Ian Hussey
@ianhussey.mmmdata.io
Meta-scientist and psychologist. Senior lecturer @unibe.ch. Chief recommender @error.reviews. "Jumped up punk who hasn't earned his stripes." All views a product of my learning history.
I think this is an overly pessimistic take from the @bmj.com.
Sharing data does not inherently increase trust, rather it enables verification which allows for trust calibration.
This example is a win. Serious issues were rapidly detected that would not have been without mandatory data sharing.
Sharing data does not inherently increase trust, rather it enables verification which allows for trust calibration.
This example is a win. Serious issues were rapidly detected that would not have been without mandatory data sharing.
November 14, 2025 at 8:18 PM
I think this is an overly pessimistic take from the @bmj.com.
Sharing data does not inherently increase trust, rather it enables verification which allows for trust calibration.
This example is a win. Serious issues were rapidly detected that would not have been without mandatory data sharing.
Sharing data does not inherently increase trust, rather it enables verification which allows for trust calibration.
This example is a win. Serious issues were rapidly detected that would not have been without mandatory data sharing.
November 6, 2025 at 3:02 PM
PIs when the study is non significant
October 20, 2025 at 12:13 PM
PIs when the study is non significant
New hobby:
Remaking article abstracts as movie trailers to expose hype and fearmongering.
Remaking article abstracts as movie trailers to expose hype and fearmongering.
October 20, 2025 at 10:22 AM
New hobby:
Remaking article abstracts as movie trailers to expose hype and fearmongering.
Remaking article abstracts as movie trailers to expose hype and fearmongering.
Not quite yet ... effect size magnitude heavily depends on which outcome measure and which version of Cohen's d is used
October 15, 2025 at 11:33 AM
Not quite yet ... effect size magnitude heavily depends on which outcome measure and which version of Cohen's d is used
[measurement and analytic flexibility has entered the chat]
October 15, 2025 at 11:31 AM
[measurement and analytic flexibility has entered the chat]
Of the 21 predictions we received here and on our various Slacks, almost everyone underestimated it. Aaron Friedli, an RA in our lab, predicted it perfectly. @sabrinanorwood.bsky.social came a close second with 6. Only @eikofried.bsky.social overestimated it at 8.
October 14, 2025 at 6:16 PM
Of the 21 predictions we received here and on our various Slacks, almost everyone underestimated it. Aaron Friedli, an RA in our lab, predicted it perfectly. @sabrinanorwood.bsky.social came a close second with 6. Only @eikofried.bsky.social overestimated it at 8.
The original study used these questions, which did not actually ask about "desirability"!
October 13, 2025 at 11:30 AM
The original study used these questions, which did not actually ask about "desirability"!
Make an effect size prediction!
@jamiecummins.bsky.social and I are replicating Balcetis & Dunning's (2010) "chocolate is more desirable than poop" (Cohen's d = 4.52)
Let us known in the replies what effect size you think we'll find. Details of the study in the thread below.
@jamiecummins.bsky.social and I are replicating Balcetis & Dunning's (2010) "chocolate is more desirable than poop" (Cohen's d = 4.52)
Let us known in the replies what effect size you think we'll find. Details of the study in the thread below.
October 13, 2025 at 11:30 AM
Make an effect size prediction!
@jamiecummins.bsky.social and I are replicating Balcetis & Dunning's (2010) "chocolate is more desirable than poop" (Cohen's d = 4.52)
Let us known in the replies what effect size you think we'll find. Details of the study in the thread below.
@jamiecummins.bsky.social and I are replicating Balcetis & Dunning's (2010) "chocolate is more desirable than poop" (Cohen's d = 4.52)
Let us known in the replies what effect size you think we'll find. Details of the study in the thread below.
Me: I cannot afford to take on a new side project.
Also me:
Also me:
October 7, 2025 at 3:54 PM
Me: I cannot afford to take on a new side project.
Also me:
Also me:
"We regret to inform you that your application for tenure has been denied."
October 7, 2025 at 3:49 PM
"We regret to inform you that your application for tenure has been denied."
It said 'data available upon request' but when I clicked the button nothing happens
October 7, 2025 at 3:42 PM
It said 'data available upon request' but when I clicked the button nothing happens
Please someone help me figure out the rest of this joke
October 7, 2025 at 3:12 PM
Please someone help me figure out the rest of this joke
This may have come up
October 4, 2025 at 1:40 PM
This may have come up
Data is available upon request … but only in the form of one hundred non sequential 3.5” floppy disks containing a segmented zip file, inside of which are confusingly named files that can only be opened using the 1996 application StatView for Apple Mackintosh. Enclose a cashiers check for postage.
September 26, 2025 at 5:46 PM
Data is available upon request … but only in the form of one hundred non sequential 3.5” floppy disks containing a segmented zip file, inside of which are confusingly named files that can only be opened using the 1996 application StatView for Apple Mackintosh. Enclose a cashiers check for postage.
The meaningless scale measuring 'pseudo' correlated well with established relationship quality variables.
In other contexts, authors interpret similar correlation matrices as evidence of a Nuanced Construct, without considering it could be spurious.
In other contexts, authors interpret similar correlation matrices as evidence of a Nuanced Construct, without considering it could be spurious.
September 10, 2025 at 10:56 PM
The meaningless scale measuring 'pseudo' correlated well with established relationship quality variables.
In other contexts, authors interpret similar correlation matrices as evidence of a Nuanced Construct, without considering it could be spurious.
In other contexts, authors interpret similar correlation matrices as evidence of a Nuanced Construct, without considering it could be spurious.
Today in "did we take this joke too far?":
@malte.the100.ci @grinschglsandra.bsky.social and I will jointly teach two lecture series this year:
Psychology of Digitalisation: Everything is Computer
Digitalisation of Psychology: Computer is Everything
(really)
Also, new lab logo
@malte.the100.ci @grinschglsandra.bsky.social and I will jointly teach two lecture series this year:
Psychology of Digitalisation: Everything is Computer
Digitalisation of Psychology: Computer is Everything
(really)
Also, new lab logo
August 28, 2025 at 4:21 PM
Today in "did we take this joke too far?":
@malte.the100.ci @grinschglsandra.bsky.social and I will jointly teach two lecture series this year:
Psychology of Digitalisation: Everything is Computer
Digitalisation of Psychology: Computer is Everything
(really)
Also, new lab logo
@malte.the100.ci @grinschglsandra.bsky.social and I will jointly teach two lecture series this year:
Psychology of Digitalisation: Everything is Computer
Digitalisation of Psychology: Computer is Everything
(really)
Also, new lab logo
I updated {psychdsish} to include functions to:
- generate horribly styled code to demo the importance of styling
- recursively apply {styler} to every .R, .Rmd, and .qmd file in a directory, to instantly clean up a project's code
github.com/ianhussey/ps...
- generate horribly styled code to demo the importance of styling
- recursively apply {styler} to every .R, .Rmd, and .qmd file in a directory, to instantly clean up a project's code
github.com/ianhussey/ps...
August 23, 2025 at 4:19 PM
I updated {psychdsish} to include functions to:
- generate horribly styled code to demo the importance of styling
- recursively apply {styler} to every .R, .Rmd, and .qmd file in a directory, to instantly clean up a project's code
github.com/ianhussey/ps...
- generate horribly styled code to demo the importance of styling
- recursively apply {styler} to every .R, .Rmd, and .qmd file in a directory, to instantly clean up a project's code
github.com/ianhussey/ps...
Did you know there's a package to reformat code to meet the {tidyverse} style guide?
{styler} is super useful for teaching students and helping them make their code more legible. It even has a drop down menu to do it with a point-and-click.
styler.r-lib.org
{styler} is super useful for teaching students and helping them make their code more legible. It even has a drop down menu to do it with a point-and-click.
styler.r-lib.org
August 23, 2025 at 4:16 PM
Did you know there's a package to reformat code to meet the {tidyverse} style guide?
{styler} is super useful for teaching students and helping them make their code more legible. It even has a drop down menu to do it with a point-and-click.
styler.r-lib.org
{styler} is super useful for teaching students and helping them make their code more legible. It even has a drop down menu to do it with a point-and-click.
styler.r-lib.org
I often find my students' code is littered with dependencies that are loaded and then not used. This is a bad coding practice, but it's also very boring to check.
I updated {psychdsish} to include a function that does this for you.
I updated {psychdsish} to include a function that does this for you.
August 23, 2025 at 8:43 AM
I often find my students' code is littered with dependencies that are loaded and then not used. This is a bad coding practice, but it's also very boring to check.
I updated {psychdsish} to include a function that does this for you.
I updated {psychdsish} to include a function that does this for you.
{truffle} is an R package for teaching users to process data.
Semi-realistic psychological datasets with predetermined effects (via `truffles_` functions) are then hidden in common data processing headaches (via `dirt_` functions) for students to clean and analyze.
mmmdata.io/posts/2025/0...
Semi-realistic psychological datasets with predetermined effects (via `truffles_` functions) are then hidden in common data processing headaches (via `dirt_` functions) for students to clean and analyze.
mmmdata.io/posts/2025/0...
August 18, 2025 at 4:42 PM
{truffle} is an R package for teaching users to process data.
Semi-realistic psychological datasets with predetermined effects (via `truffles_` functions) are then hidden in common data processing headaches (via `dirt_` functions) for students to clean and analyze.
mmmdata.io/posts/2025/0...
Semi-realistic psychological datasets with predetermined effects (via `truffles_` functions) are then hidden in common data processing headaches (via `dirt_` functions) for students to clean and analyze.
mmmdata.io/posts/2025/0...
I just heard about @renebekkers.mastodon.social.ap.brid.gy's Bad Science Bingo Card - quite a fun approach to a serious topic.
detectingbadscience.wordpress.com/bad-science-...
detectingbadscience.wordpress.com/bad-science-...
August 16, 2025 at 8:44 AM
I just heard about @renebekkers.mastodon.social.ap.brid.gy's Bad Science Bingo Card - quite a fun approach to a serious topic.
detectingbadscience.wordpress.com/bad-science-...
detectingbadscience.wordpress.com/bad-science-...