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I don't get it. 1) People on HN say the person isn't educated, so you link her degrees in varying fields (not statistics or epidemiology). 2) People on HN say

by serf 6y ago

I don't get it. 1) People on HN say the person isn't educated, so you link her degrees in varying fields (not statistics or epidemiology). 2) People on HN say that those fields are irrelevant to her work, so you explain their relevance to the field of statistics. 3) People say on HN that credentials don't matter as long as you're doing the work of a data scientist, at which point you declare the importance of a relevant degree to the field. So, which is it that draws importance? The college-level education of any kind, or the credentials that establish the doctor? I find your opinions to be largely at-odds with one another. Personally : I don't care at all about credentials if the quality is there. With regards to this specific case, i'll wait until the facts are in -- but it rubs me the wrong way that authorities don't want to speak of her charges even though she's available and willing to cooperate from what I read in the article. P.S. I share your pain with those that edit comments in a dishonest way post-reply. It's a real problem on HN.

nix23 6y ago
>I don't get it. -I just said that she is probably perfectly capable of interpreting simple data. -That you don't have to be a "data scientist" to understand simple data. -Data Scientist is not a real Job but a base training (learn tooling and a bit statistic) -A Mathematician/statistician/scientific-programmer has probably more of a clue what data's and statistics are and how to interpret them then any "based trained data-scientist". -If it's so complicated you would need a specialized covid-data-scientist/mathematician, but it's NOT....compared to let's say, what Surgeons do...hence the degree in Medicine, with specialization on surgery. I did not say she's wrong or right, but to say that someone has no clue because he/she is not even specialized in "fill in occupation" or employed as "fill in occupation" is just plain wrong, and shuts down every other opinion. Just look for a example at Apollo 1, a fireman or chemist would have probably said: WHAT! filling the Cabin with pure oxygen is a terrible idea!! But he's/she is not a Astronaut, Doctor or Rocket Scientist. With the logic here, he's maybe capable of understanding rocket-fuel or how to put out fires, but has no clue of humans and what they need in space...and he's not even employed as Human-equipment-specialist.

by serf 6y ago

nix23 6y ago

>I don't get it. -I just said that she is probably perfectly capable of interpreting simple data. -That you don't have to be a "data scientist" to understand simple data. -Data Scientist is not a real Job but a base training (learn tooling and a bit statistic) -A Mathematician/statistician/scientific-programmer has probably more of a clue what data's and statistics are and how to interpret them then any "based trained data-scientist". -If it's so complicated you would need a specialized covid-data-scientist/mathematician, but it's NOT....compared to let's say, what Surgeons do...hence the degree in Medicine, with specialization on surgery. I did not say she's wrong or right, but to say that someone has no clue because he/she is not even specialized in "fill in occupation" or employed as "fill in occupation" is just plain wrong, and shuts down every other opinion. Just look for a example at Apollo 1, a fireman or chemist would have probably said: WHAT! filling the Cabin with pure oxygen is a terrible idea!! But he's/she is not a Astronaut, Doctor or Rocket Scientist. With the logic here, he's maybe capable of understanding rocket-fuel or how to put out fires, but has no clue of humans and what they need in space...and he's not even employed as Human-equipment-specialist.