Related Experiment Video
Updated: Mar 27, 2026

Kinematic History of a Salient-recess Junction Explored through a Combined Approach of Field Data and Analog Sandbox Modeling
Published on: August 5, 2016
What does it mean to predict earthquakes?
1National and Kapodistrian University of Athens, Department of History and Philosophy of Science, University Campus, Ano Ilisia, 15771, Athens, Greece.
Abstract:
In the historical and philosophical literature regarding scientific prediction, what constitutes a prediction is often taken for granted. The debate on prediction is focused on its role and status in the scientific endeavor. In this paper I move in a different direction by problematizing the notion of scientific prediction. I do so by focusing on earthquake prediction, an exemplary case for studying the problem of scientific prediction. More specifically, I focus on a controversy around the so-called VAN method, a method proposed by three physicists as capable of short-term earthquake prediction. This controversy was an integral part of the broader debate regarding the feasibility of earthquake prediction in the 1980s and 1990s. In reconstructing this controversy, I follow scientists in their struggle to define earthquake prediction and to legitimize themselves as experts in earthquake prediction. In other words, I follow their attempts to determine what it means to predict earthquakes.
Related Concept Videos
Estimation of the Physical Quantities
Dynamic Modulus of Elasticity of Concrete
The sonic test is a common method to determine the dynamic modulus. In this test, a concrete beam, sized either 6 x 6 x 30 inches or 4 x 4 x 20 inches, is clamped at its center. Vibrations are initiated at one end of the beam by an electromagnetic exciter unit powered by a...
Steps in Outbreak Investigation
Elasticity in Concrete
Random Error
Prediction Intervals
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.

