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Sharing snippets of @htTweets data coverage of the #2019ElectionResults edition.
This has been a team effort along with @naalmot @vijdankawoosa & our excellent editorial & graphic support. (1/n)
This has been a team effort along with @naalmot @vijdankawoosa & our excellent editorial & graphic support. (1/n)
3 factors explain the BJP victory: consolidation in strongholds, flexibility with alliance partners & exploiting anti incumbency in states where BJP is not a dominant force (2/n) 
Decoding the 2019 verdict into 10 data points: from did rural distress matter to how important are NDA allies this time (3/n)
Where we try and quantify the Modi wave by looking at the differential in BJP’s vote share when the vote was or want for making Narendra Modi the PM (4/n)
What the SP-BSP took away in terms of seats from the BJP West Bengal more than compensated. Even in UP the BJP is more popular than it was in 2014 or 2017 (5/n)
The mahagathbandhan on the other hand lost its combined vote share compared to 2014. There is also a sub-regional divide in the BJP’s performance (6/n)
TMC increased its vote share between 2014 & 2019 yet suffered a big dent in seats. Reasons: its vote share increase is skewed and not uniform (7/n)
Maharashtra results in 2019 are a repeat of 2014 & therefore more bad news for the congress than the NCP (8/n)
NDA has created history in Bihar with a 50% plus vote share, decimating the opposition in terms of seats (9/n)
We’ve got more things to say but the edition had to go to press. Will be back on this thread & add more stuff tomorrow 🙂 (10/n)
