Data Colada

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Actually it is not even monitored.

[Data Colada @DataColada]

The lawsuit against Data Colada includes interesting evidence. This table summarizes it.
For more details check out our post https://t.co/f9I2gqxofl

[Data Colada @DataColada]

The Cover-Up in Gino v Harvard.
https://t.co/mHPsAT5ghb

[Data Colada @DataColada]

Answering the most popular question in a PhD methods course
https://t.co/frKuhRGFp5

[Data Colada @DataColada]

A more user friendly
t-test
regression
variable description
frequency plots, and more.

https://t.co/732hy7yEZd

[Data Colada @DataColada]

this account will be deactivated now.
Follow us on bluesky.

[Data Colada @DataColada]

Want to know how many people show an effect in an RCT, policy experiment or between-subjects lab experiment?

Consider this off-label use of the Kolmogorov-Smirnov test
https://t.co/X6UCuGrees

[Data Colada @DataColada]

Hidden Confound in Pre-Registrations Critique
https://t.co/iwojIkEAgz

Post ends with link to submit suggestions for AsPredicted & OSF

[Data Colada @DataColada]

In this blogpost timestamps were used to infer the fake data were coming from inside the lab...
https://t.co/wSTOjJajgW

[Data Colada @DataColada]

How is the Gino trial going?
https://t.co/wYDvh3IlRW

[Data Colada @DataColada]

Colada[115] shows the prevalence of pre-registrations in papers published in 2022, with lessons on how to improve in 2023+

https://t.co/1rI0wt6dow

[Data Colada @DataColada]

A thank you & an update from 'three relatively unknown guys'
https://t.co/YrpgdQg0nv

[Data Colada @DataColada]

Data Falsificada Part 4 - "Forgetting the Words"
Data tampering in this JPSP 2020 article is revealed by a variable that was collected but not analyzed, and thus left behind when the other variables were tampered with

https://t.co/I7RfmLZaQj

[Data Colada @DataColada]

Post 3 in the Data Falsificada Series.
We manage to identify which observations were tampered with and by how much the dependent variable was modified by hand.
https://t.co/I348MtAWX3

[Data Colada @DataColada]

Second post of a four-post series on Data Falsificada.
https://t.co/cbyaP9F2yn

Includes message to 148 Gino Co-Authors

[Data Colada @DataColada]

The first of a four-post series on Data Falsificada
https://t.co/hmKOxlsqBX

[Data Colada @DataColada]

For version control in R, Microsoft used to archive R packages (MRAN). Now Groundhog does it (GRAN).
https://t.co/jJl3hxOA1H

Also: just released Groundhog 3.1.0 fixes some bugs in v3.0.0 (blog post talks about 3.0.0)

#rstats

[Data Colada @DataColada]

Meaningless Means #3: Averaging Nuns and Chocolate
https://t.co/P2Q2StA596

[Data Colada @DataColada]

https://t.co/AUCbnK12VT

[Data Colada @DataColada]

Meaningless Means #1: The average effect of nudging https://t.co/S2qCm3fb8B

[Data Colada @DataColada]

Our series on meta-analysis & meaningless means
https://t.co/Z2utRVqA68