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6acbffe Sep 11, 2018
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resist_oped

🕵🏽 ♀️ Identifying the author behind New York Time’s op-ed from inside the Trump White House.

I compared the paragraphs of the op-ed to tweets posted to timelines by members of the Cabinet. Here’s what I found:

Method

I’ve written an explanation post, which I expect to publish at TBD outlet.

Code/Estimates

See the analysis (to replicate, btw, start here as well) and visualization code.

Download the raw estimates here or view the results below:

author r
op-ed 1.000000
VP 0.801063
POTUS 0.798661
SecPompeo 0.766971
SecretaryRoss 0.737344
StateDept 0.684387
SecNielsen 0.671606
SecAzar 0.626870
BetsyDeVosED 0.548856
EPAAWheeler 0.493172
SecretaryCarson 0.489422
SecretarySonny 0.335650
stevenmnuchin1 0.190530
SecretaryAcosta 0.186096
USTradeRep 0.184084
USUN 0.179083
DeptofDefense 0.139830
CIA 0.113995
SBALinda 0.100977
nikkihaley 0.045223
CommerceGov -0.027009
OMBPress -0.036475
mike_pence -0.056347
ENERGY -0.060640
HHSGov -0.079406
SecElaineChao -0.093637
SecretaryPerry -0.099864
usedgov -0.161001
Cabinet -0.186110
SecPriceMD -0.210265
TheJusticeDept -0.223151
DHSgov -0.223711
SecShulkin -0.260545
SecretaryZinke -0.292255
USTreasury -0.341385
SBAgov -0.384094
Interior -0.432636
USDA -0.481016
EPA -0.492955
HUDgov -0.498904
USDOL -0.511604
DeptVetAffairs -0.604644
USDOT -0.792344