ERROR is a bug bounty program for science. PIs: @maltoesermalte & @rubenarslan Chief Recommender: @ianhussey

Bern, Switzerland
Joined June 2023
Science can be self-correcting — but only if we invest in making it so. Our view on the staggering costs of undetected errors in science, and why funding error detection and correction is less expensive, published today in @Nature
Borrowing the idea of ‘bug bounties’ from the technology industry could provide a systematic way to detect and correct the errors that litter the scientific literature, says Malte Elson go.nature.com/4dIi1Nv
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My paper is out in @PNASNews! I replicate a paper on the impact of COVID vaccine mandates on vaccine uptake. Removing a single bad control variable sign-flips several of the paper’s headline results. The reply’s findings are also not robust. 1/x pnas.org/doi/10.1073/pnas.24…
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Can you imagine if scientists or funders appreciated sleuths like this? Or if we saw potential examples of misconduct as vulnerabilities in our processes that needed to be addressed?
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🚨Replication alert🚨 I reanalyze Moretti (2021), which tests for the effect of tech cluster size on innovation. I find that the event study and instrumental variable estimates—necessary for a causal interpretation—are caused by coding errors. #EconTwitter 1/
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You want me to pay attention to the details? The thing the devil is in?
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ERROR retweeted
Cash for catching scientific errors 💰 The ERROR project offers researchers a bounty for spotting mistakes in published papers — a strategy borrowed from the software industry. go.nature.com/4fShk50
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Replying to @error_reviews
🚨 New Video Alert! 🚨 Watch @ianhussey take us through the exciting developments in error detection, featuring @error_reviews, the innovative pre-registration assessment tool by @psycholojamie, and much more. Video: tinyurl.com/36aekd95 Slides: osf.io/b7es8/
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🚨 New Video Alert! 🚨 Watch @ianhussey take us through the exciting developments in error detection, featuring @error_reviews, the innovative pre-registration assessment tool by @psycholojamie, and much more. Video: tinyurl.com/36aekd95 Slides: osf.io/b7es8/
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This is the first of many forthcoming in our suite of tools to make error detection easier for authors and reviewers!
New: use GRIM or GRIMMER to test reported statistics for consistency. Are these values even possible? Find out with the error detection webapp! Test many values at once, get summary statistics, and download your results. 🧵 1/5 errors.shinyapps.io/scrutiny…
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What are the best papers or blog posts you know on difficulties of correcting the scientific record in psychology? Want to write on it and make sure cite the best sources. I recall the term zombie theories in this context.
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⭐️Open Research Summer School ⭐️ Rounding off a whole day on error detection, @ianhussey will be talking about @error_reviews! Grab your in-person ticket for Monday. Otherwise, there's plenty of spots for remote viewing! Register here: tinyurl.com/49x793yf
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New paper under review! Danièle Gubler is checking "Environmental sensitivity in children: Development of the Highly Sensitive Child Scale and identification of sensitivity groups" by @michaelpluess et al. for errors. error.reviews/reviews/pluess…
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