Recent earthquakes in Venezuela renew attention on the limits of existing earthquake early warning systems, which can provide alerts but cannot reliably prevent damage. Across accounts, researchers note that even with years of progress—including improved computer modeling and artificial intelligence methods, satellite-based monitoring, and denser ground-based seismic networks—earthquakes often still occur with little or no warning for people in affected areas. The central challenge is that warning depends on quickly detecting a triggering event and accurately estimating key parameters in time to broadcast useful alerts. When the necessary information is incomplete or when seismic waves reach populations faster than alerts can be issued, warnings may be delayed or fail to help. Sources emphasize that while early warning technology can sometimes reduce impacts by giving seconds to minutes of notice, it is not a guarantee. They also point to scientific and operational constraints, such as variability in earthquake behavior and the difficulty of forecasting exactly when and where an earthquake will occur. Together, the reports present early warning as a developing capability that can help in some scenarios, while still falling short of fully predicting earthquakes.