A double-slit experiment with human subjects

We study a sequence of double-slit experiments designed to perform repeated measurements of an attribute in a large pool of subjects using Amazon's Mechanical Turk. Our findings contrast the prescriptions of decision theory in novel and interesting ways. The response to an identical sequel measurement of the same attribute can be at significant variance with the initial measurement. Furthermore, the response to the sequel measurement depends on whether the initial measurement has taken place. In the absence of the initial measurement, the sequel measurement reveals additional variability, leading to a multimodal frequency distribution which is largely absent if the first measurement has taken place.

Automated summary

The study indicates that responses from subjects to repeated measurements of the same attribute may vary significantly between different measurements, contrasting with the predictions of decision theory. Additionally, the response to sequel measurements also depends on whether the initial measurement has taken place.