01
Drag sliders, see futures shift live
GDP, population, energy, automation, fragmentation — all live.
civlab·future-simulator.psyverse.fun·simulator
▲ Future Simulator
Drag sliders, see which futures the assumptions actually produce. The point is not prediction — it's intuition.
Future Simulator is an interactive sandbox over a small set of macro variables: AGI capability growth rate, energy cost trajectory, demographic decline, automation deployment speed, geopolitical fragmentation. Pick values; the simulator runs forward 30 years and shows you what those values produce — not as a single prediction, but as a Monte Carlo distribution over plausible outcomes.
The model is deliberately simple. It is wrong about the specifics in the way every macro model is wrong about specifics. What it gets right is the directional logic: here is what the world looks like if these are your assumptions. Change the assumptions; watch the world change. The simulator's value is in giving you intuition for which assumptions are doing the work.
Interactive demo
Use it — don't read about it.
AGI capability growth (% / yr)12.0
060
Energy cost change (% / yr)-2.0
-88
Working-age population (% / yr)-0.4
-22
Automation deployment (% jobs/yr)3.0
012
Geopolitical fragmentation0.50
01
GDP idx (30y)
3373
+3273 vs start
Population
88
-12 vs start
Capability
2031
+1931 vs start
Energy/capita
164
+64 vs start
30-year trajectory (GDP)
now+30y
Note: this simulation is deterministic — same sliders always produce the same output. The point is intuition, not prediction.
Features
What this platform promises.
02
Save and share a scenario URL
Send your assumptions to a colleague — argue from the same numbers.
03
Sensitivity analysis (which slider matters most?)
Tornado chart showing per-variable impact on outcomes.
Modules
Modules that compose this platform.
01 · macro-engine
Macro engine
Coupled ODEs over population, productivity, energy, capability growth.
02 · monte-carlo
Monte Carlo runner
1,000 parameter samples per slider configuration; distributions over outcomes.
03 · scenarios
Scenario library
Pre-built scenario templates: 'fast AGI', 'energy cheap', 'demographic collapse'.
04 · explainers
Driver explainers
For each variable: what it represents, what we know, what's contested.
05 · compare
Compare runs
Side-by-side overlay of two scenarios.
Data model
ScenarioRun
field
type
note
id
uuid
Run id
params
Params
Slider values used
horizon
years
Default 30 years
samples
int
Monte-Carlo sample count
outcome_dist
histogram
GDP / pop / capability bands