A Youtuber called axe863 made a video in which he used scientific, mathematical and statistical common-sense to deliver the KO that the Venus Project and Zeitgeist Movement so richly deserved.
If his approach seems weird and unconventional it's because he's not attacking from a tradition neoclassical or Keynesian perspective. Axe863's poison is complexity economics, something a good deal more dangerous to ideas like TVP and TZM. 
Now to a couple of comment threads from below the video that I thought could od with being replicated just in case they get deleted at source!
AstralLuminary1 year ago
Why can't we generalize the consumption patterns of middle-income people in the western world, set our constraints equal to the amount of localized resources, and the rate of resource recovery, derive a population growth model that would be sustainable to said consumption patterns, and derive the necessary quantifiable amount of work required to expend a self-sustaining system of sorts
Aistis Raulinaitis1 year ago
Ok, just try the first part. Not even everything else you set forth. Try to generalize consumption patterns.
How could you know a year ago that people would want, for example this thing called the apple watch? How could any program you write possibly ever come up with something as complex and yet desirable as an apple watch? Now lets go through the rest of your claims of trivial calculation, localized resources.
How do you know how much Ullmannite, Bunsenite, and Cooperite you have in the cubic meter of ground underneath you without measuring it? That's a localized resource, it should be trivial to compute, right?
As for the rest of the things you can supposedly "derive", you can see the pattern of difficulty in any one of these calculations. Let alone things like labor and tool inefficiencies, the complexities of cultural differences of quality of labor, quality differences in goods produced leading to unexpected feedback loops in the economy. It's not all just about quantity.
The best you can do is to look at historical data and then try to have some sort of regression analysis. But you might know that good retrodictive capabilities does not imply good predictive capabilities.
Nassim Taleb and many others have spoken about this exact subject in the context of algorithmic trading and how even the HTF guys are still constantly vulnerable to "black swan" like events. Meaning all market actors, even the supposedly evil algotraders [traders using algorithms] are constantly exposed to unpredictable forms of counter-party risk.
Now imagine this situation, the entirety of all human action is orchestrated by the program that you wrote. Think about the kinds of strange interactions we get when we have a large amount of actors exposed to a black swan events in the market in things like flash crashes and even larger events like the housing crisis or the looming sovereign debt crisis.
Even with the resiliency that a market provides, through losses being spread across all the participants, there was still much worry about the stability of our current system. Now think about what would happen if your program encountered one of these events and it was the only actor in which risk could be spread across. It would be disastrous.
 The Logical Destruction of TVP part 1 by axe863
 Complexity economics article on Wikipedia
 Desirable Properties of an Ideal Risk Measure in Portfolio Theory by various
 Radon-Nikodym Theorem article on Wikipedia
 The Radon-Nikodym Theorem by Yongheng Zhang
 Pricing in Terms of Market Probabilities: The Radon Nikodym Theorem by Jan Roman
 Lecture 10: Change of Measure and the Girsanov Theorem by Steven Lalley