 10.1063/1.1895505) Brownian Motion, “Diverse and Undulating” 🤍 🤍 🤍 🤍 🤍
Is the future of the universe already determined? Vsauce tackles "What is Random?": 🤍 Special Thanks to: Prof Stephen Bartlett, Prof Phil Moriarty, Prof Andrea Morello, Prof Tim Bedding, Prof Michio Kaku, A/Prof Alex Argyros, Henry Reich, Vanessa Hill, Dianna Cowern, George Ruiz and Mystery Cat. Views expressed in this video are not necessarily those of the amazing experts listed above but their advice was invaluable in making this video. Quantum simulation by PhET: 🤍 Music by Jake Chudnow: 🤍 Amarante Music: 🤍 DNA animations by 🤍 Space animations by NASA Topic inspired by The Information - a history, a theory, a flood by James Gleick Filmed on location at the University of Sydney, Washington DC and LA
There are a lot of events in life that we just can’t predict, but just because something is random doesn’t mean we don’t know or can’t learn anything about it. Today, we’re going to talk about how we can extract information from seemingly random events starting with the expected value or mean of a distribution and walking through the first four “moments” - the mean, variance, skewness, and kurtosis. Note: There are many formulas to calculate skewness and kurtosis (🤍 our formulas deal with what they have in common, their moment generating functions. More on sheep study: 🤍 More on fecal matter study: 🤍 Crash Course is on Patreon! You can support us directly by signing up at 🤍 Thanks to the following Patrons for their generous monthly contributions that help keep Crash Course free for everyone forever: Mark Brouwer, Glenn Elliott, Justin Zingsheim, Jessica Wode, Eric Prestemon, Kathrin Benoit, Tom Trval, Jason Saslow, Nathan Taylor, Divonne Holmes à Court, Brian Thomas Gossett, Khaled El Shalakany, Indika Siriwardena, SR Foxley, Sam Ferguson, Yasenia Cruz, Eric Koslow, Caleb Weeks, Tim Curwick, Evren Türkmenoğlu, D.A. Noe, Shawn Arnold, mark austin, Ruth Perez, Malcolm Callis, Ken Penttinen, Advait Shinde, Cody Carpenter, Annamaria Herrera, William McGraw, Bader AlGhamdi, Vaso, Melissa Briski, Joey Quek, Andrei Krishkevich, Rachel Bright, Alex S, Mayumi Maeda, Kathy & Tim Philip, Montather, Jirat, Eric Kitchen, Moritz Schmidt, Ian Dundore, Chris Peters, Sandra Aft, Steve Marshall Want to find Crash Course elsewhere on the internet? Facebook - 🤍 Twitter - 🤍 Tumblr - 🤍 Support Crash Course on Patreon: 🤍 CC Kids: 🤍
Psychologist and author Steven Pinker explores why humans are so prone to seeing patterns in randomness - and why that can be a problem. Unpick why we can fall for the 'gambler's fallacy' or the 'Texas sharpshooter fallacy' and what we can do about it. Graphics by Michal Biazolej. Made in collaboration with the BBC Radio 4 programme 'Think with Pinker': 🤍 If you liked this video, check out our playlist on how neuroscience can help change the way you think and make you happier 👉 🤍 Subscribe to BBC Ideas 👉 🤍 Do you have a curious mind? You’re in the right place. Our aim on BBC Ideas is to feed your curiosity, to open your mind to new perspectives, and to leave you that little bit smarter. So dive in. Let us know what you think. And make sure to subscribe! 👉🤍 Visit our website to see all of our videos: 🤍 And follow BBC Ideas on Twitter: 🤍 #bbcideas #patterns #randomness
In 2012, scientists developed a system to predict what number a rolled die would land on. Is anything truly random or is it all predictable? Can Game Theory Help A Presidential Candidate Win? - 🤍 Sign Up For The Seeker Newsletter Here - 🤍 Read More: On Fair And Randomness 🤍 "We investigate the relation between the behavior of non-deterministic systems under fairness constraints, and the behavior of probabilistic systems. To this end, first a framework based on computable stopping strategies is developed that provides a common foundation for describing both fair and probabilistic behavior. On the basis of stopping strategies it is then shown that fair behavior corresponds in a precise sense to random behavior in the sense of Martin-Löf's definition of randomness." Predicting A Die Throw 🤍 "Vegas, Monte Carlo, and Atlantic City draw people from around the world who are willing to throw the dice and take their chances. Researchers from the Technical University of Lodz, Poland, have spotted something predictable in the seemingly random throw of the dice." HTG Explains: How Computers Generate Random Numbers 🤍 "Computers generate random number for everything from cryptography to video games and gambling. There are two categories of random numbers - "true" random numbers and pseudorandom numbers - and the difference is important for the security of encryption systems." DNews is dedicated to satisfying your curiosity and to bringing you mind-bending stories & perspectives you won't find anywhere else! New videos daily. Watch More DNews on Seeker 🤍 Subscribe now! 🤍 DNews on Twitter 🤍 Trace Dominguez on Twitter 🤍 DNews on Facebook 🤍 DNews on Google+ 🤍 Discovery News 🤍 Sign Up For The Seeker Newsletter Here: 🤍 Special thanks to Jules Suzdaltsev for hosting DNews! Check Jules out on Twitter: 🤍
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Support the channel by getting Fooled by Randomness by Nassim Taleb here: 🤍 As an Amazon Associate I earn from qualified purchases. 5 great takeaways from Nassim Nicholas Taleb’s Fooled by Randomness – the first book in the Incerto series. A playlist of Nassim Taleb's greatest works: 🤍 Top 5 takeaways: 0:00 Intro 0:46 1. Survivorship Bias 04:12 2. The Skewness Issue 06:33 3. The Black Swan Problem 07:48 4. Pascal’s Wager 09:05 5. The 5 Traits of The Market Fool
David Kaplan explains how the law of increasing entropy could drive random bits of matter into the stable, orderly structures of life. QUANTA MAGAZINE Website: 🤍 Facebook: 🤍 Twitter: 🤍 You can also sign up for our weekly newsletter: 🤍 David Kaplan is a theoretical particle physicist at Johns Hopkins University and a producer of the award-winning documentary Particle Fever. Filming by Tom Hurwitz and Richard Fleming. Editing and motion graphics by Tom McNamara. Music by Podington Bear. Learn more about this new physics theory of life: 🤍 Quanta Magazine is an editorially independent publication launched by the Simons Foundation.
Programs aren't capable of generating true random numbers, so how can we? Are they even useful? Dr Valerio Giuffrida demonstrates how to get a true random number from most computers. 🤍 🤍 This video was filmed and edited by Sean Riley. Computer Science at the University of Nottingham: 🤍 Computerphile is a sister project to Brady Haran's Numberphile. More at 🤍 Thank you to Jane Street for their support of this channel. Learn more: 🤍
GMTK is powered by Patreon - 🤍 From critical hits to random encounters, and from loot boxes to procedural generation, video games are stuffed to bursting with randomness. In this episode, I look at the way randomness is used in games - and why some forms are more contentious than others. = Sources and Resources = - Sources Uncapped Look-Ahead and the Information Horizon | Keith Burgun 🤍 A Study in Transparency: How Board Games Matter | GDC Vault 🤍 GameTek Classic 183 - Input Output Randomness | Ludology 🤍 Why revealing all is the secret of Slay The Spire's success | Rock Paper Shotgun 🤍 Crate | Spelunky Wiki 🤍 Random Generator | Tetris Wiki 🤍 Level Feeling | Spelunky Wiki 🤍 Plan Disruption | Etan Hoeppner 🤍 Fire Emblem True Hit | Serenes Forest 🤍 The Psychology of Game Design (Everything You Know Is Wrong) | GDC Vault 🤍 How Designers Engineer Luck Into Video Games | Nautilus 🤍 Roll for your life: Making randomness transparent in Tharsis | Gamasutra 🤍 12: Into the Breach with Justin Ma | The Spelunky Showlike 🤍 - Additional resources Many faces of Procedural Generation: Determinism | Gamsutra 🤍 Why Our Brains Do Not Intuitively Grasp Probabilities | Scientific American 🤍 How classic games make smart use of random number generation | Gamasutra 🤍 = Chapters = 00:00 - Intro 01:28 - Why we use randomness 03:42 - The information horizon 06:06 - The two types of randomness 08:59 - How input randomness can fail 13:32 - The advantages of output randomness 17:50 - Conclusion = Games Shown = Cuphead (2017) Enter the Gungeon (2016) Octopath Traveler (2018) Mario + Rabbids Kingdom Battle (2017) Griftlands (In Early Access) Dicey Dungeons (2019) Hearthstone (2014) The Binding of Isaac: Rebirth (2014) Darkest Dungeon (2016) Dead Cells (2018) SteamWorld Quest: Hand of Gilgamech (2019) Into the Breach (2018) Spelunky (2012) Armello (2015) Minecraft (2011) Chasm (2018) Downwell (2015) Middle-earth: Shadow of Mordor (2014) No Man's Sky (2016) Celeste (2018) Fortnite (2017) Mario Kart 8 (2014) Super Smash Bros. for Wii U (2014) Tekken 7 (2015) Super Mario Party (2018) Bloodstained: Ritual of the Night (2019) Borderlands 3 (2019) Call of Duty: WWII (2017) Valkyria Chronicles 4 (2018) Civilization V (2010) Wargroove (2019) Plants vs. Zombies (2009) XCOM: Enemy Within (2013) Chess Ultra (2017) Mark of the Ninja (2012) StarCraft II (2010) Slay the Spire (2019) Apex Legends (2019) Civilization IV (2005) XCOM 2 (2016) Overwatch (2016) FTL: Faster Than Light (2012) Card of Darkness (2019) Diablo III (2012) Tetris 99 (2019) Puyo Puyo Tetris (2017) Phoenix Point (2019) Fire Emblem: Three Houses (2019) Tharsis (2016) = Credits = Music from Cuphead OST, by Kristofer Maddigan (🤍 Music from Tharsis OST, Half Age EP, by Weval (🤍 RNGesus original artwork by Dinsdale - 🤍 Super Mario Party - Luigi wins by doing absolutely nothing | Nintendo Unity 🤍 Fire Emblem: Three Houses - New Game Plus Maddening Walkthrough Part 43! | MrSOAP999 🤍 Deadpool 2 © 20th Century Fox Pandemic Card Art © Z-Man Games = Subtitles = Contribute translated subtitles - 🤍
This video was sponsored by Google Want to see how to try this at home with the Google Assistant? Check out this link: 🤍 My “Hey Google, it’s science time” routine: -Google Home tells a daily chemistry fact -Fans turn on -Lights hanging over main workspace turn on -A screen goes up to reveal a whiteboard -Plasma ball turns on -Shelf lighting turns The Google Assistant is available on Android and iOS phones, Google Home products, and for use with select smart devices. Sequences shortened and simulated. Google Assistant Routines are created by the user and do not immediately exist as presented in this video. Working internet and wifi required. In this video I show you the difference between randomness and chaos. Then I show you how we can actually predict both randomness and chaos by using statistics. Get your Action Lab Box Now! 🤍 Follow me on Twitter: 🤍 Facebook: 🤍 My Other Channel: 🤍 For more awesome videos checkout: What Happens if You Focus a 5W Laser With a Giant Magnifying Glass? Negative Kelvin Temperature! 🤍 Darker Than Vantablack—Absorbs 99.9923% of Light 🤍 Amazing experiment actually makes black fire 🤍 Crushing My Own Hand In a Hydraulic Press—Crazy Experiment on My Brain 🤍 What Does a 4D Ball Look Like in Real Life? Amazing Experiment Shows Spherical Version of Tesseract 🤍 How I Made an Ant Think It Was Dead—The Zombie Ant Experiment 🤍 What Happens if You Open a Vacuum Chamber Under Water? And Do Vacuums Float? 🤍 Can Light be Black? Mind-Blowing Dark Light Experiments! 🤍 Mirror-Polished Japanese Foil Ball Challenge Crushed in a Hydraulic Press-What's Inside? 🤍 Mixing the World's Blackest Paint With the World's Brightest Paint (Black 2.0 vs LIT) 🤍 Is it Possible to Unboil an Egg? The Amazing Uncooking Experiment! 🤍 What if You Try To Lift a Negative Mass? Mind-Blowing Physical Impossibility! 🤍 What Does a Giant Monster Neodymium Magnet do to a Mouse? 🤍 The Worlds Blackest Black vs The Worlds Brightest Flashlight (32,000 lumen)—Which Will Win? 🤍 How Much Weight Can a Fly Actually Lift? Experiment—I Lassoed a Fly! 🤍 DISCLAIMER: Any experiment you try is at your own risk
Most of us understand the basic concepts of randomness, but we are no good at generating or detecting it. Learn how to build your own pseudo-random number generator and where to access true randomness in this episode of Draw Curiosity! I also gave this talk at the FameLab Oxford Regional Finals - you can watch my live performance here: ➢ vimeo: 🤍 ➢ YouTube: 🤍 Special thanks to Colin Silvester, who filmed and edited my live performance, and ScienceOxford for organising the show. Read the full blogpost here: ➢ [EN] 🤍 ➢ [SP] 🤍 Acknowledgements and other links: Art & Design ➢ Channel Art & Character Design: Caro Waro 🤍 ➢ Intro & Outro Animation: Cristina de Manuel 🤍 Audio ➢ Soundtrack: CryoSleepKitten 🤍 ➢ Intro & Outro: Thastor 🤍 Subscribe for regular fun science! ➢ 🤍 Check out the website behind this channel! ➢ 🤍 Follow me on social media: ➢ 🤍 ➢ 🤍 ➢ 🤍 Business e-mail: ➢ Visit YouTube about page or contact page on website and fill in captcha. THE GEAR I USE: ➢ Camera Canon 650D (US): 🤍 ➢ Lenses Canon 50mm F1.8 (US): 🤍 Opteka 0.2x Fish-eye + Macro attachment (US): 🤍 ➢ Microphone SmartLav+ (US): 🤍 Tascam DR-40 External Recorder: 🤍
Go to 🤍 to get 20% off of an annual Premium subscription! Randomness is important for all kinds of things, from science to security, but to generate true randomness, engineers have turned to some pretty odd tricks! Hosted by: Stefan Chin Head to 🤍 for hand selected artifacts of the universe! Support SciShow by becoming a patron on Patreon: 🤍 Dooblydoo thanks go to the following Patreon supporters: Lazarus G, Sam Lutfi, D.A. Noe, الخليفي سلطان, Piya Shedden, KatieMarie Magnone, Scott Satovsky Jr, Charles Southerland, Patrick D. Ashmore, charles george, Kevin Bealer, Chris Peters Looking for SciShow elsewhere on the internet? Facebook: 🤍 Twitter: 🤍 Tumblr: 🤍 Instagram: 🤍 Sources: 🤍 🤍 🤍 🤍 🤍 🤍 🤍 🤍 🤍 🤍 🤍 🤍 🤍 🤍 🤍 🤍 🤍 🤍 🤍 🤍 🤍 Images: 🤍 🤍 🤍
Our brains are not good at dealing with randomness and prefer causal explanations of observed phenomena. In his talk “Math and the art of describing randomness “, Stephan Dreiseitl will tell you how we can recognize patterns in randomness to deal with uncertainty. As a teenager, Stephan Dreiseitl received a Commodore 64. Ever since then, he has been fascinated by computers. An early infatuation with computer games lead to a more mature interest in mathematics and artificial intelligence. After receiving a PhD and doing a postdoc in biomedical informatics, he is now a professor at the Hagenberg campus of the FH Upper Austria. He loves teaching mathematics and statistics as tools for structured and abstract thinking, skills he considers essential for a wide variety of computer-related activities. On the research side, he is interested in machine learning and its application in decision support tools. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at 🤍
Miriam Lancewood lived with her husband Peter for seven years in the wilderness of New Zealand. They left civilisation in 2010 and walked into the mountains with not much more than a backpack. They roamed around like nomads, slept in a tent, cooked on a fire and Miriam learned to hunt with bow and arrow. Their observations and experiences are unique in this technological world. Since Miriam met Peter in 2006, they have been nomadic and lived and traveled in many different countries. At present they are in the Rodopi mountains in Bulgaria, east Europe. Miriam's memoir 'Woman in the Wilderness', became an international Bestseller. In 2020 the sequel 'Wild at heart' came out, and in 2023 she co-edited a new publication called 'Wilder Journeys'. Check miriamlancewood.com for more information. If you'd like to be informed about courses, news and updates, please subscribe to the newsletter on the website under "Contact". Watch Miriam and Peter featured in "Ben Fogle, Return to the wild" (April 2023) click here: 🤍
⭐️ Donate $5 to help keep these videos FREE for everyone! Pay it forward for the next viewer: 🤍 Can science explain the order we find in the world, without God? Is the universe and all the things in it the result of an absolutely random and absolutely unguided process? Are we ourselves the result of such a process? Fr. Dominic Legge, O.P., a Dominican friar from the Province of St. Joseph, weighs in on randomness, chance, and divine providence. Randomness, Chance, and Divine Providence (Aquinas 101) - Fr. Dominic Legge, O.P. For readings, podcasts, and more videos like this, go to 🤍. While you’re there, be sure to sign up for one of our free video courses on Aquinas. And don’t forget to like and share with your friends, because it matters what you think! Subscribe to our channel here: 🤍 Aquinas 101 is a project of the Thomistic Institute that seeks to promote Catholic truth through short, engaging video lessons. You can browse earlier videos at your own pace or enroll in one of our Aquinas 101 email courses on St. Thomas Aquinas and his masterwork, the Summa Theologiae. In these courses, you'll learn from expert scientists, philosophers, and theologians—including Dominican friars from the Province of St. Joseph. Enroll in Aquinas 101 to receive the latest videos, readings, and podcasts in your email inbox each Tuesday morning. Sign up here: 🤍 Help us film Aquinas 101! Donate here: 🤍 Want to represent the Thomistic Institute on your campus? Check out our online store! Explore here: 🤍 Stay connected on social media: 🤍 🤍 🤍 Visit us at: 🤍 #Aquinas101 #ThomisticInstitute #ThomasAquinas #Catholic #ScienceAndFaith #ScienceAndReligion This video was made possible through the support of grant #61944 from the John Templeton Foundation. The opinions expressed in this publication are those of the author(s) and do not necessarily reflect the views of the John Templeton Foundation.
The Biggest Ideas in the Universe is a series of videos where I talk informally about some of the fundamental concepts that help us understand our natural world. Exceedingly casual, not overly polished, and meant for absolutely everybody. This is Idea #19, "Probability and Randomness." In which we accept that none of us is Laplace's Demon, and in the real world we act under conditions of incomplete information, necessitating a turn to probabilistic reasoning. We talk a bit about what that it, how it works, and how it applies to statistical mechanics. My web page: 🤍 My YouTube channel: 🤍 Mindscape podcast: 🤍 The Biggest Ideas playlist: 🤍 Blog posts for the series: 🤍 Background image: 🤍 #science #physics #ideas #universe #learning #cosmology #philosophy #probability #bayes
Life is a game of chance. We often like to believe that we are the masters of our fate, when quite frankly you never really know what’s going to happen. Most of the time, we have very little control over the hand we're dealt in life – so press play and enjoy the ride! Florian Aigner is a physicist and science journalist based in Vienna, Austria. With his unique ability to explain complicated things in a clear way, he uses a broad variety of media such as specialist journals, newspapers and texts for children, in his attempt to combat pseudo-science. In spite of an overall great popularity of so-called pseudo-sciences, they are often based on exoteric claims that cannot be upheld through scientific evidence. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at 🤍
David Bismark gives a short and poetic talk on the rarity of true randomness. A lot of the time what seems random is based on probability and comparative deductions, but pure randomness can only be found in nature. TEDArchive presents previously unpublished talks from TED conferences. Enjoy this unedited talk by David Bismark. Filmed at TEDGlobal University 2012. NOTE: Comments are disabled on this video. We made this difficult decision for the TED Archive because we believe that a well-moderated conversation allows for better commentary from more people and more viewpoints. Studies show that aggressive and hateful comments silence other commenters and drive them away; unfortunately, YouTube's comment moderation tools are simply not up to the task of allowing us to monitor comments on so many videos at once. (We'd love to see this change, YouTube.) So for now, if you'd like to comment on this talk, please use Facebook, Twitter or G+ to discuss with your networks.
How is quantum randomness anymore mysterious than the randomness of a coin flip? You'll see. The homework questions and extra readings are below: The questions: 1. What if there are three slits and you only have a detector at one. What does the wavefunction of a particle that goes through look like before and after? 2. The second question is about what counts as a measurement. I kind of implied that interactions with air and light count as measurements. Do you think all interactions count? 3. What about if a machine does a measurement and then, without storing it in memory, prints the result, and burns it. Is the wavefunction still collapsed? 4. And finally one about interpretations. What do you think of quantum randomness? Do you understand why physicists had problems with it? As you may know, there are hidden variable alternatives to Quantum mechanics that don’t have true randomness does this make them more appealing? Are there any issues with hidden variables? Citations and extra reading! -Check out this remarkable video on the 'randomness' of coin flips: 🤍 -Also check out this great videos by Veritasium and Vsauce on this exact issue of apparent randomness (versus true randomness): 🤍 and 🤍 -If you want to know how to do really sophisticated stuff with the ideas touched on in the video, I highly recommend Ch 3 of Vol III of the Feynman Lectures. 🤍 -Einstein's quote in full is: "As I have said so many times, God doesn't play dice with the world." .... At least according to wikiquote: 🤍
In this video I cover the first book written by Nassim Nicholas Taleb. To become a good decision maker one needs to be aware of biases that distort our world view. But first of all - how to evaluate if a decision is good or bad? The video covers the Hindsight Bias, Survivorship Bias, First Principle Thinking, frequency & magnitude of decisions as well as the traits of the market fool. Make sure to subscribe for more in-depth videos around entrepreneurship, learning, Bitcoin and more. Follow me on Twitter: 🤍 Or Instagram: 🤍 The video is based on: Nassim Nicholas Taleb, Fooled by Randomness - he hidden role of chance in life and in the markets My productivity software: 🤍 Background music: 🤍 Chapters: 0:00 About Taleb, Summary & Incerto 3:05 Alternative Histories 3:45 Magnitude & Frequency 5:00 Hindsight Bias 5:46 Survivorship Bias 8:28 First Principle Thinking 10:35 Traits of the market fool
Randomness exhibited by games of chance, such as coin-tossing and dice-throwing, stems from our ignorance of physical information in the initial toss or throw. However, in the case of measuring the state of a quantum system, as explained by IBM quantum computing research scientist Antonio Corcoles Gonzalez, the randomness does not stem from any such lack of physical information, but the inherent indeterminacy in measurement. Learn more at 🤍
In an exploration of this year's University of Washington's Common Book, "The Meaning of it All" by Richard Feynman, guest lecturer Persi Diaconis, mathematician and magician, discusses the connections between his work and Feynman's physics. What are the physics of coin tossing? What does it mean to be random? How can we use randomness to understand the world around us and how do you make decisions in the face of uncertainty? In this enlightening talk, Diaconis exposes how mathematical thinking makes the world come alive and how simple questions can unravel what we thought we knew.
Does anything happen by chance? Not according to probability theory. Even the randomness of rolling of a six at dice can be calculated. Philosopher Luc de Branbandère guides us through the history of mathematics, from Egyptians measuring with the Sun to modern algorithms for self-driving cars. Find out more: 🤍 🤍 #Science #Mathematics #Probability Don't miss our next episode on Saturday 18/04 - 10 AM (CEST) WHAT MAKES IT TICK? We want to bring European science & tech to the world. Why do things work the way they do? How has science & technology made in Europe changed the world? Join our community of science and tech lovers to find out. We all want to know how we got where we are today and where we go from here. The answers to these questions form a big jigsaw puzzle. With our stories on European science and tech, we want to help piece it together one video at a time. 🔔 Subscribe here for weekly new videos: - 🤍 🔥 Here are the most popular playlists: - The Hidden World of Mathematics: 🤍 - How Love Makes Us Human: 🤍 - Amazing Tech you can wear: 🤍 - Cryptography & Cybersecurity: 🤍 - Everything you need to know about 5G: 🤍 - The Universe:🤍 🐾 Make some friends on our community: - Facebook page: 🤍 - Twitter: 🤍 - Instagram: 🤍 - Website: 🤍 📩 Let’s brainstorm together: - Topic suggestion: info🤍huawei.eu This channel is a part of our commitment to making the world a better place by sharing knowledge, stimulating critical thinking and spreading the word about amazing European science, technology and ground-breaking innovations.
What does it mean for something to be "random"? We might have an intuitive idea for what randomness looks like, but can we be a bit more precise about our definition for what we would consider to be random? It turns out there are multiple definitions for what's random and what isn't, but a particularly interesting idea is that of Kolmogorov randomness. Here, we take a look at Kolmogorov randomness (defined in terms of Kolmogorov complexity) to understand what the intuition behind it is and to develop a sense for what it really means for a sequence of values to be random. 0:00 Randomness 1:18 Kolmogorov Complexity 3:52 Kolmogorov Randomness * Spanning Tree is an educational video series about computer science and mathematics. See more at 🤍 To be notified when a new video is released, sign up for the Spanning Tree mailing list at 🤍 Spanning Tree is created by Brian Yu. 🤍 Email me at brian🤍spanningtree.me to suggest a future topic.
Lex Fridman Podcast full episode: 🤍 Please support this podcast by checking out our sponsors: - Athletic Greens: 🤍 and use code LEX to get 1 month of fish oil - The Information: 🤍 to get 75% off first month - Four Sigmatic: 🤍 and use code LexPod to get up to 60% off - BetterHelp: 🤍 to get 10% off GUEST BIO: Silvio Micali is a computer scientist at MIT, Turing award winner, and founder of Algorand. PODCAST INFO: Podcast website: 🤍 Apple Podcasts: 🤍 Spotify: 🤍 RSS: 🤍 Full episodes playlist: 🤍 Clips playlist: 🤍 SOCIAL: - Twitter: 🤍 - LinkedIn: 🤍 - Facebook: 🤍 - Instagram: 🤍 - Medium: 🤍 - Reddit: 🤍 - Support on Patreon: 🤍
Lecture for a general audience: Terence Tao is UCLA's Collins Professor of Mathematics, and the first UCLA professor to win the prestigious Fields Medal. Less than a month after winning the Fields Medal, Tao was named a MacArthur Fellow. The following month, Tao was named one of "The Brilliant 10" scientists by Popular Science magazine, which called him "Math's Great Uniter" and said that "to Tao, the traditional boundaries between different mathematical fields don't seem to exist." His Colloquium is titled "Structure and Randomness in the Prime Numbers." The UCLA Science Faculty Research Colloquium Series is designed to promote interdisciplinary research. The Series is sponsored by the Divisions of Life and Physical Sciences, UCLA College. *Edit: For the question posed at [43:37], the word "Inters" should be "Integers"
Using radioactive material to generate random numbers... Subscribe to our new channel COMPUTERPHILE here - 🤍 More links & stuff in full description below ↓↓↓ This video features James Clewett. Extra video about what happened next with our Strontium random numbers at 🤍 And the Greek extra bit is at 🤍 NUMBERPHILE Website: 🤍 Numberphile on Facebook: 🤍 Numberphile tweets: 🤍 Subscribe: 🤍 Videos by Brady Haran Patreon: 🤍 Brady's videos subreddit: 🤍 Brady's latest videos across all channels: 🤍 Sign up for (occasional) emails: 🤍 Numberphile T-Shirts: 🤍 Other merchandise: 🤍
Stanford Statistics and Mathematics professor Persi Diaconis talks about how our notion of "randomness" can vary depending how much information you know. With perfect knowledge an event is not random, but we use randomness to account for all the factors or uncertainty that make an event unpredictable. From Program 15 of the Against All Odds series, 🤍
Skill should be the determining factor in Esports, but many competitive games include a random element such as critical strike chance or card draw that can change the outcome of a match. Subscribe for new episodes every Wednesday! 🤍 (-More below) _ Get your Extra Credits gear at the store! 🤍 Play games with us on Extra Play! 🤍 Watch more episodes from this season of Extra Credits! 🤍 Contribute community subtitles to Extra Credits: 🤍 Talk to us on Twitter (🤍ExtraCreditz): 🤍 Follow us on Facebook: 🤍 Get our list of recommended games on Steam: 🤍 _ Would you like James to speak at your school or organization? For info, contact us at: contact🤍extra-credits.net _ ♪ Intro Music: "Penguin Cap" by CarboHydroM 🤍 ♪ Outro Music: "Project M" by Benjamin Briggs 🤍
Please stop asking. Watch this video, and be enlightened! :)
As we face the world of uncertainty every day, we hope for the best outcome, i.e. we hope to be lucky. But could we rationalize luck? This talk is on the human endeavour to rationalize luck by quantifying it, and to use information to take advantage of it, especially on a type of deterministic system that exhibits randomness via chaos. Lock Yue is an Assistant Professor in the Division of Physics and Applied Physics, School of Physical and Mathematical Sciences, Nanyang Technological University. In the spirit of ideas worth spreading, TEDx is a program of local, self-organized events that bring people together to share a TED-like experience. At a TEDx event, TEDTalks video and live speakers combine to spark deep discussion and connection in a small group. These local, self-organized events are branded TEDx, where x = independently organized TED event. The TED Conference provides general guidance for the TEDx program, but individual TEDx events are self-organized.* (*Subject to certain rules and regulations)
In this video Emiel explains the concept of randomness. You learn how humans deal with randomness and about the concepts of gambler's fallacy and apophenia. This course consists of seven modules and each module has several videos. To find the right module, go to our account 🤍Research Methods and Statistics and click on Playlists, or view them below. MODULE 3: PROBABILITY 3.1 Randomness: 🤍 3.2 Probability: 🤍 3.3 Sample space, event, probability and tree diagram: 🤍 3.4 Quantifying probabilities with tree diagram: 🤍 3.5 Basic set-theoretic concepts: 🤍 3.6 Practice with sets: 🤍 3.7 Union: 🤍 3.8 Joint and marginal probabilities: 🤍 3.9 Conditional probability: 🤍 3.10 Independence between random events: 🤍 3.11 More conditional probability, decision trees and Bayes' Law: 🤍 BASIC STATISTICS: MODULES 1. Exploring Data: 🤍 2. Correlation and Regression: 🤍 3. Probability: 🤍 4. Probability Distributions: 🤍 5. Sampling Distributions: 🤍 6. Confidence Intervals: 🤍 7. Significance Tests: 🤍 Follow our account 🤍Research Methods and Statistics for more modules and courses!