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
2/n: How to read the Bihar results? It was a very close contest where NDA gained massive momentum in phase 2 & 3, perhaps proof that jungle raj campaign worked. But big churning in both identity & ideology fronts, my big-picture take on the results https://m.hindustantimes.com/india-news/bihar-assembly-election-2020-how-to-read-the-bihar-results/story-7R4bxFrRhUuoHf3Mo6Tp7K.html
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
https://m.hindustantimes.com/bihar-election/bihar-assembly-election-2020-nda-s-seat-share-rose-with-every-phase/story-ZS5x063tSw75agxBU3zvlK.html
5/n: Chirag had said he is Modiji’s Hanuman. Results show he was also the Hanuman which set JD(U)’s Lanka on fire. It has won just 1 seat but played spoiler in 64 ACs, 27 of these for the JD(U), @naalmot looks at the numbers https://m.hindustantimes.com/bihar-election/ljp-biggest-x-factor-of-the-elections/story-ZuZme8FoU0SUK7GQ6FmZyH.html
6/n: Bihar assembly will have the highest number of communist MLAs since 1995. The left parties - CPI ML is the best performer - have the highest strike rate in the MGB. @naalmot story 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
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
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
8/n: While the middle-aged (in politics, not life) candidates of the NDA and the MGB performed almost at par, the MGB has a big deficit in comparison with the NDA among both older and younger candidates
@vijdankawoosa & my story https://m.hindustantimes.com/bihar-election/bihar-assembly-election-2020-results-the-age-factor-behind-grand-alliance-setback/story-npvkKIZVl4mAtPRYigZf5N.html
@vijdankawoosa & my story https://m.hindustantimes.com/bihar-election/bihar-assembly-election-2020-results-the-age-factor-behind-grand-alliance-setback/story-npvkKIZVl4mAtPRYigZf5N.html
9/n: Bihar polls were perhaps the most closely contested since 1977, @naalmot writes https://m.hindustantimes.com/bihar-election/bihar-assembly-election-2020-result-were-these-the-closest-bihar-polls-in-43-years/story-gCigf7hzSOKuqrtddFV3uN.html
10/n: Women voters might have saved the NDA but Bihar continues to disappoint when it comes to women in the assembly. @gilkumar and Samridhi Hooda use the @TCPD_Ashoka data to write for us https://m.hindustantimes.com/bihar-election/bihar-assembly-election-2020-more-women-candidates-but-fewer-winners-in-bihar-polls/story-Z46mZ5DbKvZqIWnUq7iTbJ_amp.html