Much more accurate would be to actually get real data from drivers, by giving them instructions to extract desired monthly data from the app itself showing income and hours online (I presume the driver-side apps include this data?).
In similar conversations you can encounter rhetoric about how we should tax people worth a million dollars. This logic doesn’t consider that a $million for a 40 year old dentist in rural Ohio is very different than for someone who just retired in New York. That’s all they have for the rest of their life.
Financial policy decions need to consider money in terms of cost of living and also age of the people. Especially in a world where pensions are barely a thing now. Going after numbers without context ends up attacking the middle class.
So for instance the $20 an hour would make more sense to Reason if it were restated as a multiple of minimum wage or the poverty line. Because if Ubuntu is concentrated in metropolitan areas that could mean most of their drivers are near the poverty line. Not as incendiary as $3.50/hr but still quite damning.
Also you can find me on Twitter where I have over 150 tweets about this from the weekend. Would love to hear your POV.
https://medium.com/uber-under-the-hood/an-analysis-of-ceeprs...
I'd previously read a paper by an economist using Uber pay data to analyze gender wage gaps. The numbers they had for both men and women were way higher than this study and it's usually best to trust administrative data over self reports.
https://web.stanford.edu/~diamondr/UberPayGap.pdf