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Channel
FMGE Dec 2026
@Fmge_Preparation
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Polls · Citations · Handles named that no longer answer · Cite this entry
13,172subscribers
+60 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001457397670 |
|---|---|
| Type | Channel |
| Username | @Fmge_Preparation |
| Description | A Medical channel For FMGE Contact admin @murtazakuchay for any Queries/promotion/copyright issue |
| Created | 19 July 2020 — measured — cross-checked against a third-party dataset (TGDataset) |
| First recorded | 6 August 2026 |
| Last confirmed live | 5 November 2026 |
| Measurements held | 60 |
| Confirmed unchanged | 1 time, most recently 5 November 2026 |
| On Telegram | t.me/Fmge_Preparation |
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 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 the other topics.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 5 Nov 2026, 09:59 | 13,172 | -4 |
| 4 Nov 2026, 07:07 | 13,176 | +6 |
| 3 Nov 2026, 07:48 | 13,170 | -2 |
| 2 Nov 2026, 06:20 | 13,172 | +4 |
| 1 Nov 2026, 08:54 | 13,168 | +3 |
| 31 Oct 2026, 10:14 | 13,165 | -1 |
| 30 Oct 2026, 08:37 | 13,166 | +4 |
| 29 Oct 2026, 09:49 | 13,162 | +9 |
| 28 Oct 2026, 10:20 | 13,153 | -2 |
| 27 Oct 2026, 08:38 | 13,155 | +3 |
| 26 Oct 2026, 05:26 | 13,152 | +1 |
| 25 Oct 2026, 04:17 | 13,151 | +4 |
| 24 Oct 2026, 06:34 | 13,147 | -1 |
| 23 Oct 2026, 04:07 | 13,148 | +4 |
| 22 Oct 2026, 02:26 | 13,144 | +1 |
| 21 Oct 2026, 00:15 | 13,143 | +9 |
| 19 Oct 2026, 19:11 | 13,134 | +6 |
| 18 Oct 2026, 17:56 | 13,128 | +23 |
| 17 Oct 2026, 18:17 | 13,105 | +9 |
| 16 Oct 2026, 15:19 | 13,096 | first reading |
Engagement
31 posts held, back to 9 January 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 55 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 19.2%
- avg views ÷ 13,172 subscribers
- Avg views / post
- 2,530
- 3 posts measured
- Reaction rate
- 0.109%
- reactions ÷ views · ER floor
- Posts in window
- 3
- of 31 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 2 of 3 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 4 November 2026 |
|---|---|
| Posts held | 31 (9 January 2026 – 4 November 2026) |
| Views total | 7,580 |
| Reactions total | 7 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 5 Nov 2026, 18:36 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
- 127
- Videos
- 1
- Links
- 23
Lifetime counters from Telegram’s own channel header, read 5 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Reaction mix
63 reactions across 17 posts, in 6 distinct kinds. The most used accounts for 87.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 55 | 87.3% | |
| 👎 | 3 | 4.76% | |
| 😁 | 2 | 3.17% | |
| 👍 | 1 | 1.59% | |
| 👏 | 1 | 1.59% | |
| 🔥 | 1 | 1.59% |
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 21 of the 31 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 63 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 31 most recent posts we hold, published 9 January 2026 to 4 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.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 3 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — 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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FMGE Dec 2026 pinned Deleted message
Showing the 12 most recent of 31 posts we hold for @Fmge_Preparation. 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 6 most recent of 12 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.
Which can replace N20 as 02 carrier?
- A.Argon16%
- B.Xenon40%
- C.Helium36%
- D.None7%
Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.
Resorption of distal phalanx is seen in
- A.Scleroderma13%
- B.Hyperparathyroidism28%
- C.Reiter's syndrome16%
- D.All43%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Patients have precancerous lesions with abdominal swelling and inguinal nodes are seen. On examination, lymphadenopathy was found. The most probable carcinoma related to this condition will be?
- A.ca penis26%
- B.CaTestis24%
- C. ca prostate34%
- D.ca bladder15%
Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.
True regarding Bowen's disease is ?
- A.In situ BCC24%
- B.More common in dark skinned people33%
- C.HSV infection plays a role18%
- D.Chronic sun damage plays a role25%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Female patient was on lithium for bipolar disorder for 6 months.she fasted for some days due to religious condition and later presented with seizures,tremors, confusion and weakness. What investigations have to be done to diagnose her condition
- A.serum electrolytes39%
- B.serum lithium48%
- C.ECG8%
- D.MRI6%
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
Which enzyme deficiency causesLesch– Nyhan syndrome ?
- A.Hypoxanthine-guanine phosphoribosyltransferase (HGPRT)73%
- B.Xanthine oxidase13%
- C.Adenine phosphoribosyltransferase (APRT)12%
- D.AMP deaminase2%
Shares as published. 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 31 most recent posts we hold, published 9 January 2026 to 4 November 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.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
@surgeryvideos · 82,6222 postsENT Videos & books
@ENTVideos · 37,5631 postRadiology
@Radiology_videos · 49,4481 postAnesthesia
@anaesthesia_vid · 28,7271 postDermatology
@dermatology_vid · 29,3791 postInternal Medicine Videos & books
@medicinevideoss · 103,1481 postMicrobiology
@microbiology_vid · 57,9271 postOncology
@oncology_vid · 17,7191 postOphthalmology
@ophthamologyvideos · 32,5031 postOrthopaedics
@ortho_vid · 29,9131 postPaediatrics videos & books
@paedsvideos · 50,2111 postPathology videos & books
@sketchymedical · 90,6391 post
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.
Mentions
Named by 29 registered channels — 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 — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
Named by
Channels on the register whose posts name this channel's handle.
@Radiology_videos · 49,44816 postsPhysiology
@Physiology_videos · 71,39114 postsPaediatrics videos & books
@paedsvideos · 50,21112 postsPharmacology
@pharma_vid · 66,68110 postsAnatomy embryology histology videos & books
@anatomyvideoss · 91,4899 postsENT Videos & books
@ENTVideos · 37,5639 postsInternal Medicine Videos & books
@medicinevideoss · 103,1489 postsOphthalmology
@ophthamologyvideos · 32,5039 postsOrthopaedics
@ortho_vid · 29,9139 postsUsmle Step 1 , 2 & 3
@Usmlestep_1_2 · 27,6649 postsAnesthesia
@anaesthesia_vid · 28,7278 postsDermatology
@dermatology_vid · 29,3798 postsKAPLAN VIDEOS
@kaplanvideos · 93,0908 postsMicrobiology
@microbiology_vid · 57,9278 postsPATHOMA VIDEOS
@pathomaavideos · 141,8128 postsPathology videos & books
@sketchymedical · 90,6398 postsSurgery videos & books
@surgeryvideos · 82,6228 postsBiochemistry Videos & Books
@biochemistry_videos · 62,9527 postsDoctor in training
@Doctors_intraining · 12,4077 postsDr Been
@Dr_beenvideos · 11,7207 postsHistory & Physical Examination
@physicalexaminationvideos · 29,5877 postsPsychiatry
@psychiatry_vid · 23,1677 postsNEET PG 2027 | INI CET 2027 |
@Doctorusmlechannel · 76,0066 postsForensic medicine
@forensicmedicine_videos · 29,0226 posts
Names
Channels on the register whose handles appear in this channel's posts.
@Neet_SS · 38,5783 postsNEET PG 2026 Counseling
@NeetPG2026_counselling · 32,3713 postsAnesthesia
@anaesthesia_vid · 28,7272 postsAnatomy embryology histology videos & books
@anatomyvideoss · 91,4892 postsBiochemistry Videos & Books
@biochemistry_videos · 62,9522 postsCommunity Medicine
@communitymedicinevideos · 44,6482 postsDermatology
@dermatology_vid · 29,3792 postsENT Videos & books
@ENTVideos · 37,5632 postsForensic medicine
@forensicmedicine_videos · 29,0222 postsIncision
@incision_videos · 20,2012 postsMedflix 2.0- The book Store
@Medflix2_0 · 84,4932 postsInternal Medicine Videos & books
@medicinevideoss · 103,1482 postsNinja_Nerd
@ninja_nerdy · 13,1012 postsObsterics & Gynecology
@Obs_gynee · 25,6242 postsOncology
@oncology_vid · 17,7192 postsOphthalmology
@ophthamologyvideos · 32,5032 postsOrthopaedics
@ortho_vid · 29,9132 postsPharmacology
@pharma_vid · 66,6812 postsHistory & Physical Examination
@physicalexaminationvideos · 29,5872 postsPYQ Channel - NEET PG , FMGE , INICET
@PYQ_CHANNEL · 82,5022 postsRadiology
@Radiology_videos · 49,4482 postsPathology videos & books
@sketchymedical · 90,6392 postsSurgery videos & books
@surgeryvideos · 82,6222 postsUWorld 2026 USMLE
@U_World · 139,6002 posts
A mention is a weaker signal than a forward and is counted separately for that reason — 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 — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Handles this channel named that no longer answer
- Dead references
- 2
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 2
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 0
- vacant every time we have ever looked
@Fmge_Preparation named 2 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
named in 7 posts, 8 August 2026 – 19 August 2026 · confirmed gone 4 November 2026 (two independent sightings — see how we confirm a dead handle)evidenced
named in 7 posts, 8 August 2026 – 19 August 2026 · confirmed gone 3 November 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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 November 2026 — this entry's latest reading, not the date you are reading this.
“FMGE Dec 2026” (@Fmge_Preparation), 13,172 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/Fmge_Preparation.
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.