121–130 of 274 posts
It's Goodhart's Law in action, this time with deadly consequences: "When a measure becomes a target, it ceases to be a good measure."[a] [a] https://en.wikipedia.org/wiki/Goodhart%27s_law
The subtext is that the system won't improve; rather, something in the system will be sacrificed to improve the metric. The end result (usually quality) won't improve.
They need to add a difficulty correlated metric to the statistics. Maybe BMI and age? I am sure IVF clinics wouldn't offer the procedure to anyone over 35 if the rather detailed statistics they are required to report didn't also include the patient's age.
I imagine it’s extremely difficult to come up with a metric that captures everything about the case. BMI, age, tumor type, tumor shape, history of kidney disease, diabetes, where do you stop?
Sports athletes do this. For example players won't attempt end of the quarter half court shots since that will lower their percentages, or QBs taking sacks to not lower their QB ratings. What they do in sports is keep advanced stats. Instead of just giving a pure mortality rating have mortality rating, by surgery type.
Maybe in other sports this happens, but I seriously doubt QB's engage in that. First of all, taking a sack is not pleasant. In the extreme it can take you out of the game, or land you on the IR (injured reserve). Drew Bledsoe was replaced by Tom Brady after such a sack, and was never the star he had been before. Second, the number of sacks a QB takes is a statistic in itself. Third, the top stats for a QB are in this…
rodgers had a 50 sack season twice in his career and has a sack career of 6.96. this is reflected on his interception rate (which is the best in the nfl). he just prefers to take a sack to attempt a pass that could be intercepted -- and everybody looks at those int/td numbers and don't look a lot at sack numbers (because sacks are usually not the qb fault).
Earlier quoted context omitted.
I'm not so sure Goodhart's Law is correct. For example, if I target a high win percentage, is win percentage, then, not a good measure? Mortality rates are a pretty good measure for surgeons. The problem here is that they are inflating their measure by cherry picking. edit: Some measures should be targeted, the problem here is that it is done in an non genuine way
the problem here is that mortality rate is not correlated/normalized with the patient risk factor. the problem lies in the performance indicator itself, not strictly people trying to optimizing for what they are asked for. it is likely inhumane to refuse patients that have slightly above average risk - even if there are some considerations to be had, like having replacement organs go to waste, but that is already cov…
Earlier quoted context omitted.
I'm not so sure Goodhart's Law is correct. For example, if I target a high win percentage, is win percentage, then, not a good measure? Mortality rates are a pretty good measure for surgeons. The problem here is that they are inflating their measure by cherry picking. edit: Some measures should be targeted, the problem here is that it is done in an non genuine way
the problem here is that mortality rate is not correlated/normalized with the patient risk factor. the problem lies in the performance indicator itself, not strictly people trying to optimizing for what they are asked for. it is likely inhumane to refuse patients that have slightly above average risk - even if there are some considerations to be had, like having replacement organs go to waste, but that is already cov…
It's Goodhart's Law in action, this time with deadly consequences: "When a measure becomes a target, it ceases to be a good measure."[a] [a] https://en.wikipedia.org/wiki/Goodhart%27s_law
Some may know Jeffrey Hudson better by his given name, Michael Crichton.
It's Goodhart's Law in action, this time with deadly consequences: "When a measure becomes a target, it ceases to be a good measure."[a] [a] https://en.wikipedia.org/wiki/Goodhart%27s_law
When I was fresh out of a school I worked in a call center for a while. One of the most important metrics (and everything you did was measured) was the average length of each call. So it was common practice, when you got cases that basically were going to be long calls or ones you probably couldn't actually resolve (e.g., "I want the service back on but cannot pay"), to deliberately upset the customers so that they w…
Earlier quoted context omitted.
What are the rates?
http://www.mercyforanimals.org/american-heart-association-ve...
What kind of study design is this? It seems like they compared veganism with 4 garbage diets. Seems like all we can extract from this is plant-based is better than eating trash.