resist_oped
๐ต๐ฝ
I compared the paragraphs of the op-ed to tweets posted to timelines by members of the Cabinet. Hereโs what I found:
Method
Iโve 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 |