Perfect 3 points. Really we should use these as invetment criteria. An obscure point on noise I have been pondering. In manufacturing we talk about the need to have the tollerance band within 3 stdev of the mean. If so the process is "Under control". What that also means is you can attribute data to cause. If Signal to Noise is low, you can not. Six sigma takes this further to say you need to be at +/- 6 stdev. I sometimes feel like I am the only person that gets this (except all the other people that have been in manufacturing). I like it as an investment filter. And as a goal. In many ways I would like Vence, Earth Optics, Tillable, Sentara and Airable (and even Benson Hill) to optimize the variance. Frankly I would like all the crop input companies to minimize the variance. And all the measurement/data companies to observe the variance and their correlation.
Perfect 3 points. Really we should use these as invetment criteria. An obscure point on noise I have been pondering. In manufacturing we talk about the need to have the tollerance band within 3 stdev of the mean. If so the process is "Under control". What that also means is you can attribute data to cause. If Signal to Noise is low, you can not. Six sigma takes this further to say you need to be at +/- 6 stdev. I sometimes feel like I am the only person that gets this (except all the other people that have been in manufacturing). I like it as an investment filter. And as a goal. In many ways I would like Vence, Earth Optics, Tillable, Sentara and Airable (and even Benson Hill) to optimize the variance. Frankly I would like all the crop input companies to minimize the variance. And all the measurement/data companies to observe the variance and their correlation.