<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Can purely predictive models be useful in investigating causal systems? I argue “yes”. Moreover, in many cases not only are they useful, they are essential. The alternative is to stick to models or mechanisms drawn from well-understood theory. But a necessary condition for explanation is empirical success, and in many cases in social and field sciences such success can only be achieved by purely predictive models, not by ones drawn from theory. Alas, the attempt to use theory to achieve explanation or insight without empirical success therefore fails, leaving us with the worst of both worlds—neither prediction nor explanation. Best go with empirical success by any means necessary. I support these methodological claims via case studies of two impressive feats of predictive modelling: opinion polling of political elections, and weather forecasting.</p></abstract>

Can purely predictive models be useful in investigating causal systems? I argue “yes”. Moreover, in many cases not only are they useful, they are essential. The alternative is to stick to models or mechanisms drawn from well-understood theory. But a necessary condition for explanation is empirical success, and in many cases in social and field sciences such success can only be achieved by purely predictive models, not by ones drawn from theory. Alas, the attempt to use theory to achieve explanation or insight without empirical success therefore fails, leaving us with the worst of both worlds—neither prediction nor explanation. Best go with empirical success by any means necessary. I support these methodological claims via case studies of two impressive feats of predictive modelling: opinion polling of political elections, and weather forecasting.

When are Purely Predictive Models Best?

Disputatio

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{"article-title":"When are Purely Predictive Models Best?"}

Can purely predictive models be useful in investigating causal systems? I argue “yes”. Moreover, in many cases not only are they useful, they are essential....

When are Purely Predictive Models Best?

Publié en ligne: 16 oct. 2018

Pages: 631 - 656

Reçu: 05 sept. 2017

Accepté: 02 nov. 2017

DOI: https://doi.org/10.1515/disp-2017-0021

Mots clés
Prediction, explanation, weather, causation, idealization

© 2017 Robert Northcott, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

When are Purely Predictive Models Best?

Publié en ligne: 16 oct. 2018

Pages: 631 - 656

Reçu: 05 sept. 2017

Accepté: 02 nov. 2017

DOI: https://doi.org/10.1515/disp-2017-0021

Mots clésPrediction, explanation, weather, causation, idealization

© 2017 Robert Northcott, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Mots clés
Prediction, explanation, weather, causation, idealization