> - the KPI "do-more-users-leave-our-platform-earlier-if-our-matching-algo-is-just-too-good" - I promise: In alle the years, this question WAS NEVER - NEVER!!!!!!! - raised, regardless wich Manager or which Exec. This metric isnt even debated.
What labels do they use for training their algos though? What is their definition of a successful match, is it a date, a recurring date, or something closer to a long-term relationship?
If matches predominantly result in "failure" they might just not have enough "long-term success" labels to go by, and their proxy labels will be biased towards short-term successes.
I've cancelled by NYTimes subscription just a few months ago. Didn't have to do any phone calls-- just answered a few questions in the chat, right there on their website.
This is a good quote. One similar way to state it is by using the System 1 / System 2 [1] terminology. Manipulation is when someone pushes the audience to System 1 reasoning, diverting them from using System 2.
It's not a perfect distinction (there probably are cases where appealing to System 2 might look a lot like manipulation), but it's succinct, ends-neutral and not too subjective to be useful in practice.
What labels do they use for training their algos though? What is their definition of a successful match, is it a date, a recurring date, or something closer to a long-term relationship?
If matches predominantly result in "failure" they might just not have enough "long-term success" labels to go by, and their proxy labels will be biased towards short-term successes.