Comment by zero_k

I'm sad to hear that. I know of a PhD student who confided in me that his professor didn't believe his suspicion that the results of a well-known, supposedly top tool, are wrong. According to his view, not being able to replicate or improve that tool has prevented him from being allowed to graduate. While I cannot confirm this, I suspect there to be a grain of truth in the story. The results are indeed wrong, but I suspect the results are too big to fall -- too many people made too many mistakes (reviewers, editors, awards committees, hiring committees, etc.). It's sad.