Knowledge Turns Matter Into Resources
Test any scarcity claim by asking what new knowledge would dissolve it.
- Difficulty
- Easy
- Time to result
- ~weeks to results
- Steps
- 6
- Confidence
- 79%
Sixty years ago, colour television meant firing electrons at a phosphor screen, and the red phosphor required europium — the only element on the periodic table that glows the right red. There is a finite amount of europium on Earth, and consumption by cathode ray tube manufacturers was rising, so the arithmetic said colour television would run out. The arithmetic was correct and the conclusion was wrong: nobody has cathode ray tubes anymore. The scarcity attached to a process, not to the function. That is the general shape. A resource is just something that knowledge lets you convert from one thing into another — uranium was worthless until it wasn't, coal was worthless to a caveman. So every finite-resource model implicitly assumes finite knowledge, freezing the current stock of ideas and calculating from there. The productive question is never how much is left, but what knowledge would make the constraint irrelevant.
Origin
The europium parable from David Deutsch's The Beginning of Infinity, unpacked on Naval alongside the running-out-of-resources and too-many-shoes arguments.
Core principles
- 01A resource is anything knowledge lets you convert from one thing into another.
- 02Every finite-resource forecast secretly assumes knowledge creation has stopped.
- 03The constraint is almost never the material; it is the process that needs it.
- 04Where you draw the boundary — town, planet, solar system — is a choice, not a fact.
- 05Things that are worthless today become resources when the knowledge arrives.
How to run it
- 1
Write the scarcity claim out in full
State the claim precisely: which input, over what horizon, consumed by whom. Vague scarcity narratives cannot be examined; specific ones can.
Pro tip Note the technology the forecast assumes — it is usually the technology that exists on the day the forecast was made.
- 2
Separate the function from the process
Ask what job the scarce input actually performs. Colour television is the function; exciting europium with electrons was only one process for delivering it.
Pro tip Write the function as a verb phrase — 'produce red light on a screen' — not as the name of the material.
Watch out If you cannot name the function, you will keep defending the process.
- 3
Look for substitute processes
Search for other ways the same function could be delivered, including ones that are currently uneconomic. LCD and plasma screens delivered colour television with nothing to do with europium.
Pro tip Weak, early substitutes matter more than mature ones — they are where the knowledge is compounding.
- 4
Interrogate the boundary
Ask why the scarcity was computed over this particular region. Why the Earth and not the town, the solar system, the galaxy? The boundary is chosen, and the choice usually drives the conclusion.
Pro tip Redo the same calculation one boundary out and see how much of the conclusion survives.
Watch out A boundary that feels natural — 'the planet' — is still an assumption doing heavy lifting.
- 5
Find today's worthless inputs
List materials, byproducts or capacity that nobody currently values, and ask what knowledge would make them resources. Coal, iron and uranium all sat in that category once.
Pro tip The best asymmetric bets sit on inputs that are cheap precisely because the enabling knowledge does not exist yet.
- 6
Back the knowledge, not the hoard
Direct capital and attention to creating the knowledge that dissolves the constraint rather than to stockpiling the constrained input.
Pro tip Ask what would have to be true in five years for this constraint to look quaint, then fund that.
Watch out Hoarding an input is a bet that no substitute arrives — historically the losing side of this trade.
In the wild
When colour television was first manufactured, sets used cathode ray tubes that fired electrons at a phosphorescent screen. The red pixels needed europium, the only element that glows the required red when excited. The stock of europium on Earth is finite and cathode ray tube manufacturing was consuming it, so scientists had a robust mathematical argument that the number of tubes was bounded. The maths was fine. The prediction failed anyway, because nobody has cathode ray tubes anymore — LCD and plasma screens deliver colour television with no relationship to europium at all, and something else will replace those.
→ A correct calculation produced a false forecast, because the constraint belonged to a process that knowledge replaced.
A venture capitalist argued that the sheer number of sneaker lines proved capitalism had failed — society had clearly overshot. The reply was a question: when exactly did you know there were too many shoes? Before that moment we needed stretchier shoes, more durable shoes, thicker soles, lighter uppers, all kinds of shoe innovation. Then at some point somebody decides we now have enough and the other lines should be killed. The claim requires you to have been born at precisely the right moment to identify the saturation point.
→ The saturation argument collapses once you have to name the date on which further knowledge stopped being useful.
Common mistakes
Confusing the current process with the function
Scarcity forecasts almost always price a specific technology's input needs, then present the result as a limit on the underlying capability.
Defaulting the boundary to the Earth
The finite-planet framing is inherited, not derived; the same reasoning applied to a town or a solar system produces very different conclusions.
Flipping to unfalsifiable optimism
The model says knowledge can dissolve constraints, not that it will arrive on your schedule; using it to wave away every real near-term shortage is the mirror-image error.
Is it for you?
Best for
Investors, strategists and builders evaluating running-out-of-X narratives about commodities, energy, materials, or market saturation.
Not ideal for
Short-horizon operational planning where the relevant supply constraint genuinely is fixed within the decision window.
From the transcript
“A resource is just something that through knowledge you can convert from one thing to another.”
“But the deeper point is no one has cathode ray tubes anymore.”
“So, this finite resource model of the world implicitly assumes finite knowledge.”
From the episode
The Beginning of Infinity, Part 2