This week Rafael Behr talks to Tim Harford, BBC Radio 4's presenter of More or Less and FT columist, about his new book: How To Make The World Add Up. Tim Harford writes the Undercover Economist column for the FT and was previously an economics leader writer for the FT. He is also the author of seven books, including the million-selling, The Undercover Economist and before that, Fifty Things That Made the Modern Economy. He is also a regular presenter for BBC radio. He was made an OBE in the 2019 new year honours list “for services to improving economic understanding. Link to buy the book: www.hive.co.uk/Product/Tim-Harford/How-to-Make-the-World-Add-Up--Ten-Rules-for-Thinking-Diff/25138829) If you have a questions, comments or suggestions for Rafael about the podcast please email potc@larchmontfilms.com If you enjoy this podcast do please like, share and review it. Phil (the producer) This podcast is hosted by ZenCast.fm
Host Rafael Behr looks ahead to a new political season that promises to be like none in recent memory and reflects on a lost summer of coronavirus denial, with some digressions on party conferences, Brexit and Cliff Richard. This podcast is hosted by ZenCast.fm
This week Rafael Behr and Helen Lewis discuss social media's corrosive effect on politics and public discourse, and how we can all respond. Helen Lewis is a staff writer at the Atlantic, was deputy editor at the New Statesman, presents BBC Radio 4's Westminster Hour, and is a regular panellist on BBC Radio 4's News Quiz. She's written a book about the history of feminism, is ambivalent towards Twitter but likes the Sopranos and embroidery. Helen's new book - (https://www.theguardian.com/books/2020/feb/16/difficult-women-history-of-feminism-11-fights-helen-lewis-review) Helen's newsletter - http://helenlewis.substack.com Helen's writing in the Atlantic https://www.theatlantic.com/author/helen-lewis Helen's lecture on the failure's of political journalism - https://reutersinstitute.politics.ox.ac.uk/video/helen-lewis-failures-political-journalism This podcast is hosted by ZenCast.fm
This week, Rafael Behr talks to Bobby Duffy from The Policy Institute at King's College London about trust in the government during the Coronavirus pandemic and how our identities and cognitive biases affect who we trust in politics. Topics discussed in order 1-4 Fall-out from Dominic Cummings; Public health messaging during lock-down; Stats coronavirus tests it says it’s been carrying out; Bobby Duffy conversation starts 5-10 King's College new report; support for the government coming out of the lock-down; How identities influence how we view the government's response to the pandemic; Growth of tribal identities; Conflict extension theory; Potential for a culture war like the US? 10.30 Connections between leave/remain tribes and trust in how govt. is dealing with Coronavirus; National pride; Confirmation bias How do political identity and self-preservation interact? 14 How good are we at assessing risk? Emotional innumeracy 17.40 Good that we overestimate risk in such scenarios? System 1 v System 2 thinkin;g Do politicians exploit our ‘faulty thinking’? 21 Do we understand reality more or less than the 1940s? 22 Deliberative democracy; What is it? Is it underused? 24 Eire using DD before their 2018 abortion referendum; Is context important? 29 Has trust in politicians declined recently? Is it rational not to trust politicians? 31 Do we suffer from rosy retrospection? Does identity come before people’s politics? 36 Progressives, facts and trust; Moral outlook and who we trust How Trump communicates trust via a distorted view of reality. 40 How will we look back at our unity at the start of the lock-down? room for optimism? optimism/uncertainty about how we come out of Coronavirus; generational conflict? 48 In conclusion 49 End https://www.kcl.ac.uk/news/declining-confidence-in-governments-covid-response Perils of Perception
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Creator Details

Birthdate
Feb 10th, 1970
Location
Brighton, England, United Kingdom
Episode Count
7
Podcast Count
1
Total Airtime
4 hours, 38 minutes
PCID
Podchaser Creator ID logo 637713