Via Negativa: Why Removing Things Works Better Than Adding Them

There's an asymmetry in what we know: we know what's wrong with more clarity than we know what's right. We can identify what harms with more confidence than we can identify what helps. We understand failure modes better than success modes, because failure is usually more specific and more detectable than success.

Nassim Taleb calls this the via negativa principle — the path of removal. And he argues it's systematically more reliable than the via positiva — the path of addition.

The Two Paths

Via positiva (the way of addition): improve by adding. Add treatments, add regulations, add interventions, add protocols. Fix problems by constructing solutions.

Via negativa (the way of removal): improve by subtracting. Remove what is harmful, fragile, or failing. Fix problems by eliminating their causes.

The via negativa is not merely conservative preference for inaction. It's an epistemological claim: our knowledge of what to remove is usually more reliable than our knowledge of what to add.

Why? Because removal has a tighter feedback loop. If you remove something that was actually beneficial, the system degrades and you can detect it. If you add something that's actually harmful, the harm may be delayed, indirect, or masked by other factors. Addition hides its errors; removal reveals them.

The Medical Application

The clearest application of via negativa is in medicine. Most of the major improvements in human health over the last 200 years have come from removal, not addition:

Clean water (removing contamination). Sanitation (removing waste from living areas). Antiseptic technique (removing pathogens from surgical sites). Smoking cessation (removing a carcinogen). Lead removal from gasoline and paint (removing a neurotoxin from the environment).

The greatest pharmaceutical additions — vaccines, antibiotics — are also at their core removals: removing the pathogen that would otherwise colonize you.

The complementary observation: many well-intentioned medical additions have produced harm. Trans-fats were added to food as a "healthier" alternative to saturated fats — the evidence for this was weak and the harm took decades to become apparent. Hormone replacement therapy was added as a menopausal treatment — the long-term cancer risk wasn't established until after widespread adoption. Opioid prescriptions were added as pain management — the addiction epidemic followed.

Each harmful addition was authorized by experts, supported by some evidence at the time, and propagated by systems with no skin in the consequences. The via negativa heuristic — don't add unless the evidence for benefit is overwhelming and the risk of harm is near zero — would have prevented each of these.

The Investment Application

In investing, via negativa translates to: knowing what not to do is more valuable than knowing what to do.

The strategy of eliminating the worst risks — catastrophic loss, excessive leverage, correlation blind spots, liquidity traps — is more reliably profitable than the strategy of identifying the best opportunities. The reason: opportunity identification requires being right. Risk elimination requires identifying what to avoid, which is a less uncertain task.

This is why Taleb's approach to portfolio construction emphasizes asymmetric structures — large positions in maximally safe instruments, small positions in maximally asymmetric bets — rather than optimizing for expected return. The architecture eliminates ruin risk first; it only then asks what can be gained.

Warren Buffett's famous first rule ("never lose money") and second rule ("never forget the first rule") are via negativa expressed as investment philosophy. The removal of catastrophic loss is worth more than the identification of great opportunities, because catastrophic loss ends the game.

The Diet Application

The most practically useful application of via negativa for most people is diet.

Nutritional science has produced an enormous volume of advice about what to eat — specific foods, supplements, macronutrient ratios, timing protocols. Much of this advice contradicts what was advised ten years earlier and will likely be contradicted by advice ten years from now.

The via negativa version: eliminate what is clearly harmful, and eat the rest. Remove ultra-processed foods, which have strong evidence of harm. Remove added sugar above a threshold. Remove trans-fats. Remove whatever you personally know makes you feel worse.

What remains is a perfectly functional, highly varied diet that doesn't require expertise in nutritional biochemistry and won't be invalidated by the next consensus reversal. The removal strategy is more robust to uncertainty than the addition strategy precisely because we're more certain about harms than benefits.

The Policy Application

The interventionista (Cluster 1b) fails because they apply via positiva — adding interventions — to systems they don't understand. Via negativa applied to policy means: before you intervene, first ask what harm you might cause. Then ask whether the harm you're trying to prevent is worse than the harm you might create.

This is not the same as never intervening. It's a prior question. The interventionista skips it entirely, focusing on the desired outcome of the intervention without seriously modeling what the intervention might break.

"Things designed by people without skin in the game tend to grow in complication (before their final collapse)."

The complication is the via positiva in action: every failure gets addressed by adding another mechanism, another rule, another layer. The system grows until it collapses under its own complexity. Via negativa would have pruned the system before it reached that point.

The Practical Heuristic

The via negativa heuristic translates to: before doing, ask what to stop doing. Before adding, ask what to remove. Before solving, ask whether the problem disappears if you eliminate its cause rather than treating its symptoms.

This is harder than it sounds because it runs against institutional incentives. Institutions are rewarded for adding — adding programs, adding protocols, adding staff, adding regulations. Removing is invisible; adding is visible. Doing nothing — when nothing is the right answer — looks like inaction rather than wisdom.

The person with skin in the game doesn't have the luxury of this bias. They pay for adding the wrong thing. Via negativa isn't just epistemologically sound; it's what skin in the game produces when it's applied consistently.

For the full framework, read Skin in the Game Explained.