Subhanjan0pū 🇮🇳

2.1K posts

Subhanjan0pū 🇮🇳

Subhanjan0pū 🇮🇳

@SubhanjanBasu44

🇮🇳

เข้าร่วม Kasım 2019
377 กำลังติดตาม35 ผู้ติดตาม
ทวีตที่ปักหมุด
Subhanjan0pū 🇮🇳
Subhanjan0pū 🇮🇳@SubhanjanBasu44·
जटाटवीगलज्जलप्रवाहपावितस्थले गलेऽवलम्ब्यलम्बितां भुजङ्गतुङ्गमालिकाम्॥ डमड्डमड्डमड्डमन्निनादवड्डमर्वयं चकार चण्डताण्डवं तनोतु नः शिवः शिवम् ॥
ADG PI - INDIAN ARMY@adgpi

अविचल संकल्प, निर्णायक प्रतिकार। Unwavering Resolve, Decisive Action. #OperationSindoor #JusticeServed #IndianArmy

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DEO North 24 Parganas
DEO North 24 Parganas@DEO_N24Pgs·
Upon examination, it has been found that the VVPAT paper slips shown are related to mock poll done before poll day and are not related to the actual poll conducted on poll day. A detailed enquiry has been initiated, and a formal complaint has been lodged for verification & action
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ExtraOrdinary
ExtraOrdinary@Extreo_·
@dhruv_rathee Mai koi sapna dekh rha hu kya ? Dhruv rathee bjp ko support kr rha h …. No no no ye sach ni h
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Subhanjan0pū 🇮🇳
Subhanjan0pū 🇮🇳@SubhanjanBasu44·
@KKRWeRule bhai tbh...bjp is less likely to win...they are definitely gonna increase the tally, but may be not majority this time...
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Bhivan
Bhivan@Bhivansam·
Michael Bumbasudhan Dutta
Bhivan tweet media
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National Testing Agency
National Testing Agency@NTA_Exams·
Understanding Percentiles, Raw Marks & Normalization - Analysis of data from JEE (Main) 2026 Session 2. Across the nine shifts held between 2 and 8 April 2026, the raw marks needed to reach the 99th percentile ranged from 165 in the toughest shift to 196 in the easiest — a difference of 31 marks out of 300. At the 98th percentile, the spread was 27 marks. At the 97th, it was 26. Only two shifts produced a perfect score of 300; in another shift, 285 was enough to reach the 100th percentile, because that was the highest score any candidate achieved in that particular paper. These numbers are not an anomaly. They are an honest reflection of what happens when lakhs of candidates sit for an examination conducted across multiple shifts and multiple days. No matter how carefully our paper-setting committees work — and they work with extraordinary rigour, applying multiple layers of review and difficulty calibration — two different question papers cannot be perfectly identical in difficulty. That is a law of assessment, not a flaw in execution. Any examining body in the world that conducts a multi-shift examination confronts the same reality. This is precisely why NTA uses the percentile system. A percentile score answers a simple question: among the candidates who wrote the same paper, in the same shift, under the same conditions, what fraction did you outperform? A 99.5 percentile means you did better than 99.5% of your peers in that shift — whether the paper was tough or gentle, whether the topper scored 285 or 300. Every shift becomes a level playing field unto itself. Within that shift, the ranking is based purely on raw marks, because every candidate faced identical conditions. The question then becomes: how do we combine candidates from different shifts into a single, unified merit list? If raw marks alone were used, a student scoring 180 in a tough shift would be penalised for the luck of the draw, while another scoring 180 in an easier shift would be unduly rewarded. That outcome would be indefensible. It would mean a student's future depended on which shift they were allotted — something entirely outside their control. It would reward fortune over effort. Instead, NTA uses a statistically grounded normalization procedure. Within each shift, percentile scores are calculated. These percentiles are then merged across shifts to produce the final ranking. The method rests on a straightforward psychometric principle: equivalent relative performances across different papers should receive equivalent scores. A candidate who outperformed 99.5% of their shift deserves the same treatment as a candidate who outperformed 99.5% of another shift — regardless of the raw marks involved. This methodology is not new, not proprietary, and not experimental. It is grounded in well-established principles of educational measurement, used by major examining bodies internationally, and has been reviewed by expert committees constituted by the Ministry of Education. It is continuously refined on the basis of evidence and feedback. Transparency is not a favour we grant. It is the foundation of public trust, and public trust is the only currency a testing agency truly possesses. To the student who looks at their percentile and wonders whether it is fair — particularly when a friend in a different shift seems to have fared differently on comparable raw marks — please know this: the number in front of you is the most rigorous measure of your performance we are capable of producing. It was computed with the singular objective of ensuring that the shift you were allotted has no bearing on your rank. Your effort. Your preparation. Your performance, measured fairly against those who faced the same paper you did. That is what your percentile reflects. That is the commitment NTA makes to every candidate, every year. #JEEMain2026 #NTA #Transparency #FairAssessment #HigherEducation
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BHK🇮🇳
BHK🇮🇳@BHKslams·
Kolkata without Left and TMC.
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Subhanjan0pū 🇮🇳
Subhanjan0pū 🇮🇳@SubhanjanBasu44·
@MrSen2006 don't even say anything to them...trash-talks don't change the fact that there are many bengali proffesors and scientist in top institutes...
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Subhanjan0pū 🇮🇳
Subhanjan0pū 🇮🇳@SubhanjanBasu44·
@tanuj7sagar @Harshinfocus @NTA_Exams toughness is decided by quallity of students in this factor which should not be there...9/10 shifts affects students as questions and student dispersion is different...There should be one CBT paper, not shiftwise...
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Tanuj Kumar
Tanuj Kumar@tanuj7sagar·
@SubhanjanBasu44 @Harshinfocus @NTA_Exams If a paper is tough then it is assumed that it was tough for the whole batch. Every argument is relevant only to the respective shift which will affect all the students in that shift. This is the core principle of CBT. No wonder NEET aspirants are demanding CBT for a long time.
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Shruti Mitra
Shruti Mitra@_Shruti_Mitra_·
@bong_politics Ei shrabon bhijiye dik dirgho chhaya gulo 🙂‍↕️💀
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