HomeEconomics & Social SystemsQuantum-Tech Startup Survival Analysis

Quantum-Tech Startup Survival Analysis

Explore the survival rates of quantum-tech startups using a real Kaplan-Meier estimator, with adjustable funding environments and dynamic cohort simulation.

Economics & Social Systems2DAdvanced60 FPS📱 Mobile-adapted⇄ 3D version
qe-topic-68 ↗ Open standalone

Explore the survival rates of quantum-tech startups using a real Kaplan-Meier estimator, with adjustable funding environments and dynamic cohort simulation. Each of 60 startups is assigned a true failure month drawn from a genuine Weibull hazard process before the simulation starts; a "funding environment" slider scales that hazard so tighter funding visibly raises the failure rate and looser funding lowers it. As the simulated clock advances, startups fail at their drawn times or are right-censored as still-surviving at the observation horizon, and the actual product-limit estimator Ŝ(t) = Π(1 − d_i/n_i) is recomputed live from those real event and censoring times — producing a genuine step-function survival curve alongside a Gantt-style strip of every individual startup's lifeline.

⚙ Under the hood

Explore the survival rates of quantum-tech startups using a real Kaplan-Meier estimator, with adjustable funding environments and dynamic cohort simulation.

startupssurvival analysisKaplan-Meierproduct-limit estimatorhazard functionright-censoringventure fundingquantum computingeconomicsstatisticssimulation

2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install

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