A recent study suggests that we may have a better chance of predicting major earthquakes in the future than previously thought. The study used machine learning algorithms to analyze decades of past earthquakes in California.
Previous attempts to predict earthquakes relied on real-world signals, such as changing water levels, or data analysis of earthquake catalogues, such as the time intervals between earthquakes. However, none of these methods have been consistently reliable.
One of the leading hypotheses proposed by seismologists in the 1970s suggested that earthquake predictability is based…
Article amended on 30 August 2022
We have corrected the size of the area modelled in the earthquake risk assessments.