I suspect you didn't read some parts of my comment. I didn't say everyone in the world is always data-limited, I said we normally are where I work. I didn't recommend "sitting back on our laurels." I made very specific recommendations.

The qualifier "normally" already covers "not entirely true". Of course it's not entirely true. It's mostly true for us now. (In fact twenty years ago we used more numerical models than we do now, because we were facing more unsolved problems where the solution was pretty well knowable just by doing more complicated calculations, but without taking more data. Back then, when people started taking lots of data, it was often a total waste of time. But right now, most of those problems seem to be solved. We're facing different problems that seem much harder to model, so we rely more on data. This stage won't be permanent either.)

It's not a sentiment, it's a reality that we have to deal with.

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naasking 8 days ago | parent [-]

> It's not a sentiment, it's a reality that we have to deal with.

And I think you missed the main point of my reply: that people often think we need more data, but cleverness and ingenuity can often find a way to make meaningful progress with existing data. Obviously I can't make any definitive judgment about your specific case, but I'm skeptical of any claim that it's out of the realm of possibility that some genius like Einstein analyzed your problem could get no further than you have.

	▲	nyeah 8 days ago \| parent [-]
		Apparently you will not be told what I'm saying. I read your point and answered it twice. Your latest response seems to indicate that you're ignoring those responses. For example you seem to suggest that I'm "claim[ing] that it's out of the realm of possibility" for "Einstein" to make progress on our work without taking more data. But anyone can hit "parent" a few times and see what I actually claimed. I claimed "mostly" and "for us where I work". I took the time to repeat that for you. That time seems wasted now. Perhaps you view "getting more data" as an extremely unpleasant activity, to be avoided at all costs? You may be an astronomer, for example. Or maybe you see taking more data before thinking as some kind of admission of defeat? We don't use that kind of metric. For us it's a question of the cheapest and fastest way to solve each problem. if modeling is slower and more expensive than measuring, we measure. If not, we model. You do you.