And an alternate alternate explanation: Poor priorities. Doctors want to hear all the clinical details, and are mentally worn out by the time they finish with those. There’s just no time or energy to do the math too.
When I used to work for NASA in theoretical air traffic management, I’d try to explain some abstract point about turbulent or chaotic traffic flow to operational FAA guys, and they would get bogged-down in details about what kind of planes we were talking about, what altitudes they were flying at, which airlines they belonged to, and on and on.
You won’t hear that phrase, but I mean the theoretical study of air traffic. For instance, I studied “free flight”, which is when airplanes can fly directly from their takeoff airport to their landing airport and manage their own collision-avoidance, and showed that in certain free-flight situations you can increase the throughput of the airspace by reducing the information that you give to pilots.
It’s an interesting general phenomenon: They try to optimize their route using all of their information. So the more information they have, the more unpredictable their behavior is. More information can actually cause more trouble than it solves in some cases, at least when it’s information about what other agents are doing.
I had a contract from NASA to look for chaotic behavior in en-route air traffic, but my conclusion was that it is unlikely and nothing need be done to avoid it at present.
And an alternate alternate explanation: Poor priorities. Doctors want to hear all the clinical details, and are mentally worn out by the time they finish with those. There’s just no time or energy to do the math too.
When I used to work for NASA in theoretical air traffic management, I’d try to explain some abstract point about turbulent or chaotic traffic flow to operational FAA guys, and they would get bogged-down in details about what kind of planes we were talking about, what altitudes they were flying at, which airlines they belonged to, and on and on.
What is theoretical air traffic management?
I mean, in more detail than I can glean just from knowing what those words mean.
You won’t hear that phrase, but I mean the theoretical study of air traffic. For instance, I studied “free flight”, which is when airplanes can fly directly from their takeoff airport to their landing airport and manage their own collision-avoidance, and showed that in certain free-flight situations you can increase the throughput of the airspace by reducing the information that you give to pilots.
It’s an interesting general phenomenon: They try to optimize their route using all of their information. So the more information they have, the more unpredictable their behavior is. More information can actually cause more trouble than it solves in some cases, at least when it’s information about what other agents are doing.
I had a contract from NASA to look for chaotic behavior in en-route air traffic, but my conclusion was that it is unlikely and nothing need be done to avoid it at present.
Reminds me of Braess’s paradox; a route people don’t know about is similar to one that doesn’t exist.