Earlier quoted context omitted.
> Wow, that's an ingenious hack that makes a lot of sense in hindsight. What was your thought process and how did it lead to that? Was it solving a similar problem in another domain? I've read your comment thrice and have not been able to understand it! It's starts out mildly reasonable, then drifts out into bot-territory
I'm mildly offended that you trivialized my comment. I'm even more confused because I believe my questions are completely valid, and you're not taking them at face value. To rephrase: Have you ever encountered a flash of insight that seemed to approach a challenge from a completely different angle? It could be something like someone solving a deeply technical problem in a non-technical way, or the first time you were…
Data on the uselessness of LinkedIn endorsements
151–156 of 156 posts
Re: Data on the uselessness of LinkedIn endorsements
#152Earlier quoted context omitted.
Author here. I appreciate the notes and am happy to revisit and make corrections when needed. To respond to your points: 1. As a sanity check, I did do a t-test of technical ability vs. # of endorsements before publishing. There is no statistically significant relationship between the 2. (P 2. What do you mean by "language matters here" (re the histogram)?
Hope it was helpful. It's unclear what you t-tested here. Ideally, you would test for difference between groups of "Is there a difference in number of endorsements between people who got a "yes" in advancing to the next round or not". As a followup, is there a difference between those who's preferred was most endorsed or not? I'm a bit stunned that you didn't recognize Language as programming language...... :( As an…
Re: Data on the uselessness of LinkedIn endorsements
#153Earlier quoted context omitted.
When endorsements came out, some friends and I discovered that you could endorse people for violent crimes. Yes, you too can endorse your connections for murder, kidnapping, and terrorism.
I distinctly remember "Homicide", which is actually a specialty intended for attorneys working in criminal law.
Re: Data on the uselessness of LinkedIn endorsements
#154There should be a law punishing arbitrary linear fits and ridiculous claims which are concluded from their correlation.
Re: Data on the uselessness of LinkedIn endorsements
#155Re: Data on the uselessness of LinkedIn endorsements
#156Earlier quoted context omitted.
I'm mildly offended that you trivialized my comment. I'm even more confused because I believe my questions are completely valid, and you're not taking them at face value. To rephrase: Have you ever encountered a flash of insight that seemed to approach a challenge from a completely different angle? It could be something like someone solving a deeply technical problem in a non-technical way, or the first time you were…
Apologies -- I could have phrased it better. Your explanation above provides clear context for your original question.