E08: 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?


Sodosage’s Instagram (poet): @sodosage

E07: How 2 create a dating app

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.

Further details of the maths and algorithms are shared via Instagram!

Time stamps:
0:47 – Collaborative filtering
13:55 – Gale Shapley algorithm
19:04 – Are dating apps are good/bad thing? Thoughts of Instagram followers
28:48 – Who do dating apps favour/ hinder? Thoughts of Instagram followers & some personal stories

Useful Links:

Hinge uses Gale-Shapley algorithm
Judith DuPortail’s article
Interracial dating online

E05: Q&A

In this episode, Zoey and Bia answer questions submitted by listeners. These include what inspired them to make the podcast, Instagram page and blog, why a common person should learn maths, and how hard it is to get good at it.

Timestamps:
00:36 What inspired you to make this page and podcast?
02:00 Who are we?
02:49 How did we meet?
03:37 What inspired you to take maths at university?
04:38 What advice would you give yourself if you could go back in time 10 years?
05:25 What advice would you give to young girls who want to pursue STEM (Science, Technology, Engineering and Mathematics)?
06:30 Why do you think a common person should learn maths?
09:39 How hard is it to get good at maths?
12:40 What is missing from elementary school maths syllabus that would make maths more fun?
14:13 Are mathematical models underrated or overrated?
16:37 Do you have any maths book recommendations?
18:10 Does it annoy you that people think you are men online?
20:18 From your experience, what have you learnt about communicating maths ideas online?

Useful links:
https://www.opendemocracy.net/en/5050/these-women-are-using-instagram-celebrate-unsung-women-science/

E04: How 2 lie with zombie statistics

Zoey and Bia discuss what zombie statistics are, why it’s hard for zombie statistics and facts to die and whether it is right for a wrong statistic to be cited even if it produces positive effects.

Introduction
00:15 – Lies, damned lies and statistics
01:48 – Zombie statistics definition
Quiz and answers discussion
03:52 – Zombie stats or facts quiz
05:45 – Zombie stat/fact #1 – One in four people will suffer from mental illness/ depression in their lifetime
09:18 – Zombie stat/fact #2 – You need to drink eight glasses of water a day
12:18 – Zombie stat/fact #3 – People use only 10% of their brains
14:22 – Zombie stat/fact #4 – You need to walk 10,000 steps a day to stay healthy and fit
19:05 – Zombie stat/fact # 5 – The ban of plastic straws will massively reduce plastic waste in our oceans
General discussion
26:26 – Discussion on why it’s hard for zombie stats/facts to “die” – beneficial information to people/companies and confirmation bias?
30:37 – Is it okay for a statistic to be wrong even if it has a positive effect?
33:45 – Making sure you understand the entire story of the statistic and taking it with a pinch of salt
35:29 – Conclusions

Useful links:
Adult Psychiatric Morbidity in England – 2007, Results of a household survey https://digital.nhs.uk/data-and-information/publications/statistical/adult-psychiatric-morbidity-survey/adult-psychiatric-morbidity-in-england-2007-results-of-a-household-survey
Medical Myths” https://www.bmj.com/content/335/7633/1288
Dirty Streaming: The Internet’s Big Secret https://www.bbc.co.uk/iplayer/episode/p083tb16/dirty-streaming-the-internets-big-secret