A podcast discussing topics which lie on the intersections of maths, data, human behaviour, and philosophy. Hosted by Bia and Zoey.
How 2 rob a bank
Claim This Podcastby Bia and Zoey
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8 episodes
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Podcast Overview
A podcast discussing topics which lie on the intersections of maths, data, human behaviour, and philosophy. Hosted by Bia and Zoey.
Language
🇺🇲
Publishing Since
8/23/2020
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Recent Episodes
June 30, 2021
How 2 be a snake
Imagine you and a stranger are paired together for a little game. Now there’s some money up for grabs and you’re both given 2 choices; Share or Snake. If you both share you both win £15 each If one of you shares and one of you snakes, the snake will win £50 leaving the person who chose share with nothing. If you both pick snake, you both leave with nothing. Would you pick ‘snake’ in the hopes of taking a bigger prize for yourself, or would you pick ‘share’ to share a smaller prize!? What would you do? What should you do? And why should we even care? In this episode, which is also the season finale, Bia shares some introductory game theory with Zoey by discussing: The social-media experiment they both conducted through Instagram: "Snake or Share" The Prisoner's dilemma (which is the original problem) The Traveller's dilemma. Acting like a "snake" i.e. picking the "dominant strategy" may give you control leaving you less susceptible to exploitation, but is it always the most profitable strategy? And what about the long-term implications of this? Our Instagram: @how2robabank Our Twitter: @how2robabank Sodosage's Instagram (poet): @sodosage
April 11, 2021
How 2 create a dating app
<p>How do dating apps work? And what are your thoughts on them? In this episode, Zoey shares how collaborative filtering works in dating apps such as Tinder, but also in Amazon. Bia shares how Hinge uses the Gale-Shapley algorithm (whilst butchering the pronunciation) to find your most compatible match. They discuss thoughts people shared via Instagram.</p> <p>Further details of the maths and algorithms are shared via Instagram/ their website.</p> <p><br></p> <p>Time stamps:</p> <p>0:47 – Collaborative filtering</p> <p>13:55 – Gale Shapley algorithm</p> <p>19:04 – Are dating apps are good/bad thing? Thoughts of Instagram followers</p> <p>28:48 – Who do dating apps favour/ hinder? Thoughts of Instagram followers & some personal stories</p> <p>Website: <a href="http://www.how2robabank.com/">www.how2robabank.com</a></p> <p>Instagram: <a href="https://www.instagram.com/how2robabank/">@how2robabank</a></p> <p>Twitter: <a href="https://twitter.com/how2robabank">@how2robabank</a></p> <p>Email: <a href="mailto:how2robabank@gmail.com">how2robabank@gmail.com</a></p> <p><br></p> <p>Links:</p> <p>Hinge uses Gale-Shapley algorithm: <a href="https://www.theverge.com/2018/7/11/17560352/hinge-most-compatible-dating-machine-learning-match-recommendation">https://www.theverge.com/2018/7/11/17560352/hinge-most-compatible-dating-machine-learning-match-recommendation</a></p> <p>Judith DuPortail’s article:</p> <p><a href="https://www.theguardian.com/technology/2017/sep/26/tinder-personal-data-dating-app-messages-hacked-sold">https://www.theguardian.com/technology/2017/sep/26/tinder-personal-data-dating-app-messages-hacked-sold</a></p> <p>Interracial dating online:</p> <p><a href="https://psycnet.apa.org/record/2014-02726-002">https://psycnet.apa.org/record/2014-02726-002</a></p>
March 8, 2021
How 2 illustrate a scientist with Nina Chhita
<p>In light of International Women's Day 2021, Zoey and Bia interview Nina Chhita, a medical writer based in Canada. Nina brings together art and science by illustrating trailblazers in science who happen to be women. </p> <p><br></p> <p>00:10 Introduction</p> <p>00:42 What has been the reaction to your work as a science communicator?</p> <p>02:09 Quick fire quiz</p> <p>03:15 What does it mean to be a medical writer?</p> <p>05:31 Did you always want to study biology when you were younger?</p> <p>08:10 Who were your role models growing up?</p> <p>11:39 Which blue plaque story led to @science.unhinged and @nina.draws.scientists?</p> <p>14:59 What was it about Rosalind Franklin that drew you to her story?</p> <p>16:15 How do you get inspiration for the scientists you illustrate now?</p> <p>18:26 How easy is it to find misinformation about less well-known women?</p> <p>20:30 Which scientist you've illustrated has been most fascinating to you?</p> <p>23:42 Has anything surprised you on this journey of science communication?</p> <p>26:26 What are ways we can feature women in science to be more mainstream?</p> <p>32:40 What would you change about the current curriculum to encourage girls to take more STEM-based subjects?</p> <p>33:40 How much more progress do we need in the future and how do you think we can get there?</p> <p>35:34 What makes a good scientist in your opinion?</p> <p>37:45 What is planned next for nina.draws.scientist?</p> <p><br></p> <p>Connect with Nina Chhita on Instagram @nina.draws.scientists and on Twitter @Nina_Chhita</p>
8 total episodes available
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- What is How 2 rob a bank?
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This podcast updates daily.
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This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
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Yes, this podcast regularly features guests.
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