The realities of scientific publishing are unfortunate (and yes, I know of efforts to ameliorate the problem in medical research). If people published all their research ("We did 50 runs with the following parameters, all failed, sure #39 showed statistical significance but we don't believe it") I would have zero problems with it. But that's not how the world currently works.
That would be a better world. But in this world, it would still be true that there is no universal, absolute, optimal percentage of experiments failing to replicate, and the optimal percentage is set by decision-theoretic/economic concerns.
Experiments that fail to replicate at percentages greater than those expected from published confidence values (say, posterior probabilities) are evidence that the published confidence values are wrong.
A research process that consistently produces wrong confidence values has serious problems.
For those who haven't heard, NIH and NSF are no longer processing grants, leading to many negative downstream effects.
I've been directing my attention elsewhere lately and don't have anything informative to say about this. However, my uninformed intuition is that people who care about effective altruism (research in general, infrastructure development, X-risk mitigation, life-extension...basically everything, actually) or have transhumanist leanings should be very concerned.
The consequences have already been pretty disastrous. To provide just one, immediate example, the article says that the Center for Disease Control and Prevention has shut down. I think that this is almost certain to directly cause a nontrivial number of deaths. Each additional day that this continues could have huge negative impact down the line, perhaps delaying some key future discoveries by years. This event *might* be a small window of opportunity to prevent a lot of harm very cheaply.
So the question is:
1) Can we do anything to remedy the situation?
2) If so, is it worth doing it? (Opportunity costs, etc)