This past week, the visit by Zach Berta-Thompson (MIT) got me thinking about possible imaging surveys with non-uniform exposure times. In principle, at fixed bandwidth, there might be far more information in a survey with jittered exposure times than in a survey with uniform exposure times. In the context of LSST I have been thinking about this in terms of saturation, calibration, systematics monitoring, dynamic range, and point-spread function. However, in the context of TESS the question is all about frequency content in the data: Can we do asteroseismology at frequencies way higher than the inverse mean exposure time if the exposure times are varied properly? This weekend I started writing some code to play in this sandbox, that is, to simulate TESS data but with randomized exposure times (though identical total data output).