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This is a decent start. However, the data set is statistically insignificant. Only 52 founders? HBR can do much better than this.
by pdevr 13y ago
This is a decent start. However, the data set is statistically insignificant. Only 52 founders? HBR can do much better than this.
- ganeumann 13y agoAgree. I read the part where they "were limited by having to do manual research" on LinkedIn: essentially typing in the founders' names and hitting return. They did this 52 times. Get some grad students and put them to work. You'll have a couple thousand in no time. I once emailed Reid Hoffman (a friend knows him) proposing to do an analysis of the life-cycle of an entrepreneur (age, what jobs they held before founding, repeat founder success, etc.) I never heard back from him; I'm sure he's got better things to do. But I wish LinkedIn would set up a data-mining department, like OKCupid's. They could do some really interesting stuff.
- rubyrescue 13y agoLI has a very large data mining department, they just don't publish what they are doing. Just look on LI for employees of LinkedIn that are data scientists; it's a substantial team. Source: I'm trying to hire data scientists and I am learning where they are...
- jsanroman 13y agoI thought statistical significance started at 30 data points