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I don’t have full context but why it does not make sense to invest in bringing down the error in measuring a very important metric ? I used to barbecue using m
by whatever1 4y ago
I don’t have full context but why it does not make sense to invest in bringing down the error in measuring a very important metric ?
I used to barbecue using my experience(eyeballing it), and many times I was getting food cooked pretty well, but it was very unpredictable.
After I bought remote thermometer I consistently cook my food to perfect temperature.
- pilotneko 4y agoBecause the measurement itself was noisy, and unless the operational metric was updated, it would never be stable. I’ve experienced this hell, where a client is “red” or “yellow” based on an a phone call with an account manager. That assessment is one of many inputs to a flawed operational metric that swings wildly. To extend your metaphor, imagine if you were constrained to only visually asses the food. Your fancy new remote monitoring system is simply a camera that allows a stupidly expensive pitmaster view your food and make an expert assessment. The result might get a little better, but it’s (probably) never going to be as good as using an actual thermometer.