Top Tweets for #PHacking
@ContrarianJolly Prosecution: this test is 98% accurate. Clearly, she must have administered exogenous insulin.
Scientists and statisticians: you looked at 100 times the test was administered and found two positives.
#phacking
#statstab #358 What are some of the problems with stepwise regression?
Thoughts: Model selection is not an easy task, but maybe don't naively try step wise reg.
#stepwise #regression #QRPs #issues #phacking #modelselection #bias
https://t.co/Y9Qz0ZvQ3w
Most researchers don’t set out to cheat, but they could unknowingly make choices that push them towards a significant result. Here are five ways #phacking can slip into your research. https://t.co/lY2CWwYwWT
Ever heard of p-hacking?
P-hacking happens when researchers tweak data to get that "magic" p-value under 0.05,but it can lead to misleading findings!Instead of chasing numbers, transparent & honest research is what builds real credibility👍
#PHacking #ResearchEthics
@ProjectBist
@krichard1212 @getnormality @cremieuxrecueil @ArtemisConsort @HalfAcreBTCFarm @kph3k @SashaGusevPosts It's revealing that Cremieux blocks those who make arguments for which he has no answers. For example, when he was informed that the Minnesota "reared-apart" twin researchers suppressed their IQ control group data to reach desired results. #phacking
Discover the significance of P-hacking and its impact on data interpretation and credibility. In this video, you will learn how your analytical choices can affect your research outcomes.
Watch now https://t.co/0BczdmqJKz
#ResearchIntegrity #DataAnalysis #PHacking #GraphPad
"Using Python 3.11.4" - Turing properly spinning in his grave right now... #Neurobollocks #pHacking @WiringTheBrain
Discover the significance of P-hacking and its impact on data interpretation and credibility. Watch this video to learn how every analytical choice affects research outcomes.
For more information visit https://t.co/eXW7nweAER
#ResearchIntegrity #DataAnalysis #PHacking #GraphPad
Today starts our second workshop series on #OpenScience, covering topics such as #preregistration, #phacking, power analysis and (later) #reproducible manuscripts in #RMarkdown for PhD students and members of our faculty! 🔥 @tudresden_de @TUD_Science
#distrust #disinformation #phacking #HARKing #replicationcrisis
Nature review of Distrust:
https://t.co/9DixSj78w3
“Statistical inference is a tool to *test* an idea not to *find* an idea …[but] … the message to early career marketing researchers is: “you must p-hack to get into an ‘A’ journal.”#ResearchIncentives #MarketingResearch #ResearchBias #pHacking #ResearchEthics
Converging evidence of massive, systemic bias in marketing research https://t.co/LFq6DgH2u9 via @AaronCharlton
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