Top Tweets for #StatsJournalism
For those who liked #statsjournalism session, great tools and resources at @callin_bull website https://t.co/S3DQRBp5Rw #wcsj2017
Too bad 95% of it will be #abandoned, #returned or #charged back :(! #Retail #News #StatsJournalism https://t.co/uhWSp86DP5
Researchers are as intimidated by stats as science writers, says Kristin Sainani #truth #StatsJournalism #WCSJ2017
#StatsJournalism panel at #wcsj2017: Science is an incremental process of uncertainty reduction, not built on single studies.
After debunking wrong studies & wrong use of statistics,a positive message on science in the end 😀 @tom_siegfried #WCSJ2017 #StatsJournalism
Some light reading (not! It’s a PhD thesis in philosophy) suggested by @tom_siegfried https://t.co/JUmKS4m6oe #WCSJ2017 #StatsJournalism
#StatsJournalism la importancia de aquello que habla del pvalue en los artículos científicos. Lo entendemos los periodistas de ciencia?
Thank you @tom_siegfried for the kind mention during #StatsJournalism. Important conversation & we’re delighted to add to it #WCSJ2017
Beware also of clinical trials, there might be many many problems with them @tom_siegfried #WCSJ2017 #StatsJournalism
Miss #StatsJournalism because you can’t be all the places? Great live-tweet thread here: https://t.co/BYtOJW6gn3
First up (for me anyway) this morning at #WCSJ2017: There Is a 95% Chance You Should Attend this Session on Statistics
The general idea tha metanalysis is a good source of info is wrong, says @tom_siegfried #WCSJ2017 #StatsJournalism
Outlets cover science that is new, trendy & contrarian - all of which is especially likely to be WRONG. #StatsJournalism #WCSJ2017
Newspaper preferentially cover science w/poor methodology-Good to know 😰 here some reasons for it @tom_siegfried #WCSJ2017 #StatsJournalism
When in a study you record too many factors and only pick some of them for results, this is suspicious @cragcrest #WCSJ2017 #StatsJournalism
Proof that p-values are useless: 60% of combos in this dataset yield publishable results: https://t.co/lrjddDsHDD #statsjournalism #WCSJ2017
Ask the researcher “how could you be wrong?” It’s a red flag if they are prickly. @cragcrest #statsjournalism #WCSJ2017
.@cragcrest calls small decisions made in setting up a statistical analysis the "researcher degrees of freedom" #WCSJ2017 #StatsJournalism
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