@MITelectionlab out w a study that supports my research. Verifies turnout was THE story of the 2018 midterms, & it will be THE story of the 2020 cycle. The reason my forecasting model worked, months B4 ED was that it was turnout-based, & turnout surged. medium.com/mit-election-l… 
As I predicted the electorate was more Dem than the '10 & '14 midterms, offsetting the HUGE advantages Rs had in the swing districts. This, combined w TO surges of DIFFERENT Is, altered the composition of these districts, & the secret to keeping them D is via strong turnout of ⬇️
My own analysis, being expanded to included GA, TX, & FL (currently has VA & CA) shows, via actual voter file data how this impacts the composition of the voter pool, ESP the D to R ratio. Compare CA 45, @RepKatiePorter's district, 2014 to 2018. She won bc of turnout of Ds & Is.
I am working hard on the analysis and waiting on the final data but hope to be able to finalize it and get it out soon. However, I'm glad now that I waited bc this @MITelectionlab analysis will make a great citation for it.
