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In this annual "Ask Us Anything" holiday episode, Bloomberg's Odd Lots podcast hosts Tracy Alloway and Joe Weisenthal tackle listener questions ranging from their editorial process to Chinese history, AI value creation, and even Magic: The Gathering cards. (02:38) The hosts reveal insights into their journalistic approach, including the rare occasions when they've killed recorded episodes that didn't meet their standards. (04:00) They explore complex topics like the efficient market hypothesis, Bitcoin's narrative reinvention cycles, and the challenges of retaining information from hundreds of interviews with experts across finance and economics.
Bloomberg journalist and co-host of the Odd Lots podcast, known for her expertise in financial markets and economics. She brings analytical rigor to complex market topics and has a background that includes experience with Magic: The Gathering card collecting, demonstrating her diverse interests beyond finance.
Bloomberg journalist and co-host of Odd Lots, recognized for his deep interest in Chinese history, literature (particularly his enthusiasm for Moby Dick), and market analysis. He's known for his contrarian views on topics like the efficient market hypothesis and his ability to connect seemingly disparate topics to financial markets.
The hosts revealed they occasionally kill recorded episodes that don't meet their standards, emphasizing quality over quantity in content creation. (04:00) This approach reflects a broader principle that journalists should be more selective about what they publish, with Joe noting that the German word "redactor" suggests editors should focus on taking away rather than adding content. This strategy ensures that only their best work reaches audiences, maintaining credibility and trust with their listener base.
Despite conducting hundreds of interviews with experts, the hosts acknowledge they struggle to retain specific facts and details from their conversations. (21:25) Joe candidly admits that after spending three weeks reading a biography of Deng Xiaoping, he could only recall three or four basic facts when asked what he learned. This highlights a universal challenge in knowledge acquisition - the difference between surface-level recall and deeper, subconscious learning that influences future thinking and decision-making.
The hosts discussed Bitcoin's unique capacity to reinvent itself through different market cycles, transforming from a digital payment system to an inflation hedge to a political vehicle. (23:27) This "narrative theory of Bitcoin" suggests that because Bitcoin is essentially nothing concrete, it can become anything the market needs it to be. However, its poor performance in 2025 during a volatile geopolitical year raises questions about its effectiveness as a safe haven asset compared to traditional alternatives like gold and US Treasuries.
When discussing where value will accrue in the AI revolution, the hosts acknowledged the fundamental uncertainty around which parts of the supply chain will capture profits versus become commoditized. (10:36) Tracy introduced the "coffee pod theory of AI," suggesting some companies are creating expensive, sophisticated solutions targeting the entire world market, while others focus on cheaper, standardized approaches. The ultimate winner remains unclear, but historical patterns suggest technology tends to concentrate wealth rather than distribute it broadly.
Tracy highlighted how well-anchored market expectations for inflation remain despite legitimate reasons for concern about the Fed's future capacity to maintain price stability. (30:15) She emphasized the importance of understanding how economic indicators like CPI are actually calculated, noting that many components are estimated rather than directly observed. This suggests investors should dig deeper into the methodology behind widely-accepted market metrics rather than taking them at face value.