Journalists Should Kill More Stories; Market Narratives Face Scrutiny - Episode Hero Image

Journalists Should Kill More Stories; Market Narratives Face Scrutiny

Odd Lots · · Listen to Original Episode →
Original Title: Tracy and Joe Answer All Your Questions

TL;DR

  • Journalists should be more selective and kill more stories, releasing only work they are genuinely proud of to maintain higher quality standards and avoid diluting their output.
  • The concept of "term premium" in yield curves is unsatisfying because it represents an unobservable, model-dependent metric that can flip to negative, suggesting investors may not always require extra compensation for longer-term debt.
  • Bitcoin's narrative has transformed from a digital payment system to an inflation hedge and even a "Trump vehicle," but its recent underperformance as a safe haven in 2025, compared to U.S. Treasuries and gold, raises concerns about its future narrative.
  • The value created by AI may not accrue to the labs developing it but rather to hardware providers or commoditized components, similar to the "coffee pod theory" where standardized, cheaper products capture a broader market.
  • Market-based inflation expectations appear surprisingly anchored despite potential future challenges to the Fed's price-targeting capacity due to politicization, suggesting a disconnect between market sentiment and underlying risks.
  • Journalists should consider killing more stories, as editors are meant to "take away" rather than add, ensuring that only high-quality, genuinely proud work is released to the public.
  • Understanding the intricacies of CPI calculation, including imputed and observed numbers, is crucial for nuanced discussion, as demonstrated by recent lower-than-expected inflation figures influenced by specific assumptions.

Deep Dive

Odd Lots hosts Joe Weisenthal and Tracy Alloway engage in an "Ask Us Anything" episode, revealing that while they strive for high-quality content, they have occasionally killed episodes that did not meet their standards. Their discussions frequently touch upon complex market mechanics and historical context, with Joe drawing parallels between historical events and contemporary China, and Tracy questioning the market's assumptions, particularly regarding inflation expectations and the concept of the "term premium." The hosts acknowledge the difficulty of retaining specific details from their extensive listening and interviewing, suggesting that their value lies in synthesizing information and facilitating conversations rather than perfect recall.

The exchange highlights a recurring tension in financial markets and economic discourse. Joe's exploration of Chinese history, from ancient dynasties to Deng Xiaoping, underscores how understanding the past informs present-day analysis, particularly concerning China's economic and political trajectory. Tracy's skepticism towards market-based inflation expectations and the term premium concept points to a deeper debate about the predictability of markets and the reliability of economic models. The hosts admit that their discussions, while informative, are not always about perfect retention of facts but more about the process of inquiry and the generation of insights, a sentiment echoed in their playful consideration of being represented by Magic: The Gathering cards that embody adaptability and nuanced market interaction.

Ultimately, the episode underscores the podcast's commitment to exploring the "why" behind market movements and economic phenomena. Their exploration of topics like Bitcoin's evolving narrative and the potential value accrual from AI demonstrates a focus on second-order implications -- how technological advancements or market narratives might reshape industries and wealth distribution. The hosts' willingness to question established ideas, like the efficient market hypothesis or the definition of the term premium, encourages listeners to critically assess market narratives and understand the underlying complexities, reinforcing the podcast's role in providing a platform for thoughtful, often contrarian, economic and financial analysis.

Action Items

  • Audit podcast release process: Define criteria for episode quality and establish a "kill switch" for sub-par content to ensure only proud-of-work episodes are released.
  • Create a framework for evaluating information retention: Track recall of key facts from 5-10 podcast episodes over a 2-week period to measure learning effectiveness.
  • Draft a comparative analysis of AI value accrual: Model potential outcomes for AI supply chain commoditization versus value capture for 3-5 key segments (e.g., labs, hardware, software).
  • Measure the disconnect between market inflation expectations and underlying economic drivers: Analyze 5-10 market-based inflation indicators against geopolitical and political trends over a 1-month period.

Key Quotes

"We have killed episodes in the past... in fact, there's there's kind of a funny story where we did an episode it really wasn't going very well the guest seemed very nervous and just sort of like not at his top performance and in the end after we recorded we told him you know we're just going to kill this episode and he was actually really happy about that because he felt he hadn't done his best work either."

The hosts discuss the rare instances where they have decided not to release a recorded podcast episode. This quote highlights their commitment to quality, even if it means discarding an entire episode. The hosts explain that they have done this when a guest was not performing well, and in one case, the guest was relieved because they also felt they hadn't delivered their best work.


"I actually think journalists should kill a lot more stories we should be more selective and if you think about the German word for redactor redacteur it sounds a lot like redact right which gives you you know some sense of what editors are supposed to be doing which is taking away as opposed to adding."

This quote emphasizes the importance of editorial discretion and the principle of "less is more" in journalism. The speaker argues that journalists should be more selective about what they publish, drawing a parallel between the German word for editor ("Redakteur") and the act of "redacting" or removing content. This suggests that a key role of an editor is to refine and distill information, rather than simply adding to it.


"My guess is that there are other services that people in finance provide other than high quality security selection that whether it's like okay I don't really like know how to manage risk or whatever it is or I'm anxious about the thought of investing all kinds of things I guess you know there probably are people who are able to obtain information that maybe counts as alpha it probably exists I don't know I remain unsatisfied."

The speaker expresses uncertainty about how financial professionals accumulate wealth, particularly in the context of efficient market hypothesis (EMH). The speaker suggests that beyond just selecting good securities, finance professionals might offer other valuable services like risk management or alleviating investor anxiety. However, the speaker remains unsatisfied with this explanation, indicating a lingering question about the true drivers of wealth accumulation in finance.


"I keep describing this as the coffee pod theory of AI, which is some tech companies are choosing to basically produce the world's most expensive sophisticated cappuccino machine and they're saying that you know it produces the best coffee that you've ever had and crucially what they're doing is targeting a market for this machine let's say it costs like $2,000 that's basically the entire world and I'm I'm not sure that approach works."

This quote introduces an analogy to explain different strategies in the AI market. The speaker compares some tech companies to those selling expensive, high-end "cappuccino machines" (AI products) targeting a broad market, questioning the viability of this approach. This "coffee pod theory" suggests that the value created by AI might not necessarily accrue to the companies developing the most complex or expensive solutions.


"I am kind of surprised about how well anchored market-based expectations for inflation have been because there is I think pretty legitimate there's two things going on one is you know the fed hasn't missed its inflation target for years and so there's perhaps reasons to think that just already that the fed hasn't been as serious about 2% as it had been before but then also I do think there are good reasons to think that in the future the fed will not have the same capacity to target stable prices the way it used to due to politization due to the general sort of like populist trend in politics."

The speaker expresses surprise at the stability of market-based inflation expectations, given potential future challenges to the Federal Reserve's ability to control prices. The speaker points to two main reasons for this surprise: the Fed's past performance and the increasing politicization of central banking. This suggests a disconnect between current market sentiment and potential future economic realities regarding inflation.


"My favorite was probably my Shivan Dragon. I liked the idea of dragons and it had really nice art and at the time it was a really valuable and powerful card by the way I don't know if I'm pronouncing Shivan right whether it's Shivan or or Shy-van like we we didn't have a lot of pronunciation guides when I was in middle school and I also just don't remember how people were saying these things it was like 30 years ago."

The speaker shares a personal anecdote about their favorite Magic: The Gathering card, the Shivan Dragon. This quote reveals a fondness for the card due to its dragon imagery, art, and perceived power at the time. The speaker also humorously notes the uncertainty around the pronunciation of "Shivan," reflecting on the lack of resources for such details during their childhood.

Resources

External Resources

Books

  • "Mariners, Renegades and Castaways" by C.L.R. James - Mentioned as a book about Moby Dick that argues Herman Melville anticipated 20th-century pathologies.
  • "The Heart of the Sea" - Mentioned as a book about the whale ship Essex, which inspired Moby Dick.
  • "A Marriage at Sea" - Mentioned as a book about a couple whose ship is destroyed by a whale.
  • Ezra Vogel's biography of Deng Xiaoping - Mentioned as a compelling book that helped understand 20th-century Chinese history.

Articles & Papers

  • "The Coffee Pod Theory of AI" - Mentioned as an analogy for how some tech companies are approaching AI development.

People

  • Herman Melville - Mentioned in relation to his book Moby Dick and its themes.
  • Ahab - Mentioned as a character in Moby Dick who anticipated 20th-century pathologies.
  • Eugene Fama - Mentioned as the "father of the EMH idea" and a past podcast guest.
  • Adam Posen - Mentioned as a guest on a previous episode who recommended Ezra Vogel's biography of Deng Xiaoping.
  • Ezra Vogel - Mentioned as the author of a biography of Deng Xiaoping.
  • Deng Xiaoping - Mentioned in relation to his biography and 20th-century Chinese history.
  • Sun Yat-sen - Mentioned as a historical figure revered in both Taiwan and mainland China, and an early pioneer of land reform.
  • Mao - Mentioned as a historical figure.
  • Deng Xiaoping - Mentioned as a historical figure.
  • Julian Edelman - Mentioned as a co-host of "Dude's on Sunday mornings."
  • Gronk - Mentioned as a co-host of "Dude's on Sunday mornings."
  • Janice Torres - Mentioned as a co-host of the podcast "Mind the Business."
  • Austin Hankwitz - Mentioned as a co-host of the podcast "Mind the Business."
  • Ruby Studio - Mentioned as the producer of "Mind the Business."
  • Intuit QuickBooks - Mentioned as a partner of "Mind the Business."

Organizations & Institutions

  • Barkley's Investment Bank - Mentioned as the issuer of the podcast "Barkley's Brief."
  • Mood.com - Mentioned as a company that ships federally legal cannabis.
  • Bloomberg News - Mentioned in relation to the "Bloomberg News Now" podcast.
  • Bloomberg Audio Studios - Mentioned as the producer of "Bloomberg News Now."
  • Peterson Institute - Mentioned in relation to a previous episode with Adam Posen.
  • Taiwan - Mentioned in relation to Sun Yat-sen.
  • Mainland China - Mentioned in relation to Sun Yat-sen.
  • US Treasuries - Mentioned as a safe haven asset that has outperformed Bitcoin.
  • AWS - Mentioned as a certification provider for Codecademy.
  • Microsoft - Mentioned as a certification provider for Codecademy.
  • Google Cloud - Mentioned as a certification provider for Codecademy.
  • Comptia - Mentioned as a certification provider for Codecademy.
  • Bloomberg Businessweek - Mentioned as the source for the "Bloomberg Businessweek Daily Podcast."
  • TJ Maxx - Mentioned as a retail store.
  • CVS - Mentioned as a retail store.

Podcasts & Audio

  • Barkley's Brief - Mentioned as a podcast from Barkley's Investment Bank.
  • Bloomberg News Now - Mentioned as an on-demand news report delivered to a podcast feed.
  • All Thoughts Podcast - Mentioned as the podcast being broadcast.
  • Dude's on Dude's with Gronk and Jules - Mentioned as a podcast.
  • Mind the Business Small Business Success Stories - Mentioned as a podcast.
  • Masters in Business Podcast - Mentioned as a podcast hosted by Barry Ritholtz.

Other Resources

  • Moby Dick - Mentioned as a book that inspired discussion.
  • Efficient Markets Hypothesis (EMH) - Mentioned in relation to a listener's question about portfolio managers.
  • Alpha - Mentioned as a potential source of profit for some individuals in finance.
  • AI (Artificial Intelligence) - Mentioned as a transformative technology.
  • Nvidia - Mentioned as a hardware company in the AI supply chain.
  • TSMC - Mentioned as a hardware company in the AI supply chain.
  • UBI (Universal Basic Income) - Mentioned as a potential outcome if AI replaces human labor.
  • CPI (Consumer Price Index) - Mentioned in relation to inflation calculation.
  • Term Premium - Mentioned as a concept in the yield curve that is debated.
  • Magic: The Gathering - Mentioned as a card game.
  • Shivan Dragon - Mentioned as a favorite Magic: The Gathering card.
  • Wall of Brambles - Mentioned as a Magic: The Gathering card.
  • Vesuvian Doppelganger - Mentioned as a Magic: The Gathering card.
  • Bitcoin - Mentioned in relation to its narrative cycles and performance.
  • Digital Gold - Mentioned as a narrative for Bitcoin.
  • Stablecoins - Mentioned in relation to crypto and payment platforms.
  • Crypto - Mentioned in relation to stablecoins and financial systems.
  • Inflation - Mentioned as a market expectation and a topic for discussion.
  • Fed (Federal Reserve) - Mentioned in relation to inflation targets and political influence.
  • Yield Curve - Mentioned in relation to the term premium.
  • Chat GPT - Mentioned as an AI tool used to generate answers.

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