I disagree with "More data is strictly better". if you said that everything else equal, more data is better, I would be closer to agreement. But when you have

I disagree with "More data is strictly better". if you said that everything else equal, more data is better, I would be closer to agreement. But when you have more data, biases become more of a problem. p-hacking becomes easier, and the easier something is to do, the more likely it is to happen. I would frame it this way: the signal/noise ratio of data decreases as the size increases.* The overall value increases, but at a slower rate over time. * The caveat - once you get above a certain volume of data, new processing techniques become available that aren't available at smaller volumes.