[chaosfox]

the silver lining, I hope, is that this will highlight how important independent verification and reproduction of results is in academia, people "know" that but funding for it is still scarce as its always more exciting to try to find something new than to validate a known result.

[Obi_Juan_Kenobi]

Replication is far from trivial. It's still worth pursuing, but it's easy to overlook how challenging it can be to successfully execute scientific procedures.

Labs generally specialize, as there's a long learning curve to climb before you can reliably execute even 'bedrock' molecular biology protocols like immunoassays. Small ambiguities in protocol can lead to failure, and there's always simple human error involved that can tank a result. Generally you'll have positive controls available to tell you whether a protocol was successfully executed, but there are cases where that's simply not practical.

In the end, 'failure to replicate' does not necessarily mean there was anything wrong with the original work. Positively concluding that requires a lot of additional work that could explain the discrepancy.

[ssivark]

But OTOH, what even is the scientific value of the original paper if they cannot provide a clear protocol with a substantial chance of replication?

“Here, I did this magic trick, but I’m unable to tell you sufficient detail for how it works!”

[pca006132]

While independent verification and reproduction is hard, I wonder if there is any requirement for researchers to at least publish their data set for statistical analysis and further research.

Also, I found it interesting that even though computer science research are usually easier to reproduce, a lot of journals and conferences do not mandate artifact evaluation, this is just considered nice to have for submission. If we can have mandatory artifact evaluation, even something not reusable and can just repeat the experiment in the paper, it will be much easier to verify the claims in the papers and compare different approaches.

[mwt]

> I wonder if there is any requirement for researchers to at least publish their data set for statistical analysis and further research.

Not generally, though the tide is slowly turning in the right direction. Unfortunately many laws/policies pushing for openness and transparency in research are sidestepped with the classic "data available upon request," a.k.a. "I promise I'll share the Excel files if you email me" (they will not).

[debacle]

No one at any point in the funding cycle benefits from asking questions.

In fact, for most of the people in a position to ask the kinds of questions that need to be asked, they risk their entire career when they do so.

The entire industry has issues.

[mhh__]

Independent verification is why scientific fraud is so dangerous.

On the one hand you'll eventually get caught, but only after potentially millions has been spent on said catching.

[LatteLazy]

Isn't that exactly what has NOT happened here? Some combination of:

* People not checking

* People checking and joining the fraud

* People checking, not joining the fraud and then getting their work suppressed.