Appendix 3—table 1. Results for the fits of survival time probabilities shown in Figure 4.

The parameters and the analytical survival functions used to fit the Kaplan-Meier estimator survival curves.

Rab5 data	Survival function $\mathrm{\Psi }(t)$	Fit parameters for Figure 4
Anti-persistent	$e^{-\lambda t}{\left(\frac{{\tau }_0}{{\tau }_0+t}\right)}^{\mu }$	$\mu =0.518\pm 0.004$, ${\displaystyle {\tau }_0=0.140\pm 0.002s}$, ${\displaystyle \lambda =0.352\pm 0.002s^{-1}}$
Persistent	$e^{-\lambda t}{\left(\frac{{\tau }_0}{{\tau }_0+t}\right)}^{\mu }$	$\mu =1.352\pm 0.102$, ${\displaystyle {\tau }_0=0.045\pm 0.006s}$, ${\displaystyle \lambda =1.286\pm 0.142s^{-1}}$
SNX1 data	Survival function $\mathrm{\Psi }(t)$	Fit parameters for Figure 4
Anti-persistent	$e^{-\lambda t}{\left(\frac{{\tau }_0}{{\tau }_0+t}\right)}^{\mu }$	$\mu =0.757\pm 0.023$, ${\displaystyle {\tau }_0=0.118\pm 0.006s}$, ${\displaystyle \lambda =1.004\pm 0.016s^{-1}}$
Persistent	$e^{-\lambda t}{\left(\frac{{\tau }_0}{{\tau }_0+t}\right)}^{\mu }$	$\mu =2.034\pm 0.205$, ${\displaystyle {\tau }_0=0.185\pm 0.026s}$, ${\displaystyle \lambda =0.659\pm 0.137s^{-1}}$
Lysosome data	Survival function $\mathrm{\Psi }(t)$	Fit parameters for Figure 4
Anti-persistent	$e^{-\lambda t}{\left(\frac{{\tau }_0}{{\tau }_0+t}\right)}^{\mu }$	$\mu =1.113\pm 0.009$, ${\displaystyle {\tau }_0=0.208\pm 0.003s}$, ${\displaystyle \lambda =0.5s^{-1}}$ (fixed)
Persistent	$e^{-\lambda t}{\left(\frac{{\tau }_0}{{\tau }_0+t}\right)}^{\mu }$	$\mu =1.748\pm 0.065$, ${\displaystyle {\tau }_0=0.041\pm 0.003s}$, ${\displaystyle \lambda =1.216\pm 0.139s^{-1}}$