Zero to Traction
Zero to Traction
The "hype or hypothesis" edition
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The "hype or hypothesis" edition

Hype is great for your ego, but if you’re not testing real hypotheses, you’re just shouting into the void — so get scientific or get sidelined.

Hype is fun, but hypotheses get results. In this episode, Zero to Traction tackles the crucial difference between startup optimism and actual, testable assumptions. Hosts Josh David Miller (JDM) and Cameron Law break down how to turn your assumptions into actionable hypotheses, run meaningful experiments, and avoid the trap of just “seeing what happens.”

✅ Why hype alone won’t get you funded (or customers)

✅ The three must-have elements of a real hypothesis

✅ Why testing too many things at once is the startup equivalent of astrology

✅ How to set realistic, falsifiable targets for your experiments

✅ What to do when your data doesn’t match your expectations

Plus, Cameron stays committed to Apple TV shows, JDM rediscovers his Remarkable tablet, and both hosts try to survive Startup Challenge Week with minimal existential crises.


Takeaways & Highlights

Hype ≠ Validation

• Founders love to talk up their startup (because, duh).

• But without testable hypotheses, it’s just storytelling.

• Data-driven validation creates real hype that investors and customers believe.

How to Write a Good Hypothesis

A real hypothesis has three critical components:

1️⃣ Precision – Define who will take what action how and when.

2️⃣ Discreteness – Test one assumption at a time, or risk meaningless results.

3️⃣ Falsifiability – Make sure your hypothesis can be proven wrong, not just massaged into “success.”

Why “Seeing What Happens” is for Amateurs

  • Running an experiment without a hypothesis is just rolling the dice.

  • If you don’t set a clear expected outcome, you’ll find a way to claim success no matter what.

  • If your test isn’t falsifiable, it’s a waste of time.

Choosing the Right Target Metric

  • Don’t just pick a number out of thin air—tie it to your startup’s business model assumptions.

  • If your target is too high, you may be overconfident.

  • If it’s too low, you might just be trying to game the test.


Frivolous Thoughts of the Week

  • Cameron dives into Dope Thief — a crime thriller about fake DEA agents that might be too good at their jobs.

  • JDM dusts off his Remarkable tablet for sketching startup concepts and giving talks with on-the-fly infographics.

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