1/n: The manner in which Bihar counting progressed made data crunching in time difficult. Thanks to @vijdankawoosa @naalmot & our excellent editors & designers we managed to do quite a few stories. Thread here
3/n: Women voters might have saved the NDA from what looked like a defeat initially, & they didn’t discriminate between the JD(U) & BJP. @vijdankawoosa analyses the link between gender wise voting pattern and alliance performances. https://m.hindustantimes.com/bihar-election/bihar-assembly-election-2020-how-women-steered-nda-towards-majority/story-BSLLSGsDD8SOXsml8B0iTP.html
4/n: The story of NDA’s late surge & why how the NDA achieved a counter polarisation by exploiting Tejashwi Yadav’s growing momentum by @vijdankawoosa again. Look at the phase wise maps

https://m.hindustantimes.com/bihar-election/bihar-assembly-election-2020-nda-s-seat-share-rose-with-every-phase/story-ZS5x063tSw75agxBU3zvlK.html
Did Narendra Modi save the day for the NDA? @naalmot analysed 110 ACs in districts where Modi addresses rallies. He couldn’t do much in phase 1, became more effective as polls progressed. Perhaps the Modi effect is more nuanced than we think

https://m.hindustantimes.com/bihar-election/bihar-assembly-election-2020-left-records-higher-strike-rate-than-rjd-cong-lags-in-popular-support/story-r5Qr3Oa4N2BEbsKP4gkMQO.html
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