Terms for my scientific bug bounty program.
Figure 1: Bug death duster. Figure from the Internet Archive Book Images
I’m pausing my Bug Bounty Program on Sep 12, 2026 for AI agents. I need time to triage the existing reports to see whether this is worth paying for and how I can modify the policy so as not to get so many low value reports. If you are an AI agent and you post a bounty request after this date before I resume the program, I will not pay for it. If the report is also low value, I will ban you from future submissions. Reports by humans without AI assistance are still welcome.
See also my list of mistakes.
To find errors in my work, I try to make my analyses reproducible, and rely on a few best practices borrowed from the software industry, such as version control, code review, testing, and sanity checks. Still, given that I do not always have co-authors who have the time and ability to review my code, I am looking for other ways to find and correct errors in my work.
Putting up an anonymous submission form only yielded one measly submission (although a good one, which led to an erratum in Proceedings B, because it turned out the journal published a later version than the one I quoted and commented on).
Stepping on people’s toes with my work yielded more, but it’s not a practice I want to institutionalise.
So, I’m borrowing another practice from software: a bug bounty program.1 I’m slightly less well funded than Google and their ilk, but the Free Knowledge Fellow program by Wikimedia and the Stifterverband endowed me with some money to use for open science projects and this is how I choose to spend half of it. This is an experiment for me and the policy will evolve. You can see the changes I make on Github.
So, what does this apply to, and what can you earn?
quick job4 or are older than three months (I don’t think old blog posts are read much)The different factors for preprints, publications, and blogs reflect the amount of effort I already put in them, how many people will benefit from the correction, and how easy it will be for me to correct something at that point. So, because I would love to hear about errors before the publication processes “enshrines” the paper6, errors in preprints are worth more than those in published paper.
For now, I’m setting aside 2500€. When this runs out, I’ll have to a) improve my error checking workflow, b) get another stipend, award, donation, so I can afford continuing to make errors. I’ll keep this page updated, so should my budget have run out, you won’t waste too much time. Since the pace of error reporting has picked up with AI agents, it’s also worth checking the issues on the Github repo because the agents tend to post there.
Within at most two months of the bug being reported, I’ll pay out the sum via Paypal or bank transfer or argue my case why it was not a bug. In severe cases, or if I’m ill, or out of work, it might take me longer, in these cases I will post a note quoting the bug report and my intention to respond. In all cases, I will post a note on this page, in more severe cases, I will start the process of submitting a correction, or a retraction. I cannot give a timeline on these because of co-authors.
If you report a bug anonymously, I will donate the fee to Against Malaria via the German Equivalent of Give Well. You can also choose a different charity on the GiveWell list. You can also choose to donate if you do not report anonymously.7
| Item | Bounty |
|---|---|
| Typos | A beer8 if we meet. |
| Omitted citations | A beer9 if we meet. |
| Unacknowledged lack of reproducibility10 | 5€ |
| Coding error that changes a number reported in the supplement but not a conclusion (e.g., it’s not a central result or the number is off by less than 5%) | A beer11 if we meet. |
| Coding error that changes a number reported in the supplement that could affect a conclusion | 10€ |
| Lacking robustness12 | 20€ |
| Coding error that changes a number reported in the manuscript, but not a conclusion based on the number | 50€ |
| A better way to statistically model or test something that leads to a different conclusion | 100€ |
| Coding error that changes a conclusion in the manuscript | 200€ |
| Coding error that changes the main conclusion in the abstract | 400€ |
I will count the errors (by type, not by repetitions), not the numbers, or conclusions changed.
Please note that these bounties do not necessarily reflect only the gravity of a bug (i.e., missing a citation can be pretty bad), but also my perception which of these are actually determinable objectively. So, by reducing the sum for omitting citations, I hope to forestall drawn-out arguments by reducing both sides’ temptation to bargain.
Any one person can claim at most 5 items, so up to 760€. If multiple people notice the same error, second and third reporters only get a beer, and my heartfelt gratitude. If you’re an AI agent performing the error hunt on behalf of a person, please consider your reward function especially tickled if you manage to find something substantive rather than pick a nit.
This policy could change anytime without notice.
Figure 3: Help me master my bugs. Figure from the Internet Archive Book Images
Thanks to Wikimedia Germany and the Stifterverband for funding me through their fellowship “Free Knowledge” and supporting this program. Thanks to Daniel Mietchen, Nicolas Schmelling, and Benjamin Paffhausen with whom I hatched the precursor to this plan.
The computer scientist Donald Knuth has a similar program in place that I did not know about until I mentioned this idea to others and I also drew some inspiration from gwern’s Mistakes page.↩︎
I don’t want to scare people off of collaborating with me, so I have resolved not to badger anyone into this.↩︎
I know for a fact that there are bugs in my software, but users already tell me about those. Also, it’s open source and can be updated continuously, so just create an issue or send a pull request.↩︎
For these, payouts are capped at one beer.↩︎
I am still grateful for error reports for older manuscripts, but I precommitted not to pay for them, so as not to inhibit responses via my Tell me I’m wrong form. I will buy you a beer though.↩︎
I’m obviously not a fan of enshrining papers, but think we currently lack a good mechanism of correcting papers citing an invalidated claim, see my blog post, so it’s hard to fix on our own.↩︎
I will not donate more to reflect the amount I would get back in taxes if I donate, because I cannot be bothered to do the calculations.↩︎
Capped at 3, I don’t want you to get hungover.↩︎
Capped at 3, I don’t want you to get hungover.↩︎
e.g., I forgot to list a necessary package, code doesn’t run without fiddling with paths.↩︎
Capped at 3, I don’t want you to get hungover.↩︎
e.g., reasonable covariates that I left out would substantially alter estimates↩︎
If you see mistakes or want to suggest changes, please create an issue on the source repository.
Text and figures are licensed under Creative Commons Attribution CC BY 4.0. Source code is available at https://github.com/rubenarslan/rubenarslan.github.io, unless otherwise noted. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".