What would a “good” WebMD look like?

For example, somebody could search for "best rewards credit card for married couple with normal lifestyle" and find some listicle full of referral links that's a few years old. But the best advice might be in a Reddit or Twitter discussion titled "what's a good card for my P2 with no AF, low MSR, and at least 2CPP" whose replies are terse comments like "CSP?" or "BofA Custom; select CNP transactions as the 3% category and order everything online. they give high CL if you want to AU instead". There's enough jargon and levels of understanding that Google can't find the best advice, only good keyword matches.

I recently had a similar issue when I searched for something well-phrased and generic ("how to stop wood joints from squeaking"). The results were lackluster, but after a few attempts, I found the most helpful results were actually under a specific application ("how to stop a bed frame from squeaking").

So what's my point? It's not Google's fault. They are trying their best of optimize text search, with some fancy word associations and other stuff to help. But it's going to take a lot of effort to make an efficient, scalable, general-purpose AI that can achieve near-human understanding of text and then find the most relevant articles related to that. This "super-Google" would have to comprehend every post and comment on the internet, contextualize the knowledge ("a squeaky bed is caused by squeaky wood joints or fasteners, so this advice is useful for any kind of squeaking wood furniture"), and quickly generate results for every query.

It's not WebMD's fault they have ad revenue that lets them hire writers to SEO their articles with the best keywords. Nor is it Merck's fault that they are using specific language that doesn't cover all the phrases that a person could search. Nor is it Google's for making a search engine without human comprehension. It's just a technological gap that can't be bridged in the present day.

See: clickbait YouTube videos that show you something you really want to see in the thumbnail, then spend 10 minutes doing something else before showing it, and when you see it it’s a tiny aside with no more context than what you got in the thumbnail. If it’s even in the video at all.

Those videos have both high clickthrough (thus “click bait”) and also high dwell time (from people waiting for the thing they wanted to see to show up.) They do also have high bounceback, but only from people who recognize what’s going on. “A new sucker’s born every minute”, and those suckers will click the video and watch it, because they don’t yet know the principle that this specific kind of enticing thumbnail+title format implies that they won’t find what they want here.

These metrics all measure, effectively, “wanting” rather than “having.” It’s like measuring food by how addictive it is, rather than by how satisfied it makes you. You’ll end up optimizing toward cheetos — literally flavoured air — rather than toward anything that fills your stomach. People might enjoy cheetos while they’re eating them, but if they’re genuinely hungry, cheetos won’t solve their problem — they’ll still be hungry afterward.

Reading it makes your appreciate why WebMD exists. Not everyone wants to read highly technical medical jargon and read medical papers. But the HN audience probably has a lot of folks that are down to do that, and I strongly recommend UpToDate for those that do. I use almost every time I have a substantial new issue that requires a physician visit.