Annual Lecture Series (in-person)
Lunchtime Talks (in-person)
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ALS: E. Tal
February 25 @ 3:30 pm - 5:30 pm EST
Eran Tal, Department of Philosophy, McGill University
Measurement Outcomes as Best Predictors
Abstract: I argue for a view of measurement that treats measurement results (‘outcomes’) as predictors of patterns in data. The data in question may be records of instrument indications, such as thermometer readings, or future data, such as records of health outcomes. Not every predictor of a data pattern is a measurement outcome. Rather, successful measurement produces the best predictors in accordance with specific epistemic and practical criteria. Variations in these criteria account for differences among measurement approaches in the sciences. The best-predictor view clarifies, among other things, the justification for using measurement outcomes as evidence and the possibility of evaluating measurement accuracy.
Please note this talk has been moved online. Zoom registration here: https://pitt.zoom.us/webinar/register/WN_JfM_2QFyTvGd-ZOSFUrFYQ