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Most places I've worked have roadmaps, i.e. investable priorities.

If you can burn through lower priority experiments quickly it's great!

They might be working on all of the super high level things they can think of, but there are always more A/B tests, more features, etc. that are just lower priority, and the chaos of scaling up the org to address them all is super linear whereas the return on going down the list is sub linear.

So you end up with an equilibrium. If the cost shifts, just like in econ 101, the output will change.

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