
I subscribe to quite a few econ blogs and, recently, multiple economists with advanced degrees and university tenure posted about this article from the magazine Wired. Basically, the article talks about how most investment professionals trusted this BS stat function made up by some quant because they did not understand the mathematics behind it or else they did and knew there was money to be made anyways. The major point is that the investment industry relies on a blend of stats and hype which is a recipe for disaster. My point is that no matter how much credibility or money somebody in the investment industry has, they are pretty much just a greedy, hack who contributes nothing to society.
Ironically, the field of economics is in the exact same state. This is not some minor little instance of irony. This is THE full blown ironic twist like Wolfgang Puck’s scrapple and grits or saving the environment with corn based ethanol.
Economists base their own arguments on statistical models. Statistical models are great for determining correlation within a closed system with given metrics. However, correlation in real world open systems based on statistical models is BS.
Here is why:
- Behavioral unknown. Often statisticians account for this with margin of error. However, as more variables are added to the model, the margin of error goes up exponentially. In real world situations the behavioral element makes most economic modeling meaningless. Behavioral trends are exactly that, trends. They are time and place specific.
- Parameters. Have you ever done a project using multiple regression analysis? I have. Quite a few, in fact. No matter how big the sample set and accurate the data there are still parameters that the modeling is based on. The parameters always have an arbitrary element. For a model to work there must be givens. Unfortunately, these givens (aka assumption parameters) are subject to change. A model is only really useful in the particular instance it is created from.
- Hedonic valuation. This technique is used to indirectly quantify something that is abstract. Economists love quantifying stuff because then they can write up a statistical analysis paper that backs up their favored theories.
Anyways, the point is that there are lots of economists with tons of popular credibility and tenure that are full of shit. There are even economists who write academic text books or win Nobel prizes who are hacks. In fact, the discipline, as a generalization, is pretty off base regarding approach. In fact, that is why I majored in it. My father is a PhD Physicist who worked for Intel for the majority of his career and my grandfather a PhD Aeronautical Engineer (rocket scientist) who worked Nasa for the majority of his career. I have an exceptional comprehension of the mathematical (I had better be a math person, you see how I write, lulz) and was starting down the path towards a physics major when I got enthralled with Economics. I switched majors because I noticed that there is something fundamentally wrong with the discipline. I thought that the entire basis of the study of economics is flawed. I wanted to understand economics at a root level and see what the problem is and what I can do to fix it.
In Anathem, by Neal Stephenson, there are tons of really cool intellectual concepts; it is a great work of fiction. The one that pertains to my point is the book. The book is used as punishment for the academic monks who break the rules. Basically, the book is either exhaustively pointless busy work, like memorizing pi to a thousand places, or flawed conceptual work, like learning material that 98% true with just enough wrong with it to infuriate the student. The driving concept of the book is that exhaustive busy work or slightly flawed theoretics is equivalent to intellectual torture. I hope you get where I am going with this.
Economics uses flawed theory and exhaustively pointless proofing. The flaws take place at the individual level, so are compounded by several orders of magnitude when applied at the aggregate level. In the end, decisions that effect everybody are made based on pseudo-mathematical concepts that are misunderstood or misrepresented. The end result grossly detracts from humanity. However, since it comes from people that write textbooks or win Nobel prizes everybody just shuts up and goes with it. Just like the investment industry and the Gaussian Copula Function.
Ironically, these same hacks are posting about the flaws in the investment industry and linking to are article that condemns the industry for using pseudo-math and partaking in follow the leader.
Hello?
Earth to economists?
This is some Alanis Morissette shit.

Update:
Here is a white paper that talks about the point that I am trying to make in this post about the study of Economics being significantly flawed. Unsurprisingly, the paper is a helluva lot more articulate (though a bit pompously verbose) than my clumsy words.
The Financial Crisis and the Systematic Failure of Academic Economists
There are a ton of good points about the failures within the Economics discipline. However, I must disagree with the bits about needing a deeper basis in empiricism regarding modeling. It is naive to even begin to allude that Economics can be based on empirics. The empirical process calls for controlling variables, which is impossible in open systems with infinite variables. Yes, IMPOSSIBLE. Economics cannot be approached empirically in any manner that is meaningful. Open systems with infinite variables require the technique that I refer to as open system analysis.
Posted in Economics, Society
Tags: Economics, economists, economy, gaussian copula function, investment industry, ironic, irony, metrics, statistics, wired article