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A system passes a tipping point when gradual changes in input levels cause the output to suddenly change state and could potentially be irreversible. Tipping events occur in many different fields of science for example epileptic seizures and Arctic sea ice melting. Having the ability to forecast these happening would be of great benefit. Three types of tipping include: bifurcation, noise and rate-induced tipping. For bifurcation tipping early-warning indicators are rather well developed. However, for noise and rate-induced tipping this is not the case and my work is looking at creating an additional/new early-warning indicator to detect a tipping event before it occurs.