This is funny but I do not think that Goodhart’s law is biting. Sometimes, measures can be optimal. Consider that all this Bob’s ‘suboptimal’ development leads him to step back and see a better solution: the car driver is going to drive safely and Alice joins the introductions via videoconference. So, even being frantic about a metric, which is possibly not the ultimate target (the meeting going well?) can lead to a solution that meets this target, while also optimizes for the ‘proxy’ metric.
There is no need to explicitly reflect on purpose for this likely development toward an optimal solution. Actually, are you frantic about optimization for suboptimal optimization? I think so because perceived imposition may create inefficiencies. (Also take this as expressive writing.)
This is funny but I do not think that Goodhart’s law is biting. Sometimes, measures can be optimal. Consider that all this Bob’s ‘suboptimal’ development leads him to step back and see a better solution: the car driver is going to drive safely and Alice joins the introductions via videoconference. So, even being frantic about a metric, which is possibly not the ultimate target (the meeting going well?) can lead to a solution that meets this target, while also optimizes for the ‘proxy’ metric.
There is no need to explicitly reflect on purpose for this likely development toward an optimal solution. Actually, are you frantic about optimization for suboptimal optimization? I think so because perceived imposition may create inefficiencies. (Also take this as expressive writing.)