You might think crisis of reproducibility means everyone is faking data. No, that does not mean that. There are many factors to a crisis of reproducibility. One is fake data. A bigger one is a lack of incentive and a lack of complete data gathering details on some metric. Generally even if there is a crisis is subjective.

There's also usually a mismatch between what older scientists and younger scientists think are the right approach to studying something.

But generally, science is pretty good. You're reading small slices and assuming it actually represents all of science. It doesn't. Please give me a better sense of what ground your ear is on. I don't think it's generally representative of most science fields. Science has a cool thing where you could post totally fake data, but there are enough actors that also would question it if it's entirely unreproducible. Most issues are small nudges or selective data (e.g, retesting when data doesn't support your expectations), not blatant lies. The blatant lie stories you hear are not actually common and I'd love to hear where you think they are.