About the only point you can actually slow down enough to care about quality is at the emeritus stage, but even then if you don't produce your lab will be moved into a broom cupboard.
If you cheat, you get "high ceilings" and a "marble fireplace" on the "upper east side":
https://www.nytimes.com/2018/10/29/health/dr-piero-anversa-h...
The destruction of the reputation of science is probably the most dangerous thing going on in our society right now. If we lose science we have nothing.
We surely don't know the answer yet, but pre-registration of experiments/methods to get a guaranteed publication is one quite interesting.
But there are others, and I applaud any initiative in these areas, because it's at it core about the hardest problem of all:
How do we overcome bias in a large system under a lot of financial pressure?
It's such a worthwhile issue to pursue, but also usually quite thankless, so anyone fighting for it is doing something great even if it's in seemingly small ways!
What kind of failures should we celebrate? There are two kinds that I can see: a failure to produce a result because of a lack of skill or knowledge and a failure to produce a result because of a demonstrable or provable reason. The last one is actually a success because that kind of failure produces new knowledge. But we have a culture in far too many fields where this is seen as not publishable.
He eventually succeeded.
I almost think we should have a magic card you get to play once in your career that resets your track record. This way you could take risk without totally destroying your career.
Just like school teachers in America, PhD students are taken advantage of for the exact same reasons
People want the jobs, and America doesn't believe in regulating supply and demand
Like Gresham's law bad science drives out good, because it is much faster to do bad science than good. Those that try to maintain quality can't pump out as many papers as the bad and so lose on the grant treadmill.
Any solution that does not address the incentives is doomed to fail. Not fixing this problem will kill science.