Nate Cohn

@Nate_Cohn ↗

Deleted No

Hibernated Yes

Last Checked Aug. 28, 2020

Created

Thu Jul 25 16:35:06 +0000 2019

Likes

Retweets

Source

Twitter Web App

View Raw Data

JSON Data

View on Twitter

Likely Available

Nate Cohn @Nate_Cohn

--calibration is REALLY beneficial, given systematic, multi-cycle errors in the midwest/ohio. --indeed, quinnipiac's last poll in OH was brown+17, cordray+2, and trump approval at 43/54. --trump approval is quite stable, so 8 mo doesn't worry me given other benefits — PolitiTweet.org

Posted July 25, 2019 Hibernated

Preceded By

Nate Cohn @Nate_Cohn

--the data covers many modes: online, live interview RBS+result, online+live interview RBS, in-person, and the hard results. --there is extensive analysis, including implied by your own pre-election analysis, that 2018 electorate ~ = RVs/2020 https://t.co/qHbxaVr4gm — PolitiTweet.org

Your hypothesis relies on data that's (i) 8 months old (ii) was collected mostly online (fine but not gold-standard… https://t.co/wjXcXGvJwE

Posted July 25, 2019 Hibernated

Followed By

Nate Cohn @Nate_Cohn

--indeed, potus approval is unchanged in quinnipiac's own polling of ohio--the same poll that seemed to grossly overstate dem performance there --i think 2020 match-up v approval is interesting. i'd take approval, given that we have stronger priors and seems stable — PolitiTweet.org

Posted July 25, 2019 Hibernated