A good model isn't a description, it's an explanation. An accumulation of observations does not explain anything.
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But you will still have no idea that these results are produced via the PageRank algorithm. In fact, you won't have learned anything useful about the system at all. You won't be able to create your own search engine. You won't even know what makes a search engine good.
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You will also have gained no context about what surrounds the system -- what search engines are for, or what kind of cultural, technological and economic forces shape the company that developed this one
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You will have accumulated terabytes of data about the system, and yet you will still be infinitely far away from what you could learn from a 3-paragraph explanation written by someone who actually understands the system.
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A 100% complete and accurate recording of brain activity during an entire lifetime -- or a 100% 1:1 brain simulation -- would be like recording millions of search results for different queries. A description, not an explanation.
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And not conducive to building a new system that isn't just a faded Xerox of the original. (some people did try to build new search engines that way -- didn't really work out)
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Now, this is a pretty obvious statement and smart people have known this since the 1970s. Yet, I don't think too many people have thought through the implications down to their conclusion
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End of conversation
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