Brett Buttliere
@brettbuttliere.bsky.social
Creating the future of science and society. Digital Infrastructure. Wikimedia. meta.data(). art, latest https://soundcloud.com/nabukudurru/wake-up-hands-up
Reposted by Brett Buttliere
why don't replicators replicate themselves or each other or areas they have experience and expertise in?
wouldn't it lead to better outcomes?
wouldn't it lead to better outcomes?
April 30, 2024 at 12:58 PM
why don't replicators replicate themselves or each other or areas they have experience and expertise in?
wouldn't it lead to better outcomes?
wouldn't it lead to better outcomes?
the shark cake replication is the essence of the crisis. essentially hubris thinking that we should be able to easily replicate the last study in high impact journals on our first unpiloted attempt. not taking into account the effects of time or context change.
July 13, 2026 at 7:22 PM
the shark cake replication is the essence of the crisis. essentially hubris thinking that we should be able to easily replicate the last study in high impact journals on our first unpiloted attempt. not taking into account the effects of time or context change.
i dont see why just because they picked that example it is somehow the beginning of the crisis, it is just the example they chose.
July 13, 2026 at 7:13 PM
i dont see why just because they picked that example it is somehow the beginning of the crisis, it is just the example they chose.
Reposted by Brett Buttliere
Many Labs 4 preregistered both 60 and 80 as minimum participant cut offs. when it came time to report the results, 60p cut off had better results for replicators, so that is the one that got reported.. what does that mean?
March 30, 2024 at 7:36 AM
Many Labs 4 preregistered both 60 and 80 as minimum participant cut offs. when it came time to report the results, 60p cut off had better results for replicators, so that is the one that got reported.. what does that mean?
I would prefer limits on how much money a person could get - nobody can really handle 10 phd students, meanwhile others have 0
April 29, 2026 at 8:21 AM
I would prefer limits on how much money a person could get - nobody can really handle 10 phd students, meanwhile others have 0
capping the number of apps per PI i think risks centralizing funding more. imagine you spent your 3 and didn't get any, while someone else got all of their 3, and consistently get them.
April 29, 2026 at 8:19 AM
capping the number of apps per PI i think risks centralizing funding more. imagine you spent your 3 and didn't get any, while someone else got all of their 3, and consistently get them.
why do you think such a huge project generated so little discussion?
April 9, 2026 at 11:40 AM
why do you think such a huge project generated so little discussion?
the point is to get famous, silly
April 2, 2026 at 9:02 AM
the point is to get famous, silly
too much super ego for me
April 2, 2026 at 8:21 AM
too much super ego for me
dishoesty, not dishonesty
April 2, 2026 at 8:20 AM
dishoesty, not dishonesty
i think by like 2050 we should be contenders. hopefully by the time i am dead but needs a LOT more money into the sport to be competitive
April 1, 2026 at 2:00 PM
i think by like 2050 we should be contenders. hopefully by the time i am dead but needs a LOT more money into the sport to be competitive
seems to be built with an assumption of small samples, since anything past .0001 or whatever is discounted in evidential value in some way
January 9, 2026 at 6:29 PM
seems to be built with an assumption of small samples, since anything past .0001 or whatever is discounted in evidential value in some way
yes, how did they land on this curve, can you explain? seems to penalize big time past .045, it is because of the formula they apply?
January 9, 2026 at 6:27 PM
yes, how did they land on this curve, can you explain? seems to penalize big time past .045, it is because of the formula they apply?
Reposted by Brett Buttliere
Notice that *small* p values --- those with high evidential weight --- are mapped to 0, and values near the significance criterion are mapped to arbitrarily large values. This means that positive evidence is destroyed, and negative evidence is given very heavy weight! Example: suppose you... 5/?
August 8, 2025 at 6:56 PM
Notice that *small* p values --- those with high evidential weight --- are mapped to 0, and values near the significance criterion are mapped to arbitrarily large values. This means that positive evidence is destroyed, and negative evidence is given very heavy weight! Example: suppose you... 5/?
Reposted by Brett Buttliere
I guessed you’d bring this up.
You should read more about replication. Scientists really don’t do it, you know. They never did, in the real world.
journals.sagepub.com/doi/abs/10.1...
You should read more about replication. Scientists really don’t do it, you know. They never did, in the real world.
journals.sagepub.com/doi/abs/10.1...
Replication and Mere Replication - Michael Mulkay, G. Nigel Gilbert, 1986
journals.sagepub.com
January 1, 2026 at 1:21 AM
I guessed you’d bring this up.
You should read more about replication. Scientists really don’t do it, you know. They never did, in the real world.
journals.sagepub.com/doi/abs/10.1...
You should read more about replication. Scientists really don’t do it, you know. They never did, in the real world.
journals.sagepub.com/doi/abs/10.1...
agreed, and if you look closely at replications most often they are done by people who are not connected with the research field. often being done in fact by teams that actively doubt the research field, often they are not piloted and problems are found. mostly just not done how orig authors would
January 2, 2026 at 4:40 PM
agreed, and if you look closely at replications most often they are done by people who are not connected with the research field. often being done in fact by teams that actively doubt the research field, often they are not piloted and problems are found. mostly just not done how orig authors would
have you implemented any WM specific variable labels or meta.data? basically, if you standardize your labels and meta data you can combine datasets if they measure the same or similar things. big improvement and could be useful for you journals.sagepub.com/doi/full/10....
Adopting standard variable labels solves many of the problems with sharing and reusing data - Brett Buttliere, 2021
Datasets and analysis scripts are becoming more available online, but most datasets are still unclear and difficult to use due to poor meta-data. Adopting stand...
journals.sagepub.com
January 2, 2026 at 2:28 PM
have you implemented any WM specific variable labels or meta.data? basically, if you standardize your labels and meta data you can combine datasets if they measure the same or similar things. big improvement and could be useful for you journals.sagepub.com/doi/full/10....
when i first started asking her questions i had lots of people defending such behavior but now it is crickets
January 1, 2026 at 4:48 PM
when i first started asking her questions i had lots of people defending such behavior but now it is crickets
notable silence from @elisabethbik.bsky.social who is normally so vocal! :D
December 28, 2025 at 12:49 PM
notable silence from @elisabethbik.bsky.social who is normally so vocal! :D
i was wondering why it is was so hidden behind the paywall
December 28, 2025 at 12:45 PM
i was wondering why it is was so hidden behind the paywall
i was wondering recently how you feel about our QReP paper now that you have had like 6 8 months to think about it
December 28, 2025 at 12:45 PM
i was wondering recently how you feel about our QReP paper now that you have had like 6 8 months to think about it