Right, so you’ve admitted the data doesn’t exist in the way you would want it, so what does that leave? Surveys, perhaps? The thing you denigrated as “anecdote”. But like, you know surveys are done all the time in science, right? Have you ever heard the saying “the plural of anecdote is data”? That’s why those researchers not only did surveys, but the paper writers looked at many surveys across many parts of the economy. They are doing science to determine the causal mechanisms at the microeconomic level, because those mechanisms add up to macroeconomic phenomena. You can talk about rates of exchange or whatever all day, but in the end it is many exchanges happening at the micro level.
Another place where this happened was the stock market. You’d think if you wanted loads of fluctuating prices responding to supply & demand that would be the place to find it, right? Supply & demand would suggest the market would stabilise and level itself, but doesn’t explain the volatility we see. Well, the theory of how the market worked used to be of rational actors working to maximise their self interest, but that model doesn’t predict the behaviour of the stock market when you simulate it on a computer. You know what does? Simulating irrational actors making decisions based on entirely randomised and arbitrary internal rulesets. That gives you the boom & bust cycles that we actually see in reality.
And my point about the scalpers is that the behaviour is aberrant. Companies don’t do it, even though supply & demand says they could, because they know that it would destroy their good will with customers. That should tell you something about how prices are set elsewhere in the economy, and wouldn’t you know it, when people talk to the price setters, they find that they avoid raising prices until their supply chain forces them to. The markets favour stability over price changing, because they don’t want to piss off customers.
Companies raising prices wouldn’t be better, it would just make ticket prices high across the board. Your scenario of scalpers buying up the entire supply doesn’t actually happen. That’s probably due to them needing to hedge their bets. They can’t sell every ticket every time, they have to guess at how many they can sell, which requires high margins and thus very high prices. Oh look, it’s a supply chain explanation for scalping. I don’t know if it’s true because I have no data, but it’s an explanation. Apparently that’s all you need. I expect my fake nobel prize any day now.
Also, saying you “work with” people in hard science is pretty telling. So you don’t actually do hard science then? You never got any training in it? Because again, if you had been trained in any actual sciences you might have noticed that the data people show you for instructional purposes tends to be real. It tends to be messy. It is not a bunch of doodles.
Anyway, that’s besides the point because you’ve already admitted what I’ve been saying this whole time: the data isn’t there. Supply & demand is an article of faith until someone does the work to look and see if it’s there. Well, people have looked, and they haven’t found it.
Right, so you’ve admitted the data doesn’t exist in the way you would want it, so what does that leave? Surveys, perhaps? The thing you denigrated as “anecdote”. But like, you know surveys are done all the time in science, right? Have you ever heard the saying “the plural of anecdote is data”? That’s why those researchers not only did surveys, but the paper writers looked at many surveys across many parts of the economy. They are doing science to determine the causal mechanisms at the microeconomic level, because those mechanisms add up to macroeconomic phenomena. You can talk about rates of exchange or whatever all day, but in the end it is many exchanges happening at the micro level.
Another place where this happened was the stock market. You’d think if you wanted loads of fluctuating prices responding to supply & demand that would be the place to find it, right? Supply & demand would suggest the market would stabilise and level itself, but doesn’t explain the volatility we see. Well, the theory of how the market worked used to be of rational actors working to maximise their self interest, but that model doesn’t predict the behaviour of the stock market when you simulate it on a computer. You know what does? Simulating irrational actors making decisions based on entirely randomised and arbitrary internal rulesets. That gives you the boom & bust cycles that we actually see in reality.
And my point about the scalpers is that the behaviour is aberrant. Companies don’t do it, even though supply & demand says they could, because they know that it would destroy their good will with customers. That should tell you something about how prices are set elsewhere in the economy, and wouldn’t you know it, when people talk to the price setters, they find that they avoid raising prices until their supply chain forces them to. The markets favour stability over price changing, because they don’t want to piss off customers.
Companies raising prices wouldn’t be better, it would just make ticket prices high across the board. Your scenario of scalpers buying up the entire supply doesn’t actually happen. That’s probably due to them needing to hedge their bets. They can’t sell every ticket every time, they have to guess at how many they can sell, which requires high margins and thus very high prices. Oh look, it’s a supply chain explanation for scalping. I don’t know if it’s true because I have no data, but it’s an explanation. Apparently that’s all you need. I expect my fake nobel prize any day now.
Also, saying you “work with” people in hard science is pretty telling. So you don’t actually do hard science then? You never got any training in it? Because again, if you had been trained in any actual sciences you might have noticed that the data people show you for instructional purposes tends to be real. It tends to be messy. It is not a bunch of doodles.
Anyway, that’s besides the point because you’ve already admitted what I’ve been saying this whole time: the data isn’t there. Supply & demand is an article of faith until someone does the work to look and see if it’s there. Well, people have looked, and they haven’t found it.