shoaib daniyal ✓

@ShoaibDaniyal · India · joined 11 Dec 2009

political editor, @scroll_in

31 086Followers

2 215Following

9 028Posts total

63.8KViews on collected posts

Postingan terbaru

shoaib daniyal ✓@ShoaibDaniyal23 Sep

Seems like another age (tho just a little more than a decade ago) when there were celebrations around SC's NJAC strikedown. Complete chelameswar win. 856 views · 7 likes · 6 reposts · 1 replies Open on X →

shoaib daniyal ✓@ShoaibDaniyal23 Sep

SIR has seen extensive hearings in court. That it is a centralised exercise that blatantly contravenes the law is blindingly apparent. Yet the judiciary could not uphold a simple law. It took leaks from the EC itself to make it an issue. If India's courts cannot do the very 7.2K views · 268 likes · 84 reposts · 6 replies Open on X →

shoaib daniyal ✓@ShoaibDaniyal23 Sep

Judges appointing judges is a myth: Justice Dipankar Datta pulls up government for selectively clearing Collegium proposals Read here: https://t.co/gqQ3arSKkp https://t.co/G8UcNruMYM

12.5K views · 418 likes · 109 reposts · 9 replies Open on X →

shoaib daniyal ✓@ShoaibDaniyal23 Sep

signed by deputy director 🏂 1.8K views · 59 likes · 7 reposts · 1 replies Open on X →

shoaib daniyal ✓@ShoaibDaniyal23 Sep

With Election Commissioners itself(!) raising doubts about the legality of the SIR process, a reminder: The Bengal SIR deletions have a strong statistical relatonship with the Bengal results. 3.8K views · 174 likes · 88 reposts · 4 replies Open on X →

shoaib daniyal ✓@ShoaibDaniyal22 Sep

In India/South Asia, it actually depends on whether you're speaking English or not. 2.2K views · 24 likes · 1 reposts · 2 replies Open on X →

shoaib daniyal ✓@ShoaibDaniyal16 Jun

BREAKING: Seats where SIR deleted more names also tended to be those where BJP gained relative to TMC. Thorough data breakdown of the SIR and its impact on the Bengal results by academics Bhanu Joshi and Neelanjan Sircar. Notably, no such relation exists in Bihar. The data http

35.4K views · 689 likes · 345 reposts · 13 replies Open on X →

Dibandingkan akun berukuran sama

6 postingan dari 90 hari terakhir, dibandingkan dengan rentang 10K–100K pengikut. tampil jauh melampaui audiensnya sendiri, dan audiens itu merespons.

Median tayangan2 990akun ini924median untuk 10K–100K

Jangkauan, %9.62%akun ini3.62%median untuk 10K–100K

Interaksi, %4.06%akun ini1.52%median untuk 10K–100K

Metrik	Akun ini	Median untuk 10K–100K	Rasio
Median tayangan per postingan	2 990	924	3.24×
Jangkauan (tayangan ÷ pengikut)	9.62%	3.62%	2.66×
Tingkat interaksi	4.06%	1.52%	2.67×

Akun lain pada rentang ini → Bandingkan dengan akun lain → Bagaimana tolok ukur ini disusun →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

35.4K16 Jun

2.2K22 Sep

3.8K23 Sep

1.8K

12.5K

7.2K

856

Last 7 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

2.98%16 Jun

1.27%22 Sep

7.06%23 Sep

3.77%

4.35%

5.02%

1.64%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes65.1%1 639 in total

Reposts25.4%640 in total

Replies1.4%36 in total

Quotes0.9%23 in total

Bookmarks7.1%180 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

Postingan terbaru

Dibandingkan akun berukuran sama

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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