Podcasts about be wrong the power

Episode SummaryIn this episode of OnBase, host Chris Moody sits down with Abhishek Damani to discuss the critical role of aligning sales performance metrics with broader business goals. They explore why traditional sales metrics sometimes fall short and how companies can define KPIs that reflect strategic priorities.Abhishek also shares his structured four-step approach for identifying and tracking performance indicators, along with insights into how AI is transforming sales processes. Whether you're a revenue leader, a sales manager, or a marketer looking to bridge the gap with sales teams, this episode is packed with practical takeaways on driving efficiency and improving business impact.About the GuestAbhishek Damani leads sales enablement for Industrial markets business at Cummins Inc., where he's responsible for driving sales functional excellence by implementing tools and creating resources, training, and KPIs to improve sales teams' productivity.Cummins Inc. is a global power solutions leader helping its customers successfully navigate the energy transition with its broad portfolio of products. The products range from advanced diesel, natural gas, electric, and hybrid powertrains and powertrain-related components. Headquartered in Columbus, Indiana (U.S.), since its founding in 1919, Cummins employs approximately 75,500 people committed to powering a more prosperous world.Connect with Abhishek DamaniKey Takeaways- Aligning Sales KPIs with Business Goals is Crucial:Measuring only revenue growth can create misalignment with broader company objectives like profitability or market expansion. Sales teams must tailor their KPIs to reflect business priorities.- Traditional Sales Metrics Have Blind Spots:While win rate and sales velocity are important, they fail to capture long-term trends like customer sustainability goals, industry shifts, and regional sales discrepancies.- Four Steps to Defining Impactful KPIs:Understand strategic and operational business goals.Identify KPIs that track progress toward those goals.Determine how sales contributes to those metrics and what data is required.Measure progress and drive accountability.- AI is Enhancing Sales Processes:From summarizing meeting notes to tracking customer engagement and automating administrative tasks like expense reporting, AI is freeing up valuable time for sales teams.- Bridging Sales and Marketing with Data:Cummins uses a structured business planning process to ensure sales forecasts align with market trends, breaking silos between sales, marketing, and engineering teams.Quotes"If KPIs don't align with company goals, everyone gets frustrated. Sales meets their numbers, but leadership still isn't happy."Tech Recommendations-reMarkable Paper Tablet – A digital notebook for handwritten notes and organization.- AI-Powered Meeting Note Summarizers – Automating administrative tasks like note-taking and action item tracking.Recommended ResourceBooks:-How Not to Be Wrong: The Power of Mathematical Thinking by Jordan Ellenberg.-The First 90 Days by Michael Watkins.Podcast:-Everyday AI Podcast by Jordan Wilson.⁠Connect with Abhishek Damani⁠⁠⁠⁠⁠⁠|⁠⁠⁠⁠⁠⁠⁠⁠ Follow us on LinkedIn ⁠⁠⁠⁠⁠⁠⁠⁠|⁠⁠⁠⁠⁠⁠⁠⁠Website

⚠️ Achtung: Immer Recht zu haben, kann auf Dauer anstrengend sein! Diese Folge wird deine Sicht auf Diskussionen für immer verändern. Einmal gehört, gibt es kein Zurück mehr...Wir verraten dir, wie du mit einfachen (mathematischen) Methoden sicherstellst, dass du nie wieder im Unrecht bist. In gewohnter SWPodcast-Manier, prägnant und auf den Punkt, führen wir dich durch essenzielle Konzepte und Herangehensweisen, die dir in alltäglichen Problemlösungen einen entscheidenden Vorteil verschaffen.Holt euch das Buch: How Not to Be Wrong: The Power of Mathematical Thinking TaschenbuchNeugierig auf mehr? Wenn du tiefer eintauchen und dich mit anderen austauschen möchtest, dann werde Teil unseres SWPodcast Buchclubs: swpodcast.de/buchclub Hosted on Acast. See acast.com/privacy for more information.

In this installment of Best Of The Gist, with Presidential polling and prognosticating in the air, we listen back to Mike's 2018 with Jordan Ellenberg, a professor of mathematics at the University of Wisconsin-Madison about his book How Not to Be Wrong: The Power of Mathematical Thinking. We also listen back to Mike's Spiel, in which he recounts the RFK bear fiasco … in song.    Produced by Joel Patterson and Corey Wara  Email us at thegist@mikepesca.com  To advertise on the show: https://advertisecast.com/TheGist  Subscribe to our ad-free and/or PescaPlus versions of The Gist: https://subscribe.mikepesca.com/  Follow Mike's Substack: Pesca Profundities | Mike Pesca | Substack  Learn more about your ad choices. Visit podcastchoices.com/adchoices

Text us, PsyclithidsEver dreamed of wielding magic like a true Wizard? In this episode of Dungeons, Dragons, & Psychology, we delve into the minds of these intellectual powerhouses and explore how to cultivate the skills and mindset of a real-life Wizard!Expand Your Mind:Learn how to develop the core Wizard stats: Intelligence (INT) and Dexterity (DEX).Discover strategies to become a voracious learner, critical thinker, and master problem-solver.Explore techniques to enhance your focus, hand-eye coordination, and multitasking abilities.Embrace the Wizard's Mindset:Cultivate curiosity, innovation, discipline, and a thirst for knowledge.Rule of Three Books:A Short History of Nearly EverythingGödel, Escher, Bach: An Eternal Golden BraidHow Not to Be Wrong: The Power of Mathematical ThinkingLevel Up Plan:Follow our three-month plan to build a strong knowledge foundation, sharpen your mental tools, and master knowledge application.Unleash Your Inner Wizard!Learn how to navigate the challenges of information overload, complexity, and discouragement. Join a community of learners and embark on a lifelong journey of exploration and discovery.Download YOUR Character SheetSession ZeroKeywords: dnd, D&D, dnd podcast, dungeons and dragons, podcast, ttrpg, rpg, roleplaying, roleplaying game, DM, dungeon master, game master, dnd ideas, Podcast Art by Kyle BaerlocherIntro music by 33nano from

Learn on your terms. Get the PDF, infographic, full ad-free audiobook and animated version of this summary and a lot more on the top-rated StoryShots app: https://www.getstoryshots.com ⭐️⭐️⭐️⭐️⭐️ Help us grow and create more amazing content for you! Rate and review the StoryShots podcast now.  What should our next book be? Suggest and vote it up on our free app. StoryShots Book Summary and Review of How Not to Be Wrong: The Power of Mathematical Thinking by Jordan Elleneberg  Life gets busy. Has How Not to Be Wrong been on your reading list for a while? Learn the key insights now. We're scratching the surface here. If you don't already have Jordan Ellenberg's popular book on science and mathematical thinking, order it here or get the audiobook for free on Amazon to learn the juicy details. Introduction Wouldn't you love to never be wrong? You're not alone, and it's hardly a surprise. In our work, relationships, and even our hobbies, we learn from a young age that being wrong is a mistake. Constant correct thinking is a concept that seems almost impossible, right? Wrong (ironically!).  How Not to Be Wrong by Jordan Ellenberg discusses ways we can make life simpler by thinking mathematically. The book dives into the world of mathematics and explores its applications in everyday life. By looking at simple and complex decisions, Ellenberg reveals our mistaken beliefs that lead to common errors in our thinking. “Mathematics is the study of things that come out a certain way because there is no other way they could possibly be.” — Jordan Ellenberg About Jordan Ellenberg  Jordan Ellenberg is a mathematician and author. He is a professor at the University of Wisconsin-Madison and has written several books on math and its application in various fields. He received his Ph.D. in math from Harvard University in 1998 and has written for publications like The New York Times, The Washington Post, and Wired. How Not to Be Wrong is a popular book that explores the ways mathematical thinking can help us understand and solve everyday problems. StoryShot #1: Think in a Nonlinear Way Nonlinear thinking means thinking logically about what you can and cannot control. Consider the following statement: "Where you should go depends on where you are." This nonlinear way of thinking helps you develop the skill of critical thinking and be better equipped to avoid mistakes. Imagine yourself in a car at a crossroads. When the light turns green, you drive across the road directly in front of you, not diagonally to the opposite side. This is linear thinking. Thinking in a nonlinear way gives us freedom to make choices and move forward with our lives. It also prompts more questions, which ‌leads to more answers. This allows us to acknowledge changes in our lives, even if we have no control over these changes. Linear regression is a statistical technique that looks for a linear relationship between two or more variables. For example, there is a statistic that shows that for every extra $10,000 someone earns, they are 3% more likely to vote Republican. Linear regression can help you understand how different factors influence an outcome and make predictions based on new data. However, to avoid reaching false conclusions, we must be aware that linear regression can't be used for every set of data and, if misused, produces misleading results. StoryShot #2: Understand That Math Is Part of Everything You Do StoryShot #3: Math Can Help You Win the Lottery StoryShot #4: Math Can Help Us Make Better Decisions StoryShot #5: Consider the Triumph in Mediocrity StoryShot #6: Public Opinion Doesn't Exist and Doesn't Matter Learn more about your ad choices. Visit megaphone.fm/adchoices

TODAY'S GUEST   Jordan Ellenberg is a professor of mathematics at the University of Wisconsin–Madison and the bestselling author of How Not to Be Wrong: The Power of Mathematical Thinking. His new book, Shape: The Hidden Geometry of Information, Biology, Strategy, Democracy, and Everything Else, came out earlier this year. Jordan lives in Madison, Wisconsin, and his blog is called Quomodocumque, which means "after whatever fashion" in Latin.   EPISODE SUMMARY   In this conversation we discuss: [2:56] Takeaways from teaching online [8:27] Early revelations about math [15:56] From academia to writing [18:54] A new way of teaching math [31:08] Lincoln and geometry [36:35] The geometry of gerrymandering [44:59] Comparing between the Israeli and the US political systems [52:21] How geometry helps in deep learning and AI [57:20] The geometry of reality [1:04:26] The philosophy of entropy [1:08:09] A non-sermon about sermons   EPISODE LINKS Jordan's Links

歡迎嚟到 搞乜咁科學 GMG Science 第7集！今集嘅主題係錯處 Mistake❌！Keith會講一個係人都會犯嘅錯，Abellona會解釋細胞點樣處理DNA嘅錯誤？而咩情況又會特登製造錯誤？喂！好奇心，係時候醒喇 :)Social Media:科學一齊搞 Got Something for GMG - 有咩想同我哋講都可以係度share㗎: https://forms.gle/26RSEgW9NeeSMc4a7搞乜咁科學網頁: www.gmgscience.com搞乜咁科學 IG: www.instagram.com/gmgscience搞乜咁科學 YouTube: https://www.youtube.com/channel/UCFj2cwjDASS2SyYsj3pkNSQAbellona IG: www.instagram.com/_doctor_uKeith IG: www.instagram.com/keith.poonsirKeith YouTube: https://www.youtube.com/channel/UC9fh5paH2jh5kfBVDEPC1YAShow Notes and Links:大部份今集有關嘅圖片會係我哋IG見到㗎: www.instagram.com/gmgscienceKeith part:Wald Abraham 沃德·亞伯拉罕 - Wikipedia 倖存者偏誤 Survival Bias - Wikipedia 康城站 LOHAS Park Station - Fandomxkcd 漫畫 再現危機 Replication crisis - Wikipedia 用細隻啲嘅碟幫唔到你減肥?! 發表偏差 Publication bias - Wikipedia 號外！！！科學證實: [自行輸入任意人類群組]會因為[自行輸入任意行為]而導致[自行輸入任意疾病] - Cartoon by Jim Borgman, 1997 大部份科學文獻出版結果都是錯嘅?! - Ioannidis JPA (2005) Why Most Published Research Findings Are False. PLoS Med 2(8): e124.延伸閱讀:How Not to Be Wrong - The Power of Mathematical Thinking by Jordan EllenbergAbellona part:DNA 修復 - Wikipedia  TEDed 介紹DNA 修復的短片 抗體 - Wikipedia  抗體多樣性的生成 

Jordan Ellenberg is the first official mathematician we've had on the show, but his work weaves through many different domains. Afterall, whether it's something like game theory or data science, it's all built on math.Jordan Ellenberg is at the University of Wisconsin at Madison, where he is the John D. MacArthur Professor of Mathematics. His research centers on the fields of number theory and algebraic geometry, the parts of mathematics which address fundamental questions about algebraic equations and their solutions in whole numbers. Jordan has also been writing for a general audience about math for more than fifteen years; including “How Not To Be Wrong: The Power Of Mathematical Thinking,” “Shape: The Hidden Geometry of Information, Biology, Strategy, Democracy, and Everything Else,” his novel “The Grasshopper King,” and his “Do the Math” column in Slate. Jordan joins Greg to talk about what makes math special, how published studies might not be reliable, and, the geometry of how we relate to the world.Episode Quotes:Math & IntuitionImprobable things are very common. Like if you like open a book to a random page and look at it and you're like, wow, 432, what's the chance that I would've opened it to exactly the page 432, like pretty small, right? The book has a lot of pages. That's a very unlikely event. And yet something in you knows not to find that remarkable, even though it's definitely improbable. So you see how your intuition gets like a little weird and twisted around. You have to be very careful.Math class is hardWe know that it's like one of the classes that creates a lot of stress for kids. And one reason is that it is a venue where we tell people they're wrong.Math is fundamentalMath is like a fundamentally human activity. Every single human society that's ever existed does it. And if we sort of, slice off either our poetic side or our quantitative side, we're just like slicing off like part of our human nature. Why would we do that?Show Links:Resources: Geometry by Rita DoveGuest Profile:Faculty Profile at University of WisconsinJordan Ellenberg's WebsiteJordan Ellenberg on TwitterJordan Ellenberg on FacebookHis Work:Articles on SlateJordan Ellenberg on Google ScholarHow Not to Be Wrong: The Power of Mathematical ThinkingShape: The Hidden Geometry of Information, Biology, Strategy, Democracy, and Everything ElseThe Grasshopper King

Two engineers get together to discuss two life essentials - food and money! Our food expert is Krish Ashok. Ashok is Global Head, Digital Workplace at TCS. He is a techie, a musician and an author. He talks about the science behind food, the history of food and offers a lot of food for thought for us to explore further. If you are interested, a good starting point is his famous book - Masala Lab. Our money expert is Deepak Shenoy. Deepak talks about the importance of managing your finances, the myths about investing, the fallacies that investors should avoid, and his take on cryptocurrencies. It is quite a treat to listen when he shares food metaphors to explain financial concepts. So listen in! Topics & References: 02:00 - Science of Indian food & cooking Refer - The parable of turkey and how things are done13:30 - Do modern food habits cause lifestyle diseases? 21:45 - Wait, it's the opposite? Butter is ok but the Naan is not? 25:30 - Basics of food everyone should follow Refer: Michael Pollan: Three Simple Rules for Eating37:00 - The play of sugar & salt 40:00 - People hate changing food habits 45:00 - Each of us processes the same flavor differently 49:00 - We don't like something because its unfamiliar, not necessarily bad 52:00 - Misconceptions about Food Refer: Why the Tomato Was Feared in Europe for More Than 200 Years56:00 - The myths of Genetic Modification Refer - The Story of Norman Borlaug, the American Scientist Who Helped Engineer India's Green Revolution01:01:00 - How do we make more people cook? (especially, the men) Refer - Apple Cider Vinegar Rasam01:07:00 - Does the online food delivery phenomenon change things for food and our food habits? 01:11:00 - Switching roles - Ashok Asks Deepak about Money 01:13:00 - Building a relationship with money Refer: Book: The Lexus and the Olive Tree01:17:30 - What money can do for you? 01:23:00 - How an adult should learn the basics of Finance? Refer: Book: An Economist Gets Lunch01:43:00 - How should salaried professionals think about Income Tax? 01:50:00 - Working as an employee Vs working as a businesses 01:54:00 - Understanding Inflation first before learning about investment returns Refer: What you know about inflation might be wrong02:01:00 - How do you make money work for you? 02:09:00 - How to allocate between Equity & Fixed Income? 02:11:00 - Ways for your money to make more money? 02:16:00 - Importance of diversification in Finance & Food 02:19:00 - How should one think about their own risk appetite? Refer: Harry Markowitz and Modern Portfolio TheoryRefer: How Not to Be Wrong: The Power of Mathematical Thinking02:28:00 - Is there a tool that helps track personal financial growth? 02:37:00 - Deepak's thoughts on cryptocurrencies Refer: Blockchains Are a Bad Idea (James Mickens)Refer: Selling Shovels in the New Startup Gold Rush You can buy Krish Ashok's book on the science of Food - Masala lab. You can buy Deepak Shenoy's book on investing - Money Wise. Check out our wealth management service - Capitalmind Wealth (PMS)

Since our first podcast in the spring of 2019, we've built a wonderful audience around the world, and now have a terrific collection of interviews with remarkable investors.   I have loved the opportunity to host these interviews myself but from the very beginning, I felt that you would benefit from having another voice to challenge the guests and bring a different point of view to the podcast. That time has finally come.   As we start this new season, I couldn't think of a better person to join me as co-host than Michael Mauboussin, Head of Consilient Research at Counterpoint Global. Michael is a colleague, a friend, and someone I admire enormously for his passion and ability to match academic research with the practical considerations of investing.   On our first episode together we're delighted to welcome Chase Sheridan and Will Pan of one of the great names in value investing, Ruane, Cunniff & Goldfarb.    Chase Sheridan joined Ruane, Cunniff & Goldfarb in June 2006 upon his graduation from Columbia Business School. Prior to attending Columbia, Chase was a senior vice president at Citadel Investment Group, a hedge fund based in Chicago and a partner at Q.E.D. Capital, an arbitrage firm based in Chicago. After interning with the firm in 2009, Will Pan was set on a career path with Ruane, Cunniff & Goldfarb. He joined the firm in 2010 after graduating from Harvard College.    On this episode, Chase, Will, Michael, and I discuss Ruane, Cunniff & Goldfarb's history and connection to Warren Buffett, why the Hyperion found was started, the team dynamic between Chase and Will as co-managers of the fund, their approach to idea sourcing and portfolio construction, and so much more!   Key Topics:   The history of Ruane, Cunniff & Goldfarb (RCG) (3:40) Chase's unusual path to RCG (6:37) How Chase became interested in value investing (8:36) Will's journey to RCG (10:18) The core of the RCG investment approach (13:52) Hyperion's maniacal focus on the intrinsic earnings power of a business (15:59) The relationship between RCG and Hyperion (17:26) The main difference between Hyperion and Sequoia (18:15) Why the RCG team considers themselves analysts first (19:45) The founding of Hyperion (21:30) Chase and Will's co-manager dynamic (23:18) Benefits of team management of a fund (25:30) Analyzing your trade ledger and thesis memos (26:52) RCG's writing and research culture (28:25) Hyperion's ideal investment characteristics (30:31) Idea sourcing at Hyperion (32:36) How Hyperion tackles due diligence (35:04) Focusing on intrinsic earnings power (38:56) The art of portfolio construction (41:46) Running scenarios on potential investments (44:05) The problem with portfolio managers emulating their idols (45:11) Understanding roll-ups (47:15) Why the vertical software industry is well-suited to consolidation (49:27) Where Constellation Software focuses on making their return (51:59) Constellation Software's framework for defensive acquisitions (54:15) What you need to know about Constellation Software (56:49) Mark Leonard's unique approach to acquisitions (58:53) An overview of Eurofins (1:01:17) Why consolidation makes sense for the testing industry (1:03:13) Gilles Martin's playbook for acquisitions (1:04:15) Why Hyperion became interested in Eurofins (1:07:42) The advantages of Eurofins having a founder CEO (1:08:56) The importance of leverage to Eurofins' growth (1:10:24) Will's recommended reading (1:12:43) What noise means for investors (1:14:14) Chase's recommended reading (1:15:15) And much more!   Mentioned in this Episode:   Ruane, Cunniff & Goldfarb Constellation Software Eurofins Scientific Daniel Kahneman, Olivier Sibony & Cass R. Sunstein's Book | Noise: A Flaw in Human Judgment Steve Brusatte's Book | The Rise and Fall of the Dinosaurs: A New History of a Lost World Walter Isaacson's Book | The Code Breaker: Jennifer Doudna, Gene Editing, and the Future of the Human Race Jeff Hawkins' Book | A Thousand Brains: A New Theory of Intelligence Edgar Wachenheim's Book | Common Stocks and Common Sense: The Strategies, Analyses, Decisions, and Emotions of a Particularly Successful Value Investor Jordan Ellenberg's Book | How Not to Be Wrong: The Power of Mathematical Thinking Chip Heath & Dan Heath's Book | Switch: How to Change Things When Change Is Hard Jeff Bezos' Book | Invent and Wander: The Collected Writings of Jeff Bezos Mark Leonard's President Letters David Sklansky's Book | Getting the Best of It Bryce Carlson's Book | Blackjack for Blood: The Card-Counters' Bible and Complete Winning Guide Ralph Vince's Book | The Mathematics of Money Management: Risk Analysis Techniques for Traders   Thanks for Listening!   Be sure to subscribe on Apple, Google, Spotify, or wherever you get your podcasts. And feel free to drop us a line at valueinvesting@gsb.columbia.edu.   Follow the Heilbrunn Center on social media on Instagram, LinkedIn, and more!

Jordan Ellenberg is a professor of mathematics at the University of Wisconsin–Madison and the best selling author of How Not To Be Wrong- The Power Of Mathematical Thinking. His new book Shape- The Hidden Geometry of Information, Biology, Strategy, Democracy and Everything Else came out earlier this year. Jordan lives in Madison, Wisconsin and his Blog is called Quomodocumque, which means "after whatever fashion" in Latin.   EPISODE SUMMARY In this conversation we discuss: [2:56] Takeaways from teaching online [8:27] Early revelations about Math [15:56] From Academia to writing [18:54] A new way of teaching Math [31:08] Lincoln and Geometry [36:35] The Geometry of Gerrymandering [44:59] Comparing between the Israeli and the US political systems. [52:21] How Geometry helps in Deep Learning and AI [57:20] The Geometry of reality [1:04:26] The philosophy of entropy. [1:08:09] A non-sermon about sermons.   EPISODE LINKS Jordan's Links

On what is perceptible to AI, and AI controllers.    Subscribe at: paid.retraice.com    Details: AI, and the people who use it; rods, cones and 4-D perception; camouflage failure; prediction machines; `they'; they can see future-you—the Target debacle; today and tomorrow; reality and fitness; the fitness of the vertical illusion; minds connected and disconnected; the quantum chessboard; correction for Re8. Complete notes and video at: https://www.retraice.com/segments/re9   Air date: Saturday, 31st Oct. 2020, 12 : 10 PM Pacific/US.   Chapters:  00:00 AI, and the people who use it; 01:22 rods, cones and 4-D perception; 05:08 camouflage failure; 07:50 prediction machines; 11:36 `they'; 15:43 they can see future-you—the Target debacle; 17:43 today and tomorrow; 18:26 reality and fitness; 22:21 the fitness of the vertical illusion; 25:44 minds connected and disconnected; 27:23 the quantum chessboard; 39:11 correction for Re8.   References:      Agrawal, A., Gans, J., & Goldfarb, A. (2018). Prediction Machines: The Simple Economics of Artificial Intelligence. Harvard Business Review Press. ISBN: 978-1633695672. Searches:  https://www.amazon.com/s?k=978-1633695672 https://www.google.com/search?q=isbn+978-1633695672 https://lccn.loc.gov/2017049211      Anderson, R. (2015). He who pays the AI calls the tune. (pp. 201–203). In Brockman (2015).      Bell, J. S. (1987). Speakable and Unspeakable in Quantum Mechanics: Collected Papers on Quantum Philosophy. Cambridge, 2nd ed. ISBN: 0521523389. Searches: https://www.amazon.com/s?k=0521523389 https://www.google.com/search?q=isbn+0521523389 https://lccn.loc.gov/86032728      Brockman, J. (Ed.) (2015). What to Think About Machines That Think: Today’s Leading Thinkers on the Age of Machine Intelligence. Harper Perennial. ISBN: 978-0062425652. Searches: https://www.amazon.com/s?k=978-0062425652 https://www.google.com/search?q=isbn+978-0062425652 https://lccn.loc.gov/2016303054      Dyson, G. (2015). Analog, the revolution that dares not speak its name. (pp. 255–256). In Brockman (2015).      Ellenberg, J. (2014). How Not to Be Wrong: The Power of Mathematical Thinking. Penguin. ISBN: 978-0143127536. Searches: https://www.amazon.com/s?k=978-0143127536 https://www.google.com/search?q=isbn+978-0143127536 https://lccn.loc.gov/2014005394      Gefter, A., & Hoffman, D. (2016/04/25). The case against reality. The Atlantic. Previously published in Quanta. https://www.theatlantic.com/science/archive/2016/04/the-illusion-of-reality/479559/ Retrieved 31 Oct 2020.      Jackson, R. E., & Cormack, L. K. (2008). Evolved navigation theory and the environmental vertical illusion. Evolution and Human Behavior, 29, 299–304. https://liberalarts.utexas.edu/cps/_files/cormack-pdf/12Evolved_navigation_theory2009.pdf Retrieved 29th Oct. 2020.      Retraice (2020/09/07). Re1: Three Kinds of Intelligence. retraice.com. https://www.retraice.com/segments/re1 Retrieved 22nd Sep. 2020.      Retraice (2020/10/28). Re8: Strange Machines. retraice.com. https://www.retraice.com/segments/re8 Retrieved 29th Oct. 2020.      Russell, B. (1992). Human Knowledge: Its Scope and Limits. Routledge. First published in 1948. This edition 1992. ISBN: 0415083028. Different editions available at: https://archive.org/search.php?query=Human%20Knowledge%3A%20Its%20Scope%20and%20Limits   Copyright: 2020 Retraice, Inc.  https://retraice.com

Math is having a moment. Never before, perhaps, has a graph loomed so large in our cultural consciousness, as we embrace the public health imperative to “flatten the curve.” Whether you’re a numbers whiz or think you would rather die of COVID-19 than revisit your high school math class, Jocelyn and Bradley will show you that the soul of mathematics is compassion. Fundamentally, math is not about numbers, but about relationships. Math is a tool for empathy, teaching us how our actions affect one another and enabling us to make informed decisions to take better care of each other. Math connects us, and at the same time, it helps us understand how we are connected. In this episode, the hosts discuss the unique status of mathematical knowledge as a means of thinking, interpreting, predicting, and intervening. In particular, they consider what we might call the numeracy gap—disparities in mathematical understanding—and how this gap has fueled conflicting interpretations of and responses to the COVID-19 pandemic. From risk calculations to exponential growth functions, math is the mental apparatus that allows us to project from what we are observing to what we will observe in the future, from our individual realities to our collective reality. When are you ever going to use algebra? Right now, friends. Right now. For further information: Johns Hopkins COVID-19 tracker: https://www.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6 “Hold the Line,” by Yale epidemiologist Jonathan Smith: https://elemental.medium.com/hold-the-line-17231c48ff17Exponential growth:Coronavirus vs. every 2000s epidemic (Cary Huang): https://youtu.be/n4no04822NQExponential growth and epidemics (3Blue1Brown): https://youtu.be/Kas0tIxDvrgSimulating an epidemic (3Blue1Brown): https://youtu.be/gxAaO2rsdIs Interactive graphs: https://www.nytimes.com/interactive/2020/03/13/opinion/coronavirus-trump-response.htmlhttps://www.washingtonpost.com/graphics/2020/world/corona-simulator/ The story behind ‘flatten the curve,’ the defining chart of the coronavirus: https://www.fastcompany.com/90476143/the-story-behind-flatten-the-curve-the-defining-chart-of-the-coronavirus Modeling the pandemic: https://www.the-scientist.com/news-opinion/modelers-struggle-to-predict-the-future-of-the-covid-19-pandemic-67261https://www.theatlantic.com/health/archive/2020/03/how-many-americans-are-sick-lost-february/608521/Further Reading:The Great Influenza, John M. Barry: https://www.amazon.com/Great-Influenza-Deadliest-Pandemic-History/dp/0143036491Innumeracy: Mathematical Illiteracy and Its Consequences, John Allen Paulos: https://www.amazon.com/Innumeracy-Mathematical-Illiteracy-Its-Consequences-ebook/A Mathematician Reads the Newspaper, John Allen Paulos: https://www.amazon.com/Mathematician-Reads-Newspaper-Allen-Paulos-ebook/How Not to Be Wrong: The Power of Mathematical Thinking by Jordan Ellenberg: https://www.amazon.com/How-Not-Be-Wrong-Mathematical/...Contact Science! With Friends (especially if you’re a scientist interested in a lively conversation about your science and science story) at Gmail or Twitter!• Gmail: sciwithfriends@gmail.com• Twitter @SciWithFriends• Facebook: Science With FriendsScience! With Friends Podcast is created and hosted by Jocelyn Bosley (@SciTalker) and Bradley Nordell (@bradleynordell), Produced and edited by Vince Ruhl.

Everyone knows that coffee can help you think and focus and can even improve your mood – especially that first cup in the morning. Years ago, coffee advertising contained the tagline… “Coffee, the THINK drink.” But it just may be that all the research showing how good coffee and caffeine are for mental function is flawed. If you are a coffee drinker, you are going to want to hear this. http://www.forbes.com/sites/travisbradberry/2012/08/21/caffeine-the-silent-killer-of-emotional-intelligence/Then, we look at all the math you use in everyday life. Mathematician, Jordan Ellenberg, author of the book How Not to Be Wrong: The Power of Mathematical Thinking (http://amzn.to/2uyMDx6) reveals just how important math is and how it is constantly changing. He also discusses how not to be tricked by statistics and numbers that are designed to mislead you.People do better work when they get a reward. It applies to people at work or kids at home – and it comes as no surprise. What’s interesting is that it actually depends on the type of reward. It doesn’t have to be a big reward, it just has to be the right reward to get people to do their best work. I’ll explain. Source: Dr. John Hoover, author of the book “The Art Of Constructive Confrontation” (https://amzn.to/2UcskBf)Why don’t diets work? Diet books and programs are as popular as ever but we continue to get heavier. Yoni Freedhoff, M.D., author of the book The Diet Fix (http://amzn.to/2vMM55m) explains the reasons why your next diet is likely doomed to fail and what works better to get the weight off and keep it off.

As the head of global field engineering and community at Imply, Rachel Pedreschi is passionate about engaging both externally with customers and internally with departments all across the board, from sales to engineering. Rachel’s involvement in the open source community focuses primarily on Apache Druid, a real-time, high-performance datastore that provides fast, sub-second analytics and complements another powerful open source project as well: Apache Kafka®. Together, Kafka and Druid provide real-time event streaming and high-performance streaming analytics with powerful visualizations.EPISODE LINKSHow To Use Kafka and Druid to Tame Your Router DataETL and Event Streaming Explained ft. Stewart BrysonWho is Abraham Wald?How Not to Be Wrong: The Power of Mathematical ThinkingJoin the Confluent Community SlackFully managed Apache Kafka as a service! Try free.

Che nesso c'è tra la statistica e la vittoria degli americani nella seconda guerra mondiale? La matematica serve veramente nella vita reale? Studiarla a scuola è l'unico modo di imparare qualcosa? Video su YouTube: https://youtu.be/kz43H5sjvZM Link libro "How Not to Be Wrong: The Power of Mathematical Thinking" di Jordan Ellenberg: https://amzn.to/2nmm2Tg

On The Gist, Devin Nunes probably doesn’t know squat.  In the interview, Democrats hold most of the Senate seats up for grabs in this year’s midterms, which means they have a lot to lose. But importantly, mathematician Jordan Ellenberg says election predictions often fail to account for national mood. Ellenberg is the author of How Not to Be Wrong: The Power of Mathematical Thinking.  In the Spiel, Mike defends his bougie laundry routine. Learn more about your ad choices. Visit megaphone.fm/adchoices

On The Gist, Devin Nunes probably doesn’t know squat.  In the interview, Democrats hold most of the Senate seats up for grabs in this year’s midterms, which means they have a lot to lose. But importantly, mathematician Jordan Ellenberg says election predictions often fail to account for national mood. Ellenberg is the author of How Not to Be Wrong: The Power of Mathematical Thinking.  In the Spiel, Mike defends his bougie laundry routine. Learn more about your ad choices. Visit megaphone.fm/adchoices

Vale a pena continuar a investir tempo/recursos em algo pelo simples fato que já está quase completo? Aqueles que mais estudam são os mais dedicados… ou os que mais precisam estudar? Veja bem. Curte o VB? Ajude-nos a mantê-lo no ar; seja nosso padrinho(a) a partir de R$1 por mês. Contate-nos por nosso WhatsApp (19-98908-1238) e/ou email: vejabem@vejabempodcast.com.br Encontre-nos também no: Facebook, Twitter e YouTube Referências: Monty Hall – Video How Not to Be Wrong: The Power of Mathematical Thinking – (livro) – patrocinado How To Count Past Infinity – Video Behavioral Economics – Artigo What's the most counter-intuitive thing you've learned? (Quora) Abraham Wald (Blindagem dos aviões)

Vale a pena continuar a investir tempo/recursos em algo pelo simples fato que já está quase completo? Aqueles que mais estudam são os mais dedicados… ou os que mais precisam estudar? Veja bem. Curte o VB? Ajude-nos a mantê-lo no ar; seja nosso padrinho(a) a partir de R$1 por mês. Contate-nos por nosso WhatsApp (19-98908-1238) e/ou email: vejabem@vejabempodcast.com.br Encontre-nos também no: Facebook, Twitter e YouTube Referências: Monty Hall – Video How Not to Be Wrong: The Power of Mathematical Thinking – (livro) – patrocinado How To Count Past Infinity – Video Behavioral Economics – Artigo What’s the most counter-intuitive thing you’ve learned? (Quora) Abraham Wald (Blindagem dos aviões)

"The point of math isn't solving problems," Jordan Ellenberg told me, "it's understanding stuff." And all too often these days we're misunderstanding stuff, even if we have more numbers than ever to work with. Jordan and I discussed some of the mathematical muddles we get into in politics, economics, finance and scientific research and how we can do better. He's a professor of math at the University of Wisconsin and the author of the acclaimed new book "How Not to Be Wrong: The Power of Mathematical Thinking."

Mathematician Jordan Ellenberg teaches at the University of Wisconsin–Madison and has written for The New York Times, The Washington Post, The Boston Globe, Slate and Wired. His latest book is “How Not to Be Wrong: The Power of Mathematical Thinking” and he was here to speak at Town Hall Seattle. Jordan Ellenberg talks about ideal airport arrival time, the joy of uncertainty and how better to argue with your spouse.

The Fed continues tapering. Amazon introduces a smartphone. And FedEx hits a new high.  Our analysts discuss those stories and share three stocks on their radar.  Plus, Jordan Ellenberg shares some insights from his book, How Not to Be Wrong: The Power of Mathematical Thinking.

Chances are that when you think about math—which, for most of us, happens pretty infrequently—you don't think of it in anything like the way that Jordan Ellenberg does. Ellenberg is a rare scholar who is both a math professor (at the University of Wisconsin-Madison) and a novelist. And in his fascinating new book, How Not to Be Wrong: The Power of Mathematical Thinking, he deploys analyses of poetry, politics, and even religion in a bold recasting of what math is in the first place.For Ellenberg, the stuff you hated about math in high school isn't the core of the thing. He's emphatic that mathematics isn't simply about the calculations involving, you know, numbers; rather, it's a highly nuanced approach to solving problems that we all, unavoidably, encounter. Ellenberg's chapters range from showing how mathematical thinking undermines many popular proofs for the existence of God (Paley's design argument, Pascal's wager), to explaining how math helps us understand why smoking causes lung cancer (contrary to claims by one early statistician who actually argued that the causation might be reversed—that lung cancer might cause smoking!).On the show this week we talked to Ellenberg about his book, and math: why you’re probably thinking about it all wrong, and why it’s so powerful.This episode also features a short interview with Tasneem Raja, author of the must-read new article "We Can Code It: Why computer literacy is key to winning the 21st century" in Mother Jones, and a discussion of new findings about autism and possibly how to stop it—by making brain cells better able to communicate with one another.iTunes: itunes.apple.com/us/podcast/inquiring-minds/id711675943RSS: feeds.feedburner.com/inquiring-mindsStitcher: stitcher.com/podcast/inquiring-minds