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I've been managing money and advising startups for over a decade. In that time, I've seen more bad risk management than good. Most advice out there is either too academic to be useful or too generic to apply. So here's what I've learned—the hard way.

Start with First Principles, Not Templates

When someone asks me "what are your strategies for managing risk and uncertainty?", my first answer is always: stop looking for a template. Every situation is different. The risk of launching a new product isn't the same as the risk of investing in crypto. You have to break it down.

I start by asking: What is the worst that can happen? Not in a dramatic way—I literally list out the top 3 outcomes that would hurt me most. Then I ask: How likely is each, really? Most people overestimate rare risks and underestimate slow-burn risks. For example, I've seen founders obsess over competitors stealing their idea, but ignore the risk of their co-founder quitting. That misalignment cost me a startup once.

My First-Principles Framework

  • Identify the core uncertainty – Is it market, execution, or regulatory?
  • Separate known unknowns from unknown unknowns – You can't plan for everything, but you can build resilience.
  • Assign a rough probability – Not precise, just order of magnitude.
  • Decide: avoid, reduce, transfer, or accept. That's it.

This sounds simple, but I rarely see it done well. People jump to hedging or insurance without understanding what they're protecting against. It's like buying an umbrella when you live in a desert.

Why Diversification Alone Is a Lie

Diversification is the most overrated risk strategy. Yes, don't put all eggs in one basket. But blind diversification—spreading yourself thin across 20 things you don't understand—creates a false sense of safety. I learned this when I invested in a 'diversified' portfolio of 15 startups. Turned out 12 were in the same niche market that collapsed. True diversification means correlation matters.

My strategy: Concentrate on high-conviction bets, then create asymmetry. Look for situations where the upside is huge and the downside is limited. That's real risk management. For example, I invested in a small biotech firm that had a 90% chance of failure. But if it worked, I'd 10x my money. The total amount I put in was something I could lose entirely. That's a calculated risk, not a gamble.

Scenario Planning: Prepare for Multiple Futures

Uncertainty means you don't know which future will happen. So you build for several. I use a simple three-scenario approach:

  • Base case – Most likely outcome.
  • Upside – What if everything goes better than expected?
  • Downside – What if the worst happens?

For each scenario, I list the top 3 things that would change my decision. Then I create triggers to act. For example, in a recent project, I set a rule: If revenue drops 20% month over month, we pivot immediately. That trigger saved me months of denial.

I also stress-test my assumptions. I force myself to argue the opposite side. "What if this competitor actually does enter our market?" It's uncomfortable, but it reveals blind spots.

Build Optionality, Not Just Hedges

Hedging is defensive. Optionality is offensive. I focus on keeping my options open. That means maintaining liquidity, avoiding long-term commitments when possible, and investing in skills that work across industries.

One concrete example: When I consult with startups, I advise them to build products that can be adapted to different markets. Not a single-use feature. That way, if the primary market dries up, they can pivot without starting from zero. I call it "the Swiss Army knife approach"—not a single tool, but multiple uses.

Optionality also applies to personal career. I never put all my income into one source. Side projects, investments, consulting—they all give me room to breathe when the main thing hits a rough patch.

Psychological Traps That Kill Good Strategy

Even with the best plans, we screw it up. Here are the traps I've fallen into—and how I fight them:

  • Overconfidence – After a few successes, I thought I had it figured out. Nope. A market correction humbled me quickly. Now I keep a "commitment journal" where I write down why I'm making a decision. Re-reading it later shows how wrong I was.
  • Loss aversion – I've held losing positions way too long because I didn't want to realize the loss. The fix: set stop-losses in advance and stick to them.
  • Recency bias – The last event dominates our thinking. After a crash, everyone becomes paranoid; after a bull run, they become reckless. I try to look at the long-term data, not just the last quarter.

I'm not perfect at any of these. But being aware of the traps is half the battle.

Frequently Asked Questions

How do I balance risk and reward when starting a new business?
Don't try to reduce all risk. Instead, identify the one or two risks that could kill your business and test them first. The rest can be managed as you go. For example, if your biggest risk is customer acquisition, spend time validating that before building a full product.
Is it possible to completely eliminate uncertainty?
No, and trying to is a mistake. Uncertainty is part of life. The goal is not to eliminate it but to build resilience so you can survive and thrive when the unexpected happens. That means having a cash buffer, a backup plan, and a network you can rely on.
What's the biggest mistake people make in risk management?
Thinking that past performance guarantees future safety. Just because a strategy worked in 2020 doesn't mean it'll work in the next market. I've seen people rely on the same hedging strategy for years without checking if the assumptions still hold. Always revisit your risk model.