## The New Challenge: From a Century of Statistics to an Age of Causation (1997)

Venue: | COMPUTING SCIENCE AND STATISTICS |

Citations: | 11 - 1 self |

### BibTeX

@ARTICLE{Pearl97thenew,

author = {J. Pearl},

title = {The New Challenge: From a Century of Statistics to an Age of Causation},

journal = {COMPUTING SCIENCE AND STATISTICS},

year = {1997},

volume = {29},

pages = {415--423}

}

### Years of Citing Articles

### OpenURL

### Abstract

Some of the main users of statistical methods -- economists, social scientists, and epidemiologists -- are discovering that their fields rest not on statistical but on causal foundations. The blurring of these foundations over the years follows from the lack of mathematical notation capable of distinguishing causal from equational relationships. By providing formal and natural explication of such relations, graphical methods have the potential to revolutionize how statistics is used in knowledgerich applications. Statisticians, in response, are beginning to realize that causality is not a metaphysical deadend but a meaningful concept with clear mathematical underpinning. The paper surveys these developments and outlines future challenges.