In this podcast episode (recorded on 3/23/22) we spoke with Maxim Lott – the mind behind the Maximum Truth Substack and ElectionBettingOdds.com – to discuss the current military, political, and economic situation in Russia as it pertains to the Russo-Ukrainian crisis.

As a former journalist for organizations like ABC and Fox, Maxim has deep experience operating within mainstream media companies. And as a result of his time working for those institutions, he has focused his career on providing alternatives to mainstream media narratives, including the current war in Ukraine.

Maxim has been covering (and forecasting) the war in Ukraine throughout March, providing nuanced perspectives on the crisis. From casting doubt on the severity of the current sanctions regime impacting the Russian economy, to sharing sentiment polls from Russian citizens, Maxim consistently provides interesting vantage points on this conflict. Maxim also spent time in Eastern Europe before our conversation, and talks about his experience in the region and how that has impacted his analysis.

In this podcast episode, we sat down with Tom Chivers—author, journalist, and science writer for The i—to have a conversation on forecasting and the news media. We talked about his background in the media industry, his frustrations with mainstream news and its lack of nuance, his views on forecasting and prediction markets in media, and more.

Tom previously wrote for BuzzFeed UK, served as the science editor for UnHerd, and has bylines with New York Times, Guardian, New Scientist, and The Telegraph. He often writes data-driven rebuttals to topics that are being primarily depicted in one way in the media, interjecting nuance into the conversations. In many ways, the same exercise as distinguishing signals from noise. Conducting journalism with a forecaster’s mindset.

He's also written two books, The AI Does Not Hate You in 2019 and How to Read Numbers in 2021, and writes about similar topics discussed in our communities, including effective altruism, rationality, and forecasting. To our knowledge, Tom is one of the most prominent journalists writing about and covering quantified forecasts. In June of last year, Tom assembled a panel of superforecasters for an article on whether China will invade Taiwan and has started to make his own predictions too!

You can follow Tom on Twitter: @TomChivers.

And we’re back! In this year’s first podcast, we are speaking with Tina Fordham, Partner & Head of Global Political Strategy at Avonhurst, a London-based advisory business.

Tina is one of the most veteran players in the political risk industry, beginning her career at Eurasia Group where she launched Eurasia Group's financial markets business, including leading the Lehman Brothers-Eurasia Group index—the first political risk index on Wall Street. While there she also led the roll-out of Eurasia Group's European business.

Since then, Tina’s career has included roles as Managing Director, Chief Global Political Analyst at Citigroup (the first position of its kind on Wall Street), as well as Member of the High-Level Panel for Women's Economic Empowerment—the first-ever UN High-Level Panel dedicated to promoting Women's Economic Empowerment. She also created her own framework for processing political risk, Vox Populi, which was born in the post-Arab Spring era that we will talk about in-depth.

Today we will discuss Tina’s impressive career, her risk framework, and some specific forecasts she has made in her many roles as well as her thoughts on quantified forecasting and much more. We are very excited about this interview, and we think you will enjoy this one!

When the Suez Canal got blocked by the Ever Given shipping vessel a global trade crisis began, costing the global economy $10 billion a day. Knowing when this crisis would end had immense valuable, but predicting the clearing was easier said than done—as our own forecast showed. One person who got it done was Peter Wildeford, a top-100 forecaster on Metaculus and Forecast App, and the co-CEO of the think tank Rethink Priorities. Peter’s forecast was more accurate than most, letting him turn his foresight into triple-digit returns.

In the inaugural episode of The Right Side of Maybe—a new podcast where we learn from and about elite forecasters—we talked to Peter about the method behind his Ever Given forecast and the ways in which he leveraged it for profit on Polymarket. We also talked to Peter about his background in forecasting and recent experience with prediction markets, as well as some of the most important areas of psychology and science where Peter thinks forecasters can improve.

Find Peter Wildeford : https://twitter.com/peterwildeford

Rethink Priorities: https://www.rethinkpriorities.org/

Global Guessing: https://globalguessing.com/#/portal/signup

How should we understand the Omicron relative to Delta? How does Omicron change the nature of the pandemic and what steps should we be taking in response? These questions require navigating and quantifying uncertainty, while also making forecasts about the future. We could think of no one better than Juan Cambeiro for answers.

Juan Cambeiro is a Global Guessing alum, Good Judgment superforecaster, and Metaculus analyst, who placed first in IARPA's FOCUS Tournament on COVID-19 forecasting and was the former first-place COVID forecaster on Good Judgment Open.

Juan recently wrote a fantastic article on Metaculus about the Omicron variant–providing a concise analysis of the variant from an epidemiological and public health perspective, while also offering five concrete forecasts about it.

In this podcast, we'll talk to Juan about how he analyzed and understood the variant, chose and forecasted these five questions, and key signals he’s identified and looking out for in the future. We'll also chat about how policymakers and others should respond to the variant and understand the information from these forecasts. At the end, we'll discuss additional forecasting questions we should be asking to better understand the variant's impact on the pandemic.

Learn more: https://globalguessing.com/forecasting-omicron-juan-cambeiro/

Note: This podcast was recorded on December 6, 2021.

It's hard to imagine, but 51 weeks ago we launched Global Guessing with our inaugural forecast on the 2020 Burkina Faso Presidential Election. In the time since, we've released 43 podcast episodes, 34 forecasts, and a new newsletter.

In today's final (??) episode of the Weekly Podcast, we wanted to go over this incredible past year–discussing why we started this project, recount the content we've produced, highlight our favorite moments, and discuss how our thoughts about quantified forecasting and the content we produced evolved since that Burkinabe forecast.

While this may be the final GGWP for a while, we're not going anywhere! At the end of this episode, we'll share with you our exciting plans for 2022 and beyond with respect to forecasts and podcasts.

Thank you so much for being with us for the last year and the support you have shown. We hope you enjoy the show!

Do consumers of geopolitical risk reports want accurate forecasts? You would think surely yes, but recurring listeners of our podcast know that in many cases individuals prefer vague verbiage over accountable, quantifiable forecasts. In this week's Global Guessing Weekly Podcast we wanted an answer, so we spoke with Manas Chawla, founder and CEO of London Politica–a student-run pro-bono political risk organization based out of London.

Manas founded London Politica in 2020 during the pandemic when he noticed an accessibility problem in the geopolitical risk industry. Today, the geopolitical industry resembles an oligopoly: there is a small handful of large firms that retain the largest clients and drive trends. The issue is that the fees which these firms charge are often too lofty for the massive pool of SMBs and independent business owners around the world. And that’s where London Politica comes in. Run by students who provide new and innovative perspectives on the world of geopolitics, London Politica provides geopolitical risk services and thought leadership at affordable prices to a diverse world of clients.

Today Manas will walk us through how he founded his firm which boasts 70 analysts in 20 countries with backgrounds from the likes of Goldman Sachs, Credit Suisse, and clients such as Global Citizen. And to make this all more impressive, Manas is currently a student at the London School of Economics where he is studying International Relations. We'll also talk with Manas about the role geopolitical forecasts play in geopolitical risk, and how the future of the two might look.

Note: This podcast was recorded on August 31, 2021.

Welcome back to the Global Guessing Weekly Podcast. This week we are joined by David McCullough, Managing Director of Government Operations and Superforecaster and Good Judgement Inc. Prior to joining Good Judgement, David was an underwater Archaeologist for over twenty years after receiving his Ph.D. in Maritime Archeology from the University of Glasgow.

In this week's episode, we talked to David about his background in Archaeology and the ways in which his training helped him become an elite forecaster. Afterwards, we discussed the importance of creating good forecasting questions and the qualities associated with them. We also chatted with David the importance of pre-mortem analysis and the roadblocks hindering government and private-sector adoption of forecasting and the principles outlined in Tetlock and Gardner's Superforecasting.

We really enjoyed speaking with David, finding his answers thoughtful and insightful. If you did as well, make sure to check out Good Judgement's upcoming Superforecasting Workshop on December 8th and 9th at 12:00 - 2:30pm EST.