The Upside of Naivete

When I joined ngram.com as growth lead, I set a target of 10 signups within 2-3 weeks of building the basic growth foundation. I had no idea whether that was realistic. I didn't check an industry benchmark or search for "average signup rates for AI video platforms." I picked a number that felt like meaningful proof and went after it.

The data says this should be a bad way to think. A 2018 NBER study published in the American Economic Review found that the mean age of founders behind the top 0.1% fastest-growing U.S. ventures was 45. Prior industry experience predicted significantly higher entrepreneurial success. On average, experience wins. That's clear. But averages describe the middle of the distribution, and the tails are where world-changing companies get built.

At ngram, we now get 10 signups every day. The original target was naive, absolutely. If I had researched it first, I probably would've found something like 2-3 signups a week and optimized for that. Not knowing the "normal" baseline kept me from anchoring to it. I aimed higher than an experienced growth lead with 10 years in B2B SaaS would have, and it worked. Not knowing the ceiling meant I didn't stop climbing.

George Dantzig ran into a much larger version of that. In 1939, he arrived late to Jerzy Neyman's statistics class at UC Berkeley. Dantzig was a PhD student. He saw two problems on the board, assumed they were homework, copied them down, and solved them at home. A few weeks later, Neyman showed up at his door in disbelief. They weren't homework. They were two of the most famous unsolved problems in statistical theory. Dantzig solved them before anybody told him they were unsolvable. "Naivety, when paired with optimism and skill, is one of the most underrated advantages in business."

Experience teaches you what works, but it also teaches you what "can't" work. After enough time in an industry, your brain matches every new idea to an old failure. You know which channels are "saturated." You know which growth rates are "realistic." You know the benchmarks. An experienced growth marketer can look at a new B2B SaaS product and say, "With this budget, in this niche, we should target 50-100 signups in the first month. That's a solid start." They may be right. It's a "reasonable" target. It is also a ceiling that looks like knowledge.

Still, naivety doesn't produce the same result in everybody. Put two people in front of their first marketing campaign. One says, "I've never done this before, but how hard can it be? Let me figure it out." The other says, "I've never done this before. What if I waste the budget? Maybe we should start smaller." Same experience. Same skill. One aims above their weight class because they don't know the target is "unrealistic." And sometimes, because they aim so high, they hit things veterans never even attempt. The other hedges and treats every setback as proof that caution was right. "Naivety is the amplifier. Optimism or pessimism is the signal it amplifies."

That changes what I would look for when hiring. I would still hire for skill, then look for optimism beside it. Ask candidates about a time they attempted something without knowing whether it was possible. Listen for "I wasn't sure it would work, so I was cautious" versus "I had no idea if it would work, so I just tried it." But the skill part cannot disappear. Dantzig was a brilliant mathematician. Gates could code. Jobs had taste and vision. Zuckerberg was a gifted programmer. Their naivety was about context, not competence. Without skill, it is just ignorance and chaos.

Bill Gates left Harvard at 20 to start Microsoft while the personal-computer industry barely existed. There was no established playbook to follow. Steve Jobs co-founded Apple at 21 without an engineering degree and designed from intuition and taste instead of market research. The rest of the industry built for engineers; he built for humans. That felt naive at the time. Their capability mattered. So did not having decades of failed patterns telling them to aim lower.

The ngram target changed how I use benchmarks too. Set the target first. Decide what success means before looking up what is "normal." Use the benchmark as a sanity check afterward. Starting with it can anchor the whole attempt to mediocrity.

Mark Zuckerberg launched Facebook from a dorm room at 19. A year later, Yahoo offered $1 billion to buy it. He turned it down. Every experienced advisor told him he was insane. Meta is now worth more than $1.5 trillion. A seasoned executive would have taken the billion because that's what you're "supposed to" do. Patrick and John Collison started Stripe at 19 and 21. Two Irish teenagers decided to fix online payments, a problem massive banks had struggled with for years. They had no fintech or regulatory experience. They just thought existing solutions were bad and started building. Stripe is now valued at more than $65 billion.

AI will make more of this "experience-based knowledge" available to everyone. Best practices, playbooks, benchmarks, all reachable in 30 seconds. Once everybody can know the playbook, knowing it stops being much of an advantage. The advantage moves toward people willing to ignore what is "supposed to" work and try something different. The biggest breakthroughs have always come from people who didn't know the rules, and that will matter even more as the rules get easier to find.

Knowing the playbook can also become a filter. Evan Spiegel launched Snapchat at 21, and every experienced person in Silicon Valley called disappearing messages a toy. Snap now has more than 850 million monthly active users. "None of them had enough experience to know the rules of their industry. Because they didn't know the rules, they didn't play by them." This is why I wouldn't over-validate every creative idea. Validation has a place. But if Snapchat had gone through market research with experienced social-media executives in 2011, it would have died in the concept phase. Some ideas only get room to breathe because nobody has explained why they won't.

The point isn't to know less. Dantzig still needed the mathematics, and I still needed enough growth skill to do something with the target. But the 2-3-signups-a-week benchmark would've been useful after the attempt. At the start, it would've been a ceiling.