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Channel

surgeon911

@nursingtonursing

2 usernames

On this record: Topic · Growth · Engagement · Reactions · Posts · Polls · Telegram's recommendations · Cite this entry

1subscribers

-8,785 since we began measuring on 12 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001419127745
TypeChannel
Usernames@nursingtonursing @surgeon911
CreatedBetween 1 April 2019 and 30 November 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded12 August 2026
Last confirmed live5 October 2026
Measurements held15
Confirmed unchanged1 time, most recently 5 October 2026
On Telegramt.me/nursingtonursing

Topic

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 11 September 2026 and assigned it the closest of 31 fixed categories, at 90% 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

18,7864,393.512 August 2026 — 8,786 subscribers13 August 2026 — 8,785 subscribers16 August 2026 — 8,768 subscribers19 August 2026 — 8,742 subscribers23 August 2026 — 8,720 subscribers26 August 2026 — 8,698 subscribers29 August 2026 — 8,683 subscribers1 September 2026 — 8,666 subscribers6 September 2026 — 8,641 subscribers11 September 2026 — 8,609 subscribers15 September 2026 — 8,582 subscribers27 September 2026 — 8,522 subscribers5 October 2026 — 8,490 subscribers5 October 2026 — 8,490 subscribers5 October 2026 — 1 subscribers12 August 20265 October 2026
15 measurements spanning 54 days, net -8,785. 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”.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
5 Oct 2026, 19:201-8,489
5 Oct 2026, 12:228,490no change
5 Oct 2026, 11:478,490-32
27 Sept 2026, 23:378,522-60
15 Sept 2026, 12:558,582-27
11 Sept 2026, 10:398,609-32
6 Sept 2026, 09:398,641-25
1 Sept 2026, 16:128,666-17
29 Aug 2026, 10:028,683-15
26 Aug 2026, 15:258,698-22
23 Aug 2026, 15:478,720-22
19 Aug 2026, 15:578,742-26
16 Aug 2026, 22:248,768-17
13 Aug 2026, 14:168,785-1
12 Aug 2026, 15:318,786first reading

Engagement

30 posts held, back to 21 February 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 16 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
54350.0%
avg views ÷ 1 subscribers
Avg views / post
544
12 posts measured
Reaction rate
0.281%
reactions ÷ views · ER floor
Posts in window
12
of 30 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 5 of 12 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 5 October 2026
Posts held30 (21 February 2026 – 5 October 2026)
Views total6,522
Reactions total10
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Oct 2026, 12:22 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.

Reaction mix

65 reactions across 20 posts, in 5 distinct kinds. The most used accounts for 67.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤4467.7%
🤔812.3%
🔥710.8%
🤝57.69%
🙏11.54%

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 20 of the 30 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 65 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 30 most recent posts we hold, published 21 February 2026 to 5 October 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.

Recent posts

3 Oct 2026, 15:27 UTC349 views2 reactionsread 5 October 2026
Photo

Why the Heimlich Maneuver Exists The need for the Heimlich maneuver is direct evidence of the anatomical absurdity of our throat. No other species requires emergency mechanical pressure on the diaphragm to push a stuck piece of food out of the airway. This vulnerability is a "bug" embedded in the structure of our skull and neck. We sacrificed the airtightness of the respiratory system for complex articulation, maki…

❤2

Signed Atul Singh 🇮🇳

3 Oct 2026, 14:45 UTC330 viewsread 5 October 2026

https://padhohamesha.blogspot.com/2026/09/bsc-nursing-1st-semester-passing-pakage.html Here is the passing package for BSc nursing 1st year students 📚👩‍⚕️

Signed Jinniii ✨

3 Oct 2026, 08:08 UTC405 views4 reactionsread 5 October 2026
Poll

Hello everyone, I am your new admin. I'm glad to be a part of this community. To provide you with the most relevant study material and updates, I would like to know which academic year you are currently in. Please reply with your year:

  1. 1st year22%
  2. 2nd year17%
  3. 3rd year17%
  4. 4th year22%
  5. Graduated22%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

❤3🙏1

Signed Jinniii ✨

3 Oct 2026, 05:31 UTC441 viewsread 5 October 2026

🚆 RRB Nursing Superintendent/Officer Form link:- • Form Date- 15.9.26 to 14.10.26 • RRB Official Website- https://rrb.indianrailways.gov.in/ • Registration Here- https://www.rrbapply.gov.in/#/auth/home • Login Here- https://www.rrbapply.gov.in/#/auth/home

Signed Manisha Singh

3 Oct 2026, 05:31 UTC422 viewsread 5 October 2026
Photo

Today is the last date for applying for pgimer chandigarh nursing officer form. Apply here - https://cdn.digialm.com/EForms/configuredHtml/2650/102253/login.html

Signed Manisha Singh

1 Oct 2026, 14:32 UTC658 views1 reactionsread 5 October 2026
File

Mental Health Nursing-I-1.pdf Thakur publication pdf.

❤1

Signed Manisha Singh

1 Oct 2026, 14:31 UTC621 viewsread 5 October 2026
File

OBG RECORD BOOK SUNITA KUMARI.pdf

Signed Manisha Singh

1 Oct 2026, 04:07 UTC721 views1 reactionsread 5 October 2026

Need admin Interested dm @thisisatulsingh

🔥1

Signed Atul Singh 🇮🇳

18 Sept 2026, 04:09 UTC≈1,420 views2 reactionsread 5 October 2026
Photo

ICMR-BHOPAL MEMORIAL HOSPITAL & RESEARCH CENTRE

🔥2

Signed Atul Singh 🇮🇳

Showing the 12 most recent of 30 posts we hold for @nursingtonursing. 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.

3 Oct 2026, 08:08 UTCAnonymous Poll23 voters

Hello everyone, I am your new admin. I'm glad to be a part of this community. To provide you with the most relevant study material and updates, I would like to know which academic year you are currently in. Please reply with your year:

  1. 1st year22%
  2. 2nd year17%
  3. 3rd year17%
  4. 4th year22%
  5. Graduated22%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

9 Jun 2026, 06:31 UTCAnonymous Poll537 voters

You're student -

  1. Diploma in Operation theatre technician14%
  2. Diploma in physiotherapy1%
  3. Diploma in CT scan4%
  4. Diploma in Dialysis technician3%
  5. Diploma in medical laboratory technician19%
  6. Diploma in optometry1%
  7. GNM12%
  8. ANM3%
  9. Bsc nursing42%

Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is 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 30 most recent posts we hold, published 21 February 2026 to 5 October 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.

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.

◉⁠‿⁠◉BSC NURSING NOTES◉⁠‿⁠◉
@ANIKETNOTES · 20,890
Telegram ranks this channel #16 of 59 here — alongside 58 others — read 25 September 2026
NURSING NOTES
@alltypetipsinkannada · 56,052
Telegram ranks this channel #20 of 71 here — alongside 70 others — read 23 August 2026
Testpaperlive Paramedical Classes
@tplparamedicalclasses · 21,850
Telegram ranks this channel #25 of 74 here — alongside 73 others — read 5 October 2026
Bsc Nursing Notes & Books
@theNurseshub · 28,307
Telegram ranks this channel #32 of 60 here — alongside 59 others — read 9 September 2026
Shakti Academy Official
@shaktiacademyofficialtelegram · 20,242
Telegram ranks this channel #36 of 52 here — alongside 51 others — read 28 September 2026
Vijay Education
@vijayeducation · 153,563
Telegram ranks this channel #38 of 74 here — alongside 73 others — read 12 August 2026
MLT Education Point
@Mlteducationpoint · 43,622
Telegram ranks this channel #50 of 73 here — alongside 72 others — read 28 August 2026
TARGET 🎯 NORCET
@norcetaiims1 · 19,827
Telegram ranks this channel #56 of 69 here — alongside 68 others — read 30 September 2026

This channel appears in 8 seed channels' Telegram-generated recommendation lists in total. 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 5 October 2026 — this entry's latest reading, not the date you are reading this.

“surgeon911” (@nursingtonursing), 1 subscribers as measured 5 October 2026. Telegram Register, tgregister.com/channel/nursingtonursing.

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.