What is the percentage attrition? 2%? I wasn't able to get it clearly from the article.
I think percentage is what we should focusing on instead of the total numbers considering the total population.
Thanks for all the great advices and comments here.
Every job has its ups and downs. Though I agree that if you constantly feel down time, that probably the time you take a break.
What I find hard is that no single method works for me for a very long time. (Probably because it can trigger the bad memory? ) So I need to find a new approach when I find the old one does not work any more.
Especially our HN accounts where we say the NSA/TSA/FBI are threats to our safety (depending on context) and we use false names with burner phone-based authentication on Facebook. Honest question, I still wonder what is so bad that I'm now using the same protections as criminals, apart from hiding that I don't want to be tracked.
we (me and another guy) used that as the project/essay topic for a AI graduate class. We evaluated that using google n-gram are outperformed standard grammar checker/suggestion, especially with sentences & long phases (although i can't recall how solid the evaluation went. how large is our testing data set. After all, this is all done in a semester class). And developed a plugin in open-office for that.
Many years passed. This kind reminded me of that. Not sure if there is something similar now in the market? If not, i think I can try to dig out what left in the project. God, i love those simple times.
Edit: just recalled that we were inspired by some paper about taking advantage of n-gram at the time.
and I just found this half yr ago post https://news.ycombinator.com/item?id=12752671