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Comment by ckemere | Hacker News Reader

Unimpressed by data presentation, with different entries for: "Massachusetts Institute of Technology; Massachusetts Institute of Technology - Sloan School of Management; MIT - Sloan School of Management; and MIT". Similar overlap for most other institutions on the list. If I was writing a blog post that was going to offer raw data for $4.99 and advertise an AI-driven data analytics product, I'd at least present well curated data in my Figure 1. But maybe that's why I'm still in academia and not in a startup....

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Sharp eyes. I can also see "University of California, Berkeley" near the top of the figure and "UC Berkeley" near the bottom of the figure.

But agreed that the point of this dataset is not accuracy or explanatory power... it's to drive some clicks to a $4.99 Stripe flow and to "an AI powered data-driven market intelligence platform for private growth stage investors". HN loves eating up content-marking.

I could argue for breaking out business schools or not breaking out business schools but but you should do it cleanly and consistently.

I'd probably also argue that the headline is at least suggestive that the data is adjusted for school size and I don't believe it is. (Again, not clear if it should be or not but should be clear that this is about aggregates at the institution level.)

Berkeley occurs 4 times in the list. Similar repetitions occur for other schools.

  University of California, Berkeley
  University of California, Berkeley, Haas School of Business
  University of California, Berkeley - Walter A. Haas School of Business
  UC Berkeley

The data should also be scaled per-capita otherwise large schools have an advantage.

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