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Joined 1 year ago
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Cake day: June 21st, 2023

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  • The final summary of the article you linked:

    “Using 105,950 observations from 32 different studies we find that CVC investments are performance enhancing, for both corporations and start-ups. Our results detect that time, country, and industry moderate the effects. Especially after the Dotcom bubble burst, high performance is detected. Similarly, the performance in the U.S. outreaches the performance of other countries. Due to the high risk of successfully developing a pharmaceutical drug, no statistically significant effect of CVC investments in the health care industry is observed. As expected, strategic performance outperforms financial impacts. Although there is good rationale for a clear strategic focus, the finding that CVC investment does not lead to stronger financial performance is surprising and urges practitioners to rethink their CVC objectives and approach”

    Disregarding the fact that this is only looking at CVCs and not traditional VCs, I don’t think this really supports your argument that it is a dice roll at best. Seems to me like it is broadly beneficial with some caveats.








  • KarmaTrainCaboose@lemmy.worldtoMemes@lemmy.mlAstonishing
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    1 year ago

    Yes I think it’s very possible that if you were to graph a population’s Intelligence using a some empirical score, then it has a high probability to NOT look exactly like a normal distribution.

    For example, let’s say that there was some score called “intelligence score” that scores people’s intelligence from 0-100. Do you think that if you were to graph a given population’s “intelligence score” that it would be EXACTLY centered around 50 in a Normal distribution? I think that’s unlikely. It’s more likely that there would be local maximums or minimums, or various skews in the graph. There could be a small peak at score 75, or a trough at 85. There could be all sorts of distributions.

    And guess what? Given this hypothetical distribution, you could STILL draw lines somewhere on the graph showing quartiles. Those lines might not be at 25-50-75. They might not even be the same distance apart from each other. But you CAN draw them somewhere to split the scores. Just because a graph “has quartiles” does not mean it will always look like the OP.




  • Are you serious? Look at that map. Those yellow areas are absolutely massive. It includes huge swathes of suburban areas, not “dense cities”. I mean look at Dallas, Atlanta, or SoCal in that pic. My point is that in those suburban areas most people are not within a reasonable walking distance of a grocery store.

    Just because they’re centered around a major metro area doesn’t mean the people living there are close to one. I live in on of those cities in what someone would consider an “urban/suburban” area. For me to walk to my closest grocery store it would take me 30 minutes each way according to Google maps. That’s not reasonable. Keep in mind that you’ve got to actually carry the groceries on the way back. And I’m probably in a denser area than most.

    EDIT: According to the USDA, americans are on average 2.2 miles from a SNAP authorized store. That’s a 45 minute walk each way. No Americans are not just “lazy” for not walking to the store. It just isn’t a reasonable think to do at all.