June 14, 2026 Switzerland Rejects Measure to Cap Its Population at 10 Million NY Times. The referendum was about limiting migration after the number of residents rose by more than a quarter since 2000, but it was framed around affordability and sustainability.
From my perspective, the attempt to automate government started in serious after the 911 Terrorist Attack and the need to connect the dots between law enforcement and National Intelligence in the War on Terror.
Note: I've worked in TECH all my life and I find all this unsettling. I've also worked in Government most of my adult life and find Bureaucracy unsettling.
The front-end vision for government automation seems to be that every government function (paying taxes, getting a driver's license, getting a passport, voting, etc., etc.) could be done with a cell phone mobile app. Behind the front-end is the difficult problem of business process automation. The graphic above summarizes Elon Musk'sfive step process used at SpaceX and Tesla, basically break things quickly and simplify before automation.
For much of Modern History, a Steady-State Economy (see definition below and video above) is thought of as a system state that might or might not happen at some point in the future. The history of the concept is basically that Classical Economists thought (reasonably) that economies would eventually become stationary. Neoclassical Economists, starting in the 20th Century, assume that, as a practical matter, monetized economies can grow forever, given unlimited Technological change. In the Late 20th Century, Ecological Economists viewed the economy as embedded in a Finite Natural System creating a Limit to Economic Growth.
What is missing from this Theoretical History of of the World-System are economies that are in a demonstrable steady state. For that, we need models and Systems Theory provides general models that can be used for this purpose. Neoclassical Economic models confuses Economic Stagnation with a Steady-State Economy Stagnation is a short-run condition while the steady-state is a long-run position of systems with certain characteristics, essentially system stability. Neoclassical economic models do not have enough feedback loops to create long-run stability.
This Blog Roll presents statistically estimated models of Steady-State Economic systems:
A Steady-State Economy for Germany The German economy has basically been in a steady state since 2010. Commentators keep mischaracterizing the steady state as growth stagnation.
Steady-State Economyan economy made up of a constant stock of physical wealth (capital) and a constant population size. In effect, such an economy does not grow in the course of time.
Economic Stagnationa prolonged period of slow economic growth, typically measured in GDP per capita growth or median income growth, which is usually accompanied by high unemployment. Under some definitions, slow means significantly slower than potential growth as estimated by macroeconomists, even though the growth rate may be nominally higher than in other countries not experiencing economic stagnation.
Why should we be interested in the Middle Ages? Right after the Fall of Rome (500 AD) the Middle Ages (500-1500) started with a period that used to be called the Dark Ages, a period after Societal Collapse. Since the publication of the Limits to Growth in 1974 that predicted collapse of the World System by 2100 due to resource exhaustion (see graphic below) and environmental degradation (IPCC), the possibility of Societal Collapsecan no longer be ignored with wishful thinking.
The Dark Ages and the Middle Ages are our best example, from Western Society, of what a period of collapse might look like.
This blog provides a listing of my postings on the Middle Ages. I have estimated State Space statistical models of the World System, the major World Regions and countries (see the Boiler Plate for data sources and how the models were constructed).
Late Middle AgesAround 1350, centuries of prosperity and growth in Europe came to a halt. A series of famines and plagues, including the Great Famine of 1315–1317 and the Black Death, reduced the population to around half of what it had been before the calamities. Along with depopulation came social unrest and endemic warfare.
Feudalisma combination of various customs and systems that flourished in medieval Europe from the 9th to 15th centuries. Broadly defined, it was a way of structuring society around relationships derived from the holding of land in exchange for service or labour.
Common Misconceptions About the Middle Ages State fragmentation and competition characterized much of the history of medieval Western Europe, and that trend would remain true for a long period of history afterwards.
Medieval TechnologyAfter the Renaissance of the 12th century, medieval Europe saw a radical change in the rate of new inventions, innovations in the ways of managing traditional means of production, and economic growth.
We are still suffering from problems poorly resolved at the end of the Long Nineteenth (L19) Century. Systems models look at the L19 as extending from 1800 until well into the 20th Century. My approach is to estimate L19 models on the data from 1800-1899 and then run the models into the 20th Century as if events such as World War I (WWI), the Great Depression, World War II (WWII), the Cold War and other minor Wars of the 20th Century had not happened. In other words, if you had some kinds of models (mental models, mathematical models, whatever) and made 20th Century predictions from these models, what would you have seen. Another way to say this is that if World War I (WWI), the Great Depression andWorld War II (WWII) had not happened, what would have been the course of 20th Century? These Counterfactuals suggest that the Catastrophes of the Early 20th Century were not inevitable and would have allowed is to live in a very different World today.
The purpose of my blogs is to estimate Systems Models, specifically Dynamic Component Models, on historical data. My reason for the project are: (1) The historical data is widely available, (2) current analysis is largely based on mental models and (3) no one seems to be applying Systems models. The reason for point three is that historical data are highly correlated and co-linear. My contribution is to use Principal Components Analysis to implement the Satet Space and solve the co-linearity problem using correlations.
The unique aspect of my blogs, Google sites and work over the last 50 years is that I have estimated State Space Dynamic Component Models (DCM) for all the major countries and regions in the World-System from the year (0) until the present (for more information about periodization, data sources and how the models are constructed, see the Boiler Plate).
The video above explains State Space Systems models which are commonly used in Engineering (not Economics, History or the Social Sciences). What is unique about the DCM models is the definition of System state and how the State Space is constructed:
The state of any system is the collection of independent variables that predict the time path of the system from t1 to tn.
DCMs can be run using R-code on my Google Site, which is organized basically by regions of the World-System, by topicsand by time periods (for example, the Long Twentieth Century).
The Classic EconomistsInterestingly enough, the Classical Economists had more affinity with Systems Theory than do the Neoclassical Economists. Classical Economic models can be easily translated in Systems Theory.
I use my blogs to make informal comments on policy topics related to my research interests in the World-System, computer simulation of the US Health Care System, the US Economy, the US Stock Market, and the US Financial System. I am retired from the University of Wisconsin -- Madison. I have taught Statistics and Computer Science and also served on the UW's HIPAA Task Force and the Bioterrorism Task Force. I have also been a member of my local planning commission, a jazz guitarist and a golfer, so some of that may find its way into the blogs.