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Clickbait, deceptive title. What the author means is ‘get real about continuous learning’ Of course it takes money to run experiments you can actually learn f
by throwaway2562 2y ago
Clickbait, deceptive title.
What the author means is ‘get real about continuous learning’
Of course it takes money to run experiments you can actually learn from, and the article is bereft of practical advice about doing this on the cheap.
However, I clicked. But you don’t have to.
- ekianjo 2y agoI did not see any practical advice in the post. Did I miss something?
- skobes 2y ago"Bereft of" means lacking, so you agree with the person you're replying to.
- matsemann 2y agoThat's a pretty low bar to call something click bait. It's not click bait just because you disagree with the content. Edit: and I think the title matched the content fairly ok?
- shermantanktop 2y agoIt is clickbait, by definition. The title baited with a promise of one type of content, the click yielded a different type of content.
- kunley 2y agoAh, no, the article is about what it says in the title... Are you referring to the slightly edited title someboty has put here at HN? But still, no dissonance with the content
- jjk166 2y agoAn article with a deceptive title and lacking substance is textbook clickbait.
- jantissler 2y agoThe title is "The Worst Outcome is a Mediocre Success" and that's what this is about. How is this deceptive? The "substance" part might be debatable. I personally don't think every post has to go in-depth on everything. I enjoyed his nugget of insight.
- jjk166 2y agoIt's deceptive because the title is being used in a way that you would not guess without reading the article and suggests highly that it is referring to something completely different. "Mediocre success" is not a synonym for "ambiguous result" and in context most would assume it is referring to financial success. The updated title is much better.
- anonu 2y agoAs someone who went through the startup grind, I think the entire message is in the title and its spot on. Did you read the article? Running experiments means you need to have a null hypothesis - and in a sales conversion experiment, for example, the null should be calibrated to ensure your conversions are scalable wins and not just one-offs.