Gang! I’ve been toiling around and doing a little bit of research on birth rate trends. While watching the replay from today, I think it might be a good time to chime in with what me and Claude (aka “Clawd”, the thidt AI) analyzing—perhaps serving as an addendum to the Main Event topic/subtopic on US Birth Rates. Mathematically speaking, we are certainly encountering a point of no return!

So, basically, I had Claude run an analysis on US Crude Birth Rate data, going back to 1970. By 2023, it had fallen to 10.7 (which was a 40% collapse in 53 years). I wanted to investigate the decline from a Chaos Theory Bifurcation perspective, which is the same mathematics used to model ecosystem and population collapse. Que the “Undertaker Bell”! 🔔☠️

The system’s restoring force (its ability to snap back after a shock like COVID) is nearly gone! The return map slope sits at ~1.02 post year 2000. A slope of 1.0 means the system is essentially a random walk. One large enough perturbation and it doesn’t recover. Linear and logistic projection models both point to demographic collapse somewhere around 2080–2087 if current trends hold. The picture I've included tells the story visually. I’m sure you can infer some conclusions just by inspection. 🫠

As Coach was saying in the stream today, this isn’t happening in a vacuum. Declining marriage rates, legal risk, being priced out, etc. are contributing factors in this trend. In short, the system is fragile and prone to a metaphorical asteroid. ☄️ And, according to Claude, no government incentive program fixes a dynamical system destabilized at its foundations.

In short, we’re cooked--Senate! ☄️☠️🔔

Have a great night, gentlemen! 🫡🫵😎💪💯

#TheShield 🛡
#MoneyMindset💲
#BossUp2026 💪

References
1. Hamilton BE, Driscoll AK, Miniño AM. Trends in Births and Deaths: United States, 2010–2023. National
Vital Statistics Reports, Vol. 74, No. 11. CDC/NCHS. August 27, 2025.
https://doi.org/10.15620/cdc/174614
2. Rosenstein MT, Collins JJ, De Luca CJ. A practical method for calculating largest Lyapunov exponents
from small data sets. Physica D: Nonlinear Phenomena, 65(1–2), 117–134. 1993.
3. Grassberger P, Procaccia I. Measuring the strangeness of strange attractors. Physica D: Nonlinear
Phenomena, 9(1–2), 189–208. 1983.