Hello everyone, hope you’re doing well!

I’m a rising resident physician in anatomic/clinical pathology in the US, with a background in bioinformatics, neuroscience, and sociology. I’ve been giving lots of thought to the increasingly chaotic and unpredictable world we’re living in…. and analyzing how we can address them at their potential root causes.

I’ve been developing a new theoretical framework to model how social systems evolve into more “chaos” through on feedback loops, perceived fairness, and subconscious cooperation breakdowns.

I’m not a mathematician, but I’ve developed a theoretical framework that can be described as “quantification of society-wide karma.”

• Every individual interacts with others — people, institutions, platforms — in ways that could be modeled as “interaction points” governed by game theory.
• Cognitive limitations (e.g., asymmetric self/other simulation in the brain) often cause people to assume other actors are behaving rationally, when in fact, misalignment leads to defection spirals.
• I believe that when scaled across a chaotic, interconnected society using principles in chaos theory, this feedback produces a measurable rise in collective entropy — mistrust, polarization, policy gridlock, and moral fatigue.
• In a nutshell, I do not believe that we as humans are becoming “worse people.” I believe that we as individuals still WANT to do what we see as “right,” but are evolving in a world that keeps manifesting an exponentially increased level of complexity and chaos over time, leading to increased blindness about the true consequences of our actions. With improvements in AI and quantum/probabilistic computation, I believe we’re nearing the ability to simulate and quantify this karmic buildup — not metaphysically, but as a system-wide measure of accumulated zero-sum vs synergistic interaction patterns.

Key concepts I’ve been working with:

Interaction Points – quantifiable social decisions with downstream consequences.

Counter-Multipliers – quantifiable emotional, institutional, or cultural feedback forces that amplify or dampen volatility (e.g., negativity bias, polarization, social media loops).

Freedom-Driven Chaos – how increasing individual choice in systems lacking cooperative structure leads to system destabilization.

Systemic Learned Helplessness – when the scope of individual impact becomes cognitively invisible, people default to short-term self-interest.

I am very interested in examining whether these ideas could be turned into a working simulation model, especially for understanding trust breakdown, climate paralysis, or social defection spirals plaguing us more and more every day.

Looking For:

• Collaborators with experience in:
  • Complexity science
  • Agent-based modeling
  • Quantum or probabilistic computation
  • Behavioral systems design
• Or anyone who can point me toward:
  • Researchers, institutions, or publications working on similar intersections
  • Ways to quantify nonlinear feedback in sociopolitical systems

If any of this resonates, I’d love to connect.

Thank you for your time!