When you hear that data centers use "millions of gallons of water," what is that number measuring?

This episode breaks down how water use is calculated, how electricity and manufacturing get bundled into a single figure, and why that can lead to solving the wrong problem. A real-world example of how measurement, attribution, and assumptions shape the way we think—and what we do next.

[ Audio updated on March 22 to correct a brief overlap around 8:00 ]

I came across a video analyzing beers like Michelob Ultra, Stella Artois, Coors Light, Bud Light, and Heineken—and it's a perfect example of how reasoning breaks.

The video sounds scientific.
It cites studies.
It feels authoritative.

That's what makes it dangerous—not for beer drinkers - for how we think.

This episode is not a debate about beer quality.
It's a case study in how intelligent-sounding arguments can be built on misframing, selective evidence, and stacked assumptions.

We'll walk through patterns like:

• Detection ≠ risk
• Single cause ≠ complex outcome
• Narrative vs model
• When data creates less clarity, not more

If you start with the wrong question, you can reason your way to the wrong answer, perfectly.

Once you see this pattern, it shows up everywhere.

SHOW NOTES

References

The sources below are included so you can examine the original material directly and evaluate the reasoning for yourself.

Video referenced in this article:
8 Beer Brands Americans Should Avoid And 4 Cleaner Picks
https://www.youtube.com/watch?app=desktop&v=_Ap8vnNNg-c

Primary report cited in the video:
Cook, Kara. Glyphosate in Beer and Wine – Test Results and Future Solutions.
U.S. PIRG Education Fund, February 2019.
https://publicinterestnetwork.org/wp-content/uploads/2019/02/beer-wine-report-pirg-final-with-cover.pdf

Related article from the same organization:
Glyphosate pesticide in beer and wine: Six years after our study found it in beverages, this potential carcinogen is still being widely used across the U.S.
https://pirg.org/edfund/resources/glyphosate-pesticide-in-beer-and-wine/

My guest is Noah Healy, inventor of the Coordinated Discovery Market (CDM) — a proposed structural change to how commodity markets are priced and stabilized.

Noah's patent application for CDM was initially allowed, then later reversed in an unusual move, without a clear explanation of what had changed. After years of resistance and appeals, his case has now been accepted and docketed by the U.S. Supreme Court.

In this conversation, we step back and look at the larger problem:
What is structurally broken in commodity market trading that leads to price spikes, volatility, and shortages — and why are those outcomes often treated as inevitable?

We discuss:

• How current commodity markets actually work — and where they fail
• What CDM proposes to change at a system level
• Why stabilizing supply and reducing prices are often seen as incompatible — and why they may not be
• What a Supreme Court decision could mean, not just for CDM, but for innovation, patents, and market design more broadly

This episode isn't about politics or trading tips. It's about how markets are structured, who benefits from volatility, and what it takes for genuinely novel ideas to survive institutional resistance.

Show notes + MORE

This episode is the conversation that led to my solo essay and episode, Division Isn't a Mystery. It's a System.

In this mostly unedited discussion, I'm joined by John Abrons to think through why so many issues in America feel increasingly divided — why common explanations miss what's actually happening beneath the surface.

Rather than debating positions or defending beliefs, the conversation focuses on how polarization forms, how systems reward behaviors, and disagreement gets collapsed into sides and certainty.

The discussion is intentionally messy. It reflects real thinking in motion, not a polished argument or a pre-decided conclusion.

America feels divided in a way that goes beyond disagreement. Disagreement is normal. What we're experiencing feels different, urgent, harder to resolve.

In this solo episode, Daniel Stih expands on his essay Division Isn't a Mystery. It's a System. Rather than arguing issues or taking sides, the episode examines the mechanics and patterns that repeatedly turn different events into polarization.

• Why division doesn't require conspiracy or bad actors
• How extreme events dominate our perceptions and choices
• The role of algorithms
• Why reacting strongly narrows, instead of expands, solutions.
• Where individual choice exists

This an attempt to slow things down enough to see how the system works and where restraint can change outcomes at the edges.

Read the full artice:
Division Isn't a Mystery. It's a System.

In this companion episode, I make the reasoning path explicit behind the idea that battery fire safety on airplanes is focused on the symptom, not the cause. I walk through the assumptions I questioned, the sequence of thinking that led to the conclusion, and how to talk about this without it turning into a debate about airlines or regulation.

This isn't about persuading anyone — it's about understanding the structure well enough to carry the conversation without losing the thread.

Lithium battery fires on airplanes are rare. When they happen, they're dangerous, disruptive, and costly. What's interesting is how we've chosen to deal with that risk.

The aviation safety strategy what to do after a device is on fire — containment bags, emergency procedures, and diversion. Those measures work. They're also fundamentally reactive.

In this episode, I offer a clean way to think about the problem. Using lithium battery fires as a case study, we'll examine:

• What actually causes lithium battery fires (thermal runaway)
• Why phone and laptop batteries fail in predictable ways
• How aircraft are trained to handle in-cabin battery fires
• Why containment isn't the same as prevention
• What an upstream, design-based safety approach could look like

This is a systems-level look at how aviation safety has historically improved — moving risk controls upstream into design standards, rather than relying on emergency response.

I walk through common objections, including:

• Don't batteries already meet safety standards?
• How could something such as this be enforced in practice?
• How do you reduce risk without unfairly burdening passengers?

If you're interested in aviation safety, engineering, or simply how complex systems fail and improve, this episode is for you.

What the iPhone's latest UI change reveals about a recurring design failure mode

A recent iPhone UI update sparked a broader question: what happens when style starts to lead function?

I explore why highly stylized interfaces can feel exciting at first—yet introduce subtle friction, reduce clarity, and age poorly under real-world use. This isn't about taste or Apple. It's about understanding a recurring design failure mode that shows up across software, products, and systems.

Walk away with this question:
Does this design choice improve clarity under real-world conditions—or just aesthetic novelty?

#DesignThinking #UXDesign #ProductDesign