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/lit/ - Literature

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>> No.17581595 [View]
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17581595

Was jesus the incarnation of Nevadon?

>> No.15534784 [View]
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15534784

Can u apply figures of speech to melody composition?

Shit I think I've figured out music.

>> No.15514488 [View]
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>>15514321
maybe am coom

>> No.10406601 [View]
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>>10405902
>if you disagree try using opiates and hiring hookers every day you idiot

Please how do I get this lifestyle

>> No.10395085 [View]
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10395085

>>10394424
Where's Oscar Wilde you cunt?

>> No.10393362 [View]
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10393362

Fucking John Green
>unironically
Just end me

>> No.10391879 [View]
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>>10391642
>description of the character
>underlined and explained as "mundane detail"

What did she mean by this?

>> No.10366676 [View]
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>>10365697
Yes I only wish I used the infallible god-like scientific method to gather knowledge.

>a p-value of .05 has a true error rate (type I) of AT LEAST 30% GIVEN THAT the experiment is sufficiently powered

Colquhoun, D. (2014). An investigation of the false discovery rate and the misinterpretation of p-values. Royal Society open science, 1(3), 140216.

>cognitive neuroscience and psychology studies are NEVER sufficiently powered "Assuming a realistic range of prior probabilities for null hypotheses, false report probability is likely to exceed 50% for the whole literature. In light of our findings, the recently reported low replication success in psychology is realistic, and worse performance may be expected for cognitive neuroscience."

Szucs, D., & Ioannidis, J. P. (2017). Empirical assessment of published effect sizes and power in the recent cognitive neuroscience and psychology literature. PLoS biology, 15(3), e2000797.

>and even then, 1/3 of research in the social sciences are never cited ONCE (and keep in mind how many people cite themselves)

Larivière, V., Gingras, Y., & Archambault, É. (2009). The decline in the concentration of citations, 1900–2007. Journal of the Association for Information Science and Technology, 60(4), 858-862.

>100% (!) of retards who used ordinal data analyzed with parametric tests

Liddell, T., & Kruschke, J. K. (2017). Analyzing ordinal data with metric models: What could possibly go wrong?.

But yeah, keep telling yourself you're a scientist, fine by me

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