Yes, I'm not saying HN is wrong about everything. HN isn't opposed to my other examples of VR or deep learning (though there are certainly people who argue strenuously that deep learning is a dead end and GOFAI is the way forward). I'm just saying that when the consensus about something is wrong, that's an opportunity to get ahead of the curve. And reading HN is a great way to gather the information you need to decide whether the consensus is right or not. But you have to figure that out for yourself.
How do you measure what is wrong? In the example of Bitcoin, if the measurement is price, I think that's a misunderstanding of what people are criticizing.
The criticisms have changed over time. But I'm pretty sure the early criticisms were mostly wrong, and I'm certain that the people who criticized it early missed big opportunities, even if Bitcoin itself ultimately fails (which is of course still a possibility).
