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Channel
@nusing_quiz_on
On this record: Topic Β· Growth Β· Engagement Β· What this channel posts Β· Reactions Β· Posts Β· Posts recorded as deleted Β· Polls Β· Citations Β· Telegram's recommendations Β· Cite this entry
13,490subscribers
-1,078 since we began measuring on 7 August 2026
Risers and fallers across the register Β· movement among entries of 10,000β31,623.
| Telegram ID | -1001647068287 |
|---|---|
| Type | Channel |
| Username | @nusing_quiz_on |
| Description | π Welcome to NURSING QUIZ HUBπ©Ί π One Destination for All Nursing Competitive Exams π₯ AIIMS NORCET | ESIC | PGI | SGPGI | NHM | CHO | RRB | DSSSB | RPSC | NIMHANS | GMCH | CRPF | HSSC | ANM | GNM | B.Sc Nursing | M.Sc Nursing & All Nursing Exams |
| Created | Between 1 December 2021 and 30 April 2023 β estimated from Telegramβs id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 12 November 2026 |
| Measurements held | 64 |
| Confirmed unchanged | 1 time, most recently 12 November 2026 |
| On Telegram | t.me/nusing_quiz_on |
Education β a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channelβs own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 100% confidence. This is a modelβs 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 β it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Nov 2026, 09:18 | 13,490 | -2 |
| 10 Nov 2026, 10:44 | 13,492 | -13 |
| 8 Nov 2026, 21:10 | 13,505 | -22 |
| 7 Nov 2026, 11:26 | 13,527 | -11 |
| 6 Nov 2026, 10:07 | 13,538 | -3 |
| 5 Nov 2026, 07:15 | 13,541 | -11 |
| 4 Nov 2026, 03:40 | 13,552 | -8 |
| 3 Nov 2026, 06:54 | 13,560 | -7 |
| 2 Nov 2026, 10:06 | 13,567 | -1 |
| 1 Nov 2026, 13:06 | 13,568 | -12 |
| 31 Oct 2026, 13:28 | 13,580 | -13 |
| 30 Oct 2026, 13:15 | 13,593 | -4 |
| 29 Oct 2026, 12:28 | 13,597 | -18 |
| 28 Oct 2026, 08:48 | 13,615 | -11 |
| 27 Oct 2026, 08:06 | 13,626 | -12 |
| 26 Oct 2026, 09:45 | 13,638 | -5 |
| 25 Oct 2026, 09:19 | 13,643 | -7 |
| 24 Oct 2026, 10:15 | 13,650 | -3 |
| 23 Oct 2026, 12:45 | 13,653 | -14 |
| 22 Oct 2026, 11:31 | 13,667 | first reading |
83 posts held, back to 6 July 2026 β the reader has not yet reached the start of this channelβs public history, so older posts may sit further back, unread. Read across 75 pages of Telegramβs post history, 20 posts per page.
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) Γ· views β note the denominator is views, not subscribers. Telegramβs 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 34 of 35 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days Β· latest post in window 14 November 2026 |
|---|---|
| Posts held | 83 (6 July 2026 β 14 November 2026) |
| Views total | 21,060 |
| Reactions total | 559 |
| Forwards / comments | not exposed by the public surface β not measured, not estimated |
| Readings taken | 14 Nov 2026, 08:35 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 βcorrectingβ the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form β 8.12K, 3.7M β 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 β read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Lifetime counters from Telegramβs own channel header, read 14 November 2026 β not the date at the top of this page, which is when the subscriber count was last read. Below Telegramβs rounding threshold, so these counts are exact.
Measured directly from 2 videos with a duration reading, out of the posts we hold for this channel β not this channelβs 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 Telegramβs own rounded chrome, so it carries no β mark.
1,088 reactions across 82 posts, in 26 distinct kinds. The most used accounts for 46.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| β€ | 502 | 46.1% | |
| π | 245 | 22.5% | |
| π₯° | 76 | 6.99% | |
| π | 41 | 3.77% | |
| π₯ | 32 | 2.94% | |
| π | 30 | 2.76% | |
| π | 23 | 2.11% | |
| π | 16 | 1.47% | |
| π€ | 13 | 1.19% | |
| β€βπ₯ | 12 | 1.10% | |
| π― | 12 | 1.10% | |
| π | 11 | 1.01% | |
| π | 10 | 0.919% | |
| π» | 9 | 0.827% | |
| β‘ | 8 | 0.735% | |
| π | 8 | 0.735% | |
| π«‘ | 8 | 0.735% | |
| π | 7 | 0.643% | |
| π | 7 | 0.643% | |
| π€ | 7 | 0.643% | |
| 6 further kinds | 11 | 1.01% |
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 β π is thanks in one channel and mourning in another β 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 β 4.34K, 1.2M β 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 82 of the 83 sampled posts in this sample. Summed by Telegramβs own count on each post β not by adding up the per-emoji breakdown above β those same posts carry 1,088 reactions in total: the kind of figure the paragraph above means by βa reaction total printed elsewhere on the pageβ.
Measured over the 83 most recent posts we hold, published 6 July 2026 to 14 November 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.
Telegramβs own βeditedβ marker: 1 of 35 posts held from the last 30 days (2.86%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before β this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
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π² Quiz ''''''''βγπ©Ίγβ’ πππ π¨ β’ π¦ππ£ππ β’ πππ’ β’ π¦π§πππ π‘π¨π₯π¦π β’ π‘π’π₯πππ§ πβ¨π― ππ β€ @Ydv_abhi007''''''' β¨β¨ α΄α΄ΙͺΙ΄ β @nusing_quiz_on @Nursingquizgroup_1 β¨β¨ ββ¬ββ¬ββ¬ββ¬ββ¬ββ¬ββ¬β π 50 questions Β· β± 30 sec
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π’ PGI Admit Card Released! Candidates can download their PGI Admit Card from the official link given below. π Download Admit Card: https://cdn.digialm.com//EForms/configuredHtml/2650/102253/Index.html β Visit the link and download your admit card.
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Happy Diwali! May the festival of lights bring you and your loved ones endless joy, good health, and prosperity.
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πͺβ¨ HAPPY DIWALI β¨πͺ May this beautiful festival bring new beginnings, positive energy and countless reasons to smile. May your hard work shine bright and your future be filled with achievements. To all our Nursing Aspirants, keep believing in yourself, stay focused on your goals and never stop learning. Your dreams deserve your dedication! β€οΈπ Wishing you and your loved ones a joyful, peaceful and prosperous Diwaliβ¦
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π² Quiz '''''''βγπ©Ίγβ’ πππ π¨ β’ π¦ππ£ππ β’ πππ’ β’ π¦π§πππ π‘π¨π₯π¦π β’ π‘π’π₯πππ§ πβ¨π― ππ β€ @Ydv_abhi007'''''' β¨β¨ α΄α΄ΙͺΙ΄ β @nusing_quiz_on @Nursingquizgroup_1 β¨β¨ ββ¬ββ¬ββ¬ββ¬ββ¬ββ¬ββ¬β π 50 questions Β· β± 30 sec
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Bihar Vacancy Updates
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Showing the 12 most recent of 83 posts we hold for @nusing_quiz_on. 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 β was rounded by Telegram before we ever saw it β t.me prints views in full below 1,000 and to three significant figures above, so β1,200,000 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.
We recorded 1 post on @nusing_quiz_on as deleted β posts this register held that were missing from the channelβs public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channelβs public page, and when β not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
The 6 most recent of 19 polls we hold for this entry, as Telegram rendered them when we read the post. A pollβs figures keep moving after that, so each one is dated.
Increased gut motility causes what effect on drug absorption?
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
Q1. A patient with chronic kidney disease has serum potassium of 6.8 mEq/L and ECG changes. Which drug is used first to stabilize the cardiac membrane?
Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.
Q4. Which vaccine is contraindicated during pregnancy because it is a live attenuated vaccine?
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
A nurse is caring for a patient with suspected pulmonary tuberculosis. Which type of isolation is required?
Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.
A postpartum patient has persistent heavy bleeding despite a firm, contracted uterus. Which cause is most likely?
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
Q1. A patient develops sudden dyspnoea, hypotension, distended neck veins and absent breath sounds on one side after central venous catheter insertion. What should the nurse suspect?
Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.
Percentages only β there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each optionβs 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 optionβs 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 83 most recent posts we hold, published 6 July 2026 to 14 November 2026. Telegram labels each poll by kind β an anonymous poll, a quiz, a closed set of final results β and that label is reproduced rather than paraphrased.
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Named by 6 registered channels β every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched β that handle may belong to someone else now, and crediting todayβs namer to yesterdayβs owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason β naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides β the βNamed by N registered channelsβ figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
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 β 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 elseβs query is independent of having been queried itself.
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegramβs list for THAT channel, not this one β see how this is measured.
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 12 November 2026 β this entry's latest reading, not the date you are reading this.
βπππππππ ππππ πππβ (@nusing_quiz_on), 13,490 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/nusing_quiz_on.
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 Β· 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.