Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 100% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
32 measurements spanning 41 days, net +4,107. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 57,709–63,100 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)
Subscribers
Change
17 Sept 2026, 15:22
62,438
-7
15 Sept 2026, 16:57
62,445
+1
14 Sept 2026, 00:20
62,444
-34
12 Sept 2026, 07:40
62,478
+11
10 Sept 2026, 03:18
62,467
+691
6 Sept 2026, 18:54
61,776
+170
4 Sept 2026, 04:38
61,606
+50
2 Sept 2026, 16:37
61,556
+87
1 Sept 2026, 15:47
61,469
+199
31 Aug 2026, 12:45
61,270
-105
30 Aug 2026, 13:44
61,375
+45
29 Aug 2026, 12:55
61,330
+39
28 Aug 2026, 15:22
61,291
+70
27 Aug 2026, 16:04
61,221
+46
26 Aug 2026, 14:34
61,175
+40
25 Aug 2026, 17:45
61,135
+32
24 Aug 2026, 19:55
61,103
+145
23 Aug 2026, 07:18
60,958
+185
21 Aug 2026, 20:06
60,773
+108
20 Aug 2026, 13:54
60,665
first reading
Engagement
327 posts held, back to 5 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 102 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
10.8%
avg views ÷ 62,438 subscribers
Avg views / post
6,730
117 posts measured
Reaction rate
0.281%
reactions ÷ views · ER floor
Posts in window
124
of 327 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 97 of 117 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 25 September 2026
Posts held
327 (5 August 2026 – 25 September 2026)
Views total
787,940
Reactions total
1,928
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
25 Sept 2026, 15:10 UTC
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
Photos
≈1,480
Videos
≈44
Links
≈826
Lifetime counters from Telegram’s own channel header, read 25 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
10m 54s
Average length
1m 22s
Measured directly from 8 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
5,129 reactions across 239 posts, in 6 distinct kinds. The most used accounts for 85.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
4,388
85.6%
🔥
388
7.56%
👏
170
3.31%
🤩
112
2.18%
👍
69
1.35%
🫡
2
0.039%
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 259 of the 327 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 5,129 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 327 most recent posts we hold, published 5 August 2026 to 25 September 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
I was standing in front of the coffee shop, crying.
I was a senior resident in General Medicine at one of the medical colleges. It was my duty day. I had just finished my ICU work and stepped out for a coffee. That's when the results came.
I had not cleared the AIIMS Delhi DM Nephrology interview.
I had done well in the theory, and I was really hoping to clear the interview too. But it didn't happen.
Not clearing…
Majority of our students have cracked it in first attempt in few focus months of preparation . Such a great feat . And all of them repeatedly tell 2 things - Concepts and Consistency 😊
Hello everyone! Many of you have been messaging me about how to prepare for INI-CET in this one month and whether you should join our ongoing FINAL AID batch.
I understand that joining a batch midway and catching up can feel overwhelming. So, I’m planning a dedicated one-month intensive INI-CET batch, with a fresh schedule you can follow from Day 1.
The plan will include:
☑ Last 10 years’ PYQs
☑ Daily subject-wise…
Link on how it works 👇
https://youtu.be/kcxJX3zpzsw?si=5qjOYrXXbCFw_KFR
Link for FINAL AID + GFR INICET WITH RR 👇
https://suzojp.courses.store/895521?utm_source%3Dother%26utm_medium%3Dtutor-course-referral%26utm_campaign%3Dcourse-overview-webapp
Link for FINAL AID + GFR INICET WITHOUT RR 👇
https://suzojp.courses.store/895522?utm_source%3Dother%26utm_medium%3Dtutor-course-referral%26utm_campaign%3Dcourse-overview…
This is from FINAL AID INI-CET + GFR FOR NOV INICET includes:
✅ 4 revisions, including 2 in a spaced-repetition pattern
✅ Daily primary and spaced-repetition targets
✅ WhatsApp consistency checklist
✅ Last 10 years of INI-CET and NEET PG PYQs with solutions
✅ Top 200 predicted INI-CET topics
✅ Daily Test & Discussion
✅ GT with complete discussion
✅ Extra focus on Anatomy, Pathology, Microbiology and Pharmacology
✅ I…
Showing the 12 most recent of 327 posts we hold for @Drgangamed. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Polls
The 2 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
The shares total 102%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 327 most recent posts we hold, published 5 August 2026 to 25 September 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Channel : Dr. Nikita Nanwani @drnikitarwm · 83,596#1
Read from Telegram’s recommendation API, most recently 26 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
Doctor_Priyesh NEET PG EDUCATOR @Drpriyeshorthobioc · 65,232 Telegram ranks this channel #1 of 53 here — alongside 52 others — read 26 August 2026
PYQ Channel - NEET PG , FMGE , INICET @PYQ_CHANNEL · 81,366 Telegram ranks this channel #3 of 47 here — alongside 46 others — read 4 September 2026
PSMSID AGONY AUNT @PSMSID · 27,892 Telegram ranks this channel #5 of 60 here — alongside 59 others — read 10 September 2026
MRCP Up To Date @DrThobanMohammed · 63,297 Telegram ranks this channel #5 of 77 here — alongside 76 others — read 28 August 2026
OBGYN with Dr Deepti Bahl @obgynwithDrDeepti · 75,489 Telegram ranks this channel #5 of 66 here — alongside 65 others — read 26 August 2026
Dr. Zainab Vora Channel @zainabvorachannel · 117,186 Telegram ranks this channel #5 of 55 here — alongside 54 others — read 26 August 2026
One_stop_medico✨ @one_stop_medico · 66,493 Telegram ranks this channel #8 of 55 here — alongside 54 others — read 26 August 2026
Channel : Dr. Nikita Nanwani @drnikitarwm · 83,596 Telegram ranks this channel #10 of 62 here — alongside 61 others — read 26 August 2026
MBBS Materials by Dr MediRobot @mbbsmaterials · 67,343 Telegram ranks this channel #13 of 64 here — alongside 63 others — read 26 August 2026
DBMCI Official @DBMCIOfficialChannel · 44,409 Telegram ranks this channel #28 of 77 here — alongside 76 others — read 28 August 2026
DAMS OFFICIAL @damsdelhiofficial · 58,981 Telegram ranks this channel #29 of 65 here — alongside 64 others — read 26 August 2026
NEET PG COUNSELLING CHANNEL 2025-2026 (XEN MENTORS) @NEETPGCounsellingChannel · 21,595 Telegram ranks this channel #37 of 65 here — alongside 64 others — read 23 September 2026
Radiology Unplugged Dr Sumer Sethi @RadiologywithSumer · 34,744 Telegram ranks this channel #43 of 66 here — alongside 65 others — read 3 September 2026
This channel appears in 14 seed channels' Telegram-generated recommendation lists in total, of which the 13 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“Dr Ganga’s_Master Medicine” (@Drgangamed), 62,438 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/Drgangamed.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.