Value As Subjective, Scalar, And Broadly Applicable

Issue 101 Edition 2026-04-11 6 min read

General

Sources: 1 • Confidence: Medium • Updated: 2026-04-11 20:24

Key takeaways

In the series, 'value' is defined as subjective worth that can include financial, emotional, and personal-meaning components, not price alone.
Olaf Kergolson has moved to Portland.
The host disputes that one can reliably beat casino games like blackjack without cheating because casinos are built to ensure negative expected value for players.
Season 11 is planned as a 10–12 episode deep-dive series on human decision-making with occasional breaks for daily-life topics or interviews.
Expected value is defined as the product of an outcome's value and the probability of obtaining it.

In the series, 'value' is defined as subjective worth that can include financial, emotional, and personal-meaning components, not price alone.
Value can be represented on a scale with positive values for liked outcomes and negative values for disliked outcomes.
Utilitarianism is presented as a behavioral principle in which people seek actions that increase utility and avoid actions that decrease utility, with utility treated as value.
Value-based decision-making is framed as applying not only to consumer goods but also to higher-level choices such as careers and partners.

Olaf Kergolson has moved to Portland.
Olaf Kergolson is taking a year off while working on an undisclosed project.
The podcast team plans to release episodes on a consistent weekly schedule and provide advance notice when an episode will be missed.

The host disputes that one can reliably beat casino games like blackjack without cheating because casinos are built to ensure negative expected value for players.
The host argues that lottery participation has lower expected value than not playing because the win probability is extremely small while the ticket cost is certain.
People are described as generally worse at estimating probabilities than values.

Season 11 is planned as a 10–12 episode deep-dive series on human decision-making with occasional breaks for daily-life topics or interviews.
Listeners are asked to treat the series like a course by reflecting on their most- and least-valued foods and by considering expected value as homework before the next episode.

Expected value is defined as the product of an outcome's value and the probability of obtaining it.
Expected value reasoning is applied to everyday choices such as selecting driving routes where time-of-day changes the probability of a quick trip and thus changes expected value.

What is the undisclosed project the host is working on during the year off, and does it affect the podcast’s production capacity or content direction?
Will the podcast actually maintain a consistent weekly release schedule and provide advance notice for missed episodes?
Which specific studies support the reported claims about neural encoding of subjective value and LIP firing-rate modulation by preference?
Under what definitions and measurement procedures are ‘value’ and ‘probability estimation ability’ being assessed in the host’s claims about people being worse at probabilities than values?
What quantitative assumptions (odds, payouts, ticket price, taxation) underlie the host’s claim that lotteries have lower expected value than not playing?

A structured decision-making season with homework could signal audience appetite for course-like educational media formats, potentially benefiting creators and platforms that monetize structured learning and premium content tied to behavioral decision tools.
Emphasis on expected value and probability misestimation highlights persistent consumer misunderstanding of odds, a backdrop that can support demand for financial literacy products and decision-support tooling focused on probabilistic thinking.
Skepticism about beating casino games reinforces the narrative that gambling products deliver negative expected value to players, implying continued regulatory and consumer-protection scrutiny themes around gambling and lottery messaging.

Season 11 launches as a defined 10 to 12 episode course-like sequence with consistent weekly releases and explicit advance notices for misses, indicating operational reliability and stronger content packaging.
The show adds repeatable homework or reflection frameworks that can be reused across episodes, suggesting intent to build standardized educational modules rather than one-off commentary.
Subsequent episodes provide specific quantitative examples for lotteries and blackjack expected value discussions, showing a shift toward more rigorous, data-forward content that can translate into tools or curricula.

Weekly cadence is not maintained and missed episodes are not pre-announced, weakening the operational predictability that could support structured-course positioning.
Season 11 does not follow through on the planned finite deep-dive format and reverts to ad hoc topics without the promised course structure.
Expected value and probability themes remain purely illustrative without quantitative detail or repeatable framework, limiting any credible read-through to educational tooling or structured learning formats.