4 ms·

This thread has the strongest 'pseudoexpert-statistical-bro' vibe I ever experienced. It's amazing! You can have your own beliefs regarding COVID, but it surely

by rscho 5y ago

This thread has the strongest 'pseudoexpert-statistical-bro' vibe I ever experienced. It's amazing! You can have your own beliefs regarding COVID, but it surely revealed a lot about the social perception of statistics... #-/

deepnotderp 5y ago
As opposed to "experts" who always have rock solid statistical knowledge (/s): https://stats.stackexchange.com/questions/38403/what-causes-the-discontinuity-in-the-distribution-of-published-p-values-at-p https://stats.stackexchange.com/questions/38403/what-causes-... https://en.wikipedia.org/wiki/Misuse_of_p-values https://en.wikipedia.org/wiki/Misuse_of_p-values I wish that people would stop disparaging attempts to contribute from people outside the specialized ingroup. This stuff is hard, what counts as a hypothesis test for instance? Should datasets be locked and each view counted as a hypothesis? That's a very reasonable debate.
- rscho 5y ago
  Contribute what? Mathematically incorrect statements don't seem very useful to me... After cursory examination, I don't understand your point regarding the stackexchange link. As for hypothesis testing, I also fail to see how that is supposedly poorly defined.
  - deepnotderp 5y ago
    Slide 12 onwards illustrates my regarding hypothesis testing in the sciences: https://indico.cern.ch/event/995950/attachments/2171998/3676039/slides.pdf https://indico.cern.ch/event/995950/attachments/2171998/3676... Say you have a dataset with several variables and you’re looking for correlations between them. If 20 different groups separately download the dataset and test hypotheses, should their p-values be adjusted for multiple hypothesis testing?
    - rscho 5y ago
      Ok, now it's clear. So yes I agree that controlling false discovery rate is an unsolved problem that p-value doesn't address. Yes of course applied stats are a kind of 'soft science', at least regarding the interpretation of results. Statistical theory on the other hand, is very well defined. So that doesn't justify considering assumptions made from erroneous conceptual understanding. This is where we disagree, I guess.
im3w1l 5y ago
I see a lot of misconceptions every time statistics are discussed here actually. Like really basic stuff. To me it kind of signals the need for education reform, because in our increasingly sophisticated and data-driven world, everyone needs to know the basics of statistics.

by rscho 5y ago

deepnotderp 5y ago

As opposed to "experts" who always have rock solid statistical knowledge (/s): https://stats.stackexchange.com/questions/38403/what-causes-the-discontinuity-in-the-distribution-of-published-p-values-at-p https://stats.stackexchange.com/questions/38403/what-causes-... https://en.wikipedia.org/wiki/Misuse_of_p-values https://en.wikipedia.org/wiki/Misuse_of_p-values I wish that people would stop disparaging attempts to contribute from people outside the specialized ingroup. This stuff is hard, what counts as a hypothesis test for instance? Should datasets be locked and each view counted as a hypothesis? That's a very reasonable debate.

rscho 5y ago
Contribute what? Mathematically incorrect statements don't seem very useful to me... After cursory examination, I don't understand your point regarding the stackexchange link. As for hypothesis testing, I also fail to see how that is supposedly poorly defined.
- deepnotderp 5y ago
  Slide 12 onwards illustrates my regarding hypothesis testing in the sciences: https://indico.cern.ch/event/995950/attachments/2171998/3676039/slides.pdf https://indico.cern.ch/event/995950/attachments/2171998/3676... Say you have a dataset with several variables and you’re looking for correlations between them. If 20 different groups separately download the dataset and test hypotheses, should their p-values be adjusted for multiple hypothesis testing?
  - rscho 5y ago
    Ok, now it's clear. So yes I agree that controlling false discovery rate is an unsolved problem that p-value doesn't address. Yes of course applied stats are a kind of 'soft science', at least regarding the interpretation of results. Statistical theory on the other hand, is very well defined. So that doesn't justify considering assumptions made from erroneous conceptual understanding. This is where we disagree, I guess.

im3w1l 5y ago

I see a lot of misconceptions every time statistics are discussed here actually. Like really basic stuff. To me it kind of signals the need for education reform, because in our increasingly sophisticated and data-driven world, everyone needs to know the basics of statistics.