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I would push back on that. I think often people's "vibes" are a lot closer to reality than extremely gamed metrics

ACCount37 1y ago
There are people whose "vibes" are closer to reality than hard cold data. And then there are people who think their "vibes" are closer to reality than hard cold data. The second group is much, much larger. I don't trust vibes.
- andsoitis 1y ago
  Do you trust your own intuition and judgment on at least some matters or topics where data is scarce, ambiguous, or contradictory?
  - teamonkey 1y ago
    In the absence of data yes, but intuition and judgement are just heuristics; they suffer strongly from personal biases and are not necessarily representative of reality.
    - andsoitis 1y ago
      It also requires judgment and critical thinking to decide things like: a) is this data accurate b) is this data complete c) is this data relevant etc. So even the act of selecting data is subject to bias, good judgment.
      - teamonkey 1y ago
        You make it sound like you’re just shifting the problem elsewhere, when this isn’t the case. It’s not wholly subjective. Some of the processes you can use to understand your data are mathematically proven. Many others are well-tested. In any case the idea is to try to minimise your biases and check whether your assumptions are valid so that you can make better, more reliable, more informed decisions. It doesn’t have to be a perfect system to be better. You might not want to, of course.
- deleted 1y ago
  [deleted]
elevaet 1y ago
Sometimes vibes includes things we're trying to get away from like stereotyping visible groups of people.
- lo_zamoyski 1y ago
  Interesting your mind went there.
- snapcaster 1y ago
  You're right. Of course i'm not rejecting "data" or "analysis" entirely, what im pushing back against is the (very common) thing that happens in companies where you get into a situation of "who you going to trust? the data or your own lying eyes" kind of thing
  - elevaet 1y ago
    Yeah I agree with you. I think it's a good approach to check vibes against data and vice-versa, and not blindly trust one over the other - use one to look critically at the other. They both have defects.

There are people whose "vibes" are closer to reality than hard cold data. And then there are people who think their "vibes" are closer to reality than hard cold data. The second group is much, much larger. I don't trust vibes.

andsoitis 1y ago
Do you trust your own intuition and judgment on at least some matters or topics where data is scarce, ambiguous, or contradictory?
- teamonkey 1y ago
  In the absence of data yes, but intuition and judgement are just heuristics; they suffer strongly from personal biases and are not necessarily representative of reality.
  - andsoitis 1y ago
    It also requires judgment and critical thinking to decide things like: a) is this data accurate b) is this data complete c) is this data relevant etc. So even the act of selecting data is subject to bias, good judgment.
    - teamonkey 1y ago
      You make it sound like you’re just shifting the problem elsewhere, when this isn’t the case. It’s not wholly subjective. Some of the processes you can use to understand your data are mathematically proven. Many others are well-tested. In any case the idea is to try to minimise your biases and check whether your assumptions are valid so that you can make better, more reliable, more informed decisions. It doesn’t have to be a perfect system to be better. You might not want to, of course.
deleted 1y ago
[deleted]

elevaet 1y ago

Sometimes vibes includes things we're trying to get away from like stereotyping visible groups of people.

lo_zamoyski 1y ago
Interesting your mind went there.
snapcaster 1y ago
You're right. Of course i'm not rejecting "data" or "analysis" entirely, what im pushing back against is the (very common) thing that happens in companies where you get into a situation of "who you going to trust? the data or your own lying eyes" kind of thing
- elevaet 1y ago
  Yeah I agree with you. I think it's a good approach to check vibes against data and vice-versa, and not blindly trust one over the other - use one to look critically at the other. They both have defects.