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Channel
Obsterics & Gynecology
@Obs_gynee
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Polls · Citations · Telegram's recommendations · Cite this entry
24,977subscribers
+209 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 | -1001969050847 |
|---|---|
| Type | Channel |
| Username | @Obs_gynee |
| Description | Contact admin @murtazakuchay for any Queries/promotion/copyright issue |
| Created | Between 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 26 September 2026 |
| Measurements held | 35 |
| Confirmed unchanged | 1 time, most recently 26 September 2026 |
| On Telegram | t.me/Obs_gynee |
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 10 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 26 Sept 2026, 16:02 | 24,977 | +16 |
| 19 Sept 2026, 14:20 | 24,961 | +6 |
| 17 Sept 2026, 04:37 | 24,955 | +11 |
| 15 Sept 2026, 08:20 | 24,944 | +2 |
| 13 Sept 2026, 20:01 | 24,942 | -14 |
| 12 Sept 2026, 00:37 | 24,956 | -7 |
| 9 Sept 2026, 17:41 | 24,963 | -14 |
| 6 Sept 2026, 12:58 | 24,977 | +1 |
| 4 Sept 2026, 07:00 | 24,976 | +3 |
| 2 Sept 2026, 18:16 | 24,973 | +3 |
| 1 Sept 2026, 19:45 | 24,970 | +1 |
| 30 Aug 2026, 15:18 | 24,969 | +4 |
| 29 Aug 2026, 12:18 | 24,965 | +4 |
| 28 Aug 2026, 15:53 | 24,961 | +7 |
| 27 Aug 2026, 15:42 | 24,954 | +5 |
| 26 Aug 2026, 17:54 | 24,949 | -4 |
| 25 Aug 2026, 20:23 | 24,953 | +2 |
| 24 Aug 2026, 20:55 | 24,951 | +9 |
| 23 Aug 2026, 09:03 | 24,942 | +10 |
| 21 Aug 2026, 17:26 | 24,932 | first reading |
Engagement
41 posts held, back to 8 June 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 61 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 12.1%
- avg views ÷ 24,977 subscribers
- Avg views / post
- 3,010
- 13 posts measured
- Reaction rate
- 0.104%
- reactions ÷ views · ER floor
- Posts in window
- 13
- of 41 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 12 of 13 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 26 September 2026 |
|---|---|
| Posts held | 41 (8 June 2026 – 26 September 2026) |
| Views total | 39,144 |
| Reactions total | 40 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 27 Sept 2026, 11:24 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
- 11
- Links
- 30
Lifetime counters from Telegram’s own channel header, read 27 September 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
164 reactions across 32 posts, in 7 distinct kinds. The most used accounts for 82.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 135 | 82.3% | |
| 👍 | 9 | 5.49% | |
| 🤔 | 7 | 4.27% | |
| 🤣 | 5 | 3.05% | |
| 🤗 | 4 | 2.44% | |
| 🕊 | 3 | 1.83% | |
| 🥰 | 1 | 0.61% |
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 38 of the 41 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 168 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 41 most recent posts we hold, published 8 June 2026 to 26 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.
Recent posts
Correct Answer - C CO2 CO, is the gas used to create pneumoperitoneum during laparoscopy. Other option is - N20: But it is expensive, less soluble in blood and supports combustion. Also know: Instrument used for creating pneumoperitoneum is veress needle. Flow Rate of CO, for creating pneumoperitoneum 200 - 2000 ml/min & pressure between 15 - 25 mm of Hg.
❤6
Posted without readable text
❤5
Correct Answer - B Answer - B - Congenital Adrenal Hyperplasia: This is the most common cause of androgenic excess in fetuses with female pseudohermaphroditism. The hyperplastic glands synthesize defective enzymes that cause impaired cortisol synthesis. This leads to excessive pituitary ACTH the secretion of the fetal adrenal glands with secretion of large amounts of cortisol precursors, including androgenic prehormo…
❤7
Which condition is associated with Congenital adrenal hypoplasia?
- A. Male pseudohermaphroditism25%
- B.Female pseudohermaphroditism52%
- C.True pseudohermaphroditism16%
- D.Sequential pseudohermaphroditism7%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
❤2
Correct Answer - C CO2 CO, is the gas used to create pneumoperitoneum during laparoscopy. Other option is - N20: But it is expensive, less soluble in blood and supports combustion. Also know: Instrument used for creating pneumoperitoneum is veress needle. Flow Rate of CO, for creating pneumoperitoneum 200 - 2000 ml/min & pressure between 15 - 25 mm of Hg.
Posted without readable text
👍6
Correct Answer - A 2% The risk of lower segment scar - rupture is low (0-2-1:5%) and even if it does occur, maternal death is much less and the perinatal mortality is about 1 in 8.
❤1
Posted without readable text
❤3
Correct Answer - B According to FIGO classification, cervical intraepithelial neoplasia 3 (CIN 3) belong to stage 0. Loop electrocautery excision procedure done under colposcopic visualization is the mode of treatment for CIN II and CIN III lesions. Ref: Novak's, 14th Edition, Page 582, 583; William's Gynoecology, 1st Edition, Page 635; COGDT, 10th Edition, Pages 841, 837; Dewhurst's, 6th Edition, Pages 575, 574.
Posted without readable text
🤗4❤1
NEET PG 2026 RECALL will be updated in @doctorusmle group in a while Join @doctorusmle for recall discussion #NEETPG26recall
❤1
Showing the 12 most recent of 41 posts we hold for @Obs_gynee. 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 3 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 condition is associated with Congenital adrenal hypoplasia?
- A. Male pseudohermaphroditism25%
- B.Female pseudohermaphroditism52%
- C.True pseudohermaphroditism16%
- D.Sequential pseudohermaphroditism7%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
13 yr old child visit gynaecology OPD with a complaint of not attaining menarche with karyotype 46XX. On examination, clitoromegaly is seen. Which enzyme is most likely to be deficient in the above condition?
- A. 21 alpha-hydroxylase63%
- B.11 beta-hydroxylase11%
- C.17 alpha-hydroxylase17%
- D. 3 beta-hydroxysteroid dehydrogenase9%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
13 yr old child visit gynaecology OPD with a complaint of not attaining menarche with karyotype 46XX. On examination, clitoromegaly is seen. Which enzyme is most likely to be deficient in the above condition?
- A. 21 alpha-hydroxylase61%
- B.11 beta-hydroxylase10%
- C.17 alpha-hydroxylase20%
- D. 3 beta-hydroxysteroid dehydrogenase9%
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 41 most recent posts we hold, published 8 June 2026 to 26 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.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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.
@Doctors_intraining · 12,5017 postsFMGE Dec 2026
@Fmge_Preparation · 13,0587 postsDr Been
@Dr_beenvideos · 11,5446 postsPhysiology
@Physiology_videos · 71,2726 postsAnatomy embryology histology videos & books
@anatomyvideoss · 90,5135 postsInternal Medicine Videos & books
@medicinevideoss · 102,9915 postsOphthalmology
@ophthamologyvideos · 31,9145 postsOrthopaedics
@ortho_vid · 29,7645 postsHistory & Physical Examination
@physicalexaminationvideos · 25,1085 postsRadiology
@Radiology_videos · 49,4605 postsPathology videos & books
@sketchymedical · 90,0925 postsSurgery videos & books
@surgeryvideos · 82,4905 postsAnesthesia
@anaesthesia_vid · 28,6194 postsBiochemistry Videos & Books
@biochemistry_videos · 62,6964 postsNEET PG 2026 | INI CET 2026 |
@Doctorusmlechannel · 77,0864 postsENT Videos & books
@ENTVideos · 36,7494 postsForensic medicine
@forensicmedicine_videos · 28,5124 postsIncision
@incision_videos · 19,7004 postsOsmosis Videos
@Medical_osmosis · 21,0954 postsOncology
@oncology_vid · 17,4794 postsPaediatrics videos & books
@paedsvideos · 50,1524 postsPATHOMA VIDEOS
@pathomaavideos · 140,3394 postsPharmacology
@pharma_vid · 66,0654 postsPsychiatry
@psychiatry_vid · 22,9424 posts
Names
Channels on the register whose handles appear in this channel's posts.
@anatomyvideoss · 90,5131 postBiochemistry Videos & Books
@biochemistry_videos · 62,6961 postCommunity Medicine
@communitymedicinevideos · 42,7141 postDermatology
@dermatology_vid · 29,3331 postDr Been
@Dr_beenvideos · 11,5441 postFMGE Dec 2026
@Fmge_Preparation · 13,0581 postForensic medicine
@forensicmedicine_videos · 28,5121 postZen Chocolate 2.0
@goljan_audioss · 9,0181 postIncision
@incision_videos · 19,7001 postKAPLAN VIDEOS
@kaplanvideos · 93,3551 postOsmosis Videos
@Medical_osmosis · 21,0951 postInternal Medicine Videos & books
@medicinevideoss · 102,9911 postMicrobiology
@microbiology_vid · 57,4161 postOncology
@oncology_vid · 17,4791 postOphthalmology
@ophthamologyvideos · 31,9141 postOrthopaedics
@ortho_vid · 29,7641 postPaediatrics videos & books
@paedsvideos · 50,1521 postPATHOMA VIDEOS
@pathomaavideos · 140,3391 postPharmacology
@pharma_vid · 66,0651 postHistory & Physical Examination
@physicalexaminationvideos · 25,1081 postPsychiatry
@psychiatry_vid · 22,9421 postRadiology
@Radiology_videos · 49,4601 postPathology videos & books
@sketchymedical · 90,0921 postUsmle Step 1 , 2 & 3
@Usmlestep_1_2 · 27,7191 post
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.
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.
@Plab_MRcp_prep · 4,667#1
@ent_books_pdfs · 10,223#2
@Gyncology_3rd_B · 2,152#3
@mMedicalGarage · 1,362#4
@dermatologybydrmanishsoni · 4,067#5
@aim4pgfmt · 2,153#6
@Updates_in_GP · 2,079#7
@learnultrasoundinitiative · 2,058#8
@NEETPGModules · 2,375#9
@aim4pgmicrobiology · 3,912#10
@Oncology_Updates · 1,504#11
@osmosis_mogahed772 · 67,993#12
@NinjaNerdVideosFree · 16,415#13
@microbiology_mbbs_notes · 10,696#14
@Updates_in_Medicine · 48,203#15
@Drgangamed · 62,268#16
@Drpriyeshorthobioc · 65,524#17
@Radiology_videos · 49,460#18
@Clinical_approach_diagnosis · 1,560#19
@SurgeryZMS · 8,789#20
@supermedicine · 979#21
@obs_gyn22 · 5,888#22
@pediatricsfinalrevision · 7,693#23
@Pediatric_3B · 2,349#24
@Drshalimasentnotes · 5,623#25
@oettrainingmaterial · 2,341#26
@haryanamo · 1,655#27
@Precise_Ent · 3,710#28
@Drakbarnejad1 · 4,203#29
@OET_ForDoctors · 8,915#30
@apnaNEETPG · 821 (as read 26 September 2026)#31
@entearnosethroatbooks · 11,485#32
@pediatric21UMAS · 2,148#33
@senior0_0in · 2,416#34
@cerebellumacademynotespdf · 20,569#35
@dermatology_books_pdfs · 14,923#36
@hist_first · 21,099#37
@Public_Health_Updates · 2,813#38
@Opthalmology_Videos · 14,629#39
@Geriatric_Medicine · 2,071#40
@USMLEDITKI · 15,425#41
@Endocrine_ATM · 4,283#42
@CriticalCareUpdates · 20,007#43
@Aseel_Al_Humidi · 11,005#44
@MedicalNewsUpdates · 6,808#45
@microghg · 11,811#46
@allnutritionbooks · 9,802#47
@intmed_tash · 5,129#48
@jPsychiatrie · 1,871#49
@internalmedicine36 · 1,042#50
@manchestersiitiGoolii · 27,732#51
@litvinenko_obstetrics · 809#52
@publichealth_ebooks · 6,549#53
@JJUSUINFO · 1,282#54
@MORajasthan · 4,818#55
@whatsyourulammesshall · 2,666#56
@MamaQadiijo · 1,976#57
@booksnutrition · 7,736#58
@Encounters_Film · 337#59
@atlasofdermathology · 23,368#60
@pharmacology_test · 3,278#61
@CXRcases · 11,973#62
@MDmedicinesimple · 1,759#63
@hpssc · 3,392#64
@ABDII_SABAA · 598,623#65
@internal_medicine37A · 1,503#66
@Ultrasound4D · 2,291#67
@BurqaaIspoortii · 193,239#68
@HPPSC · 8,405#69
@MSK_learning · 5,724#70
Read from Telegram’s recommendation API, most recently 26 September 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.
@manchestersiitiGoolii · 27,732
Telegram ranks this channel #41 of 56 here — alongside 55 others — read 26 September 2026
@atlasofdermathology · 23,368
Telegram ranks this channel #66 of 81 here — alongside 80 others — read 26 September 2026
This channel appears in 2 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 26 September 2026 — this entry's latest reading, not the date you are reading this.
“Obsterics & Gynecology” (@Obs_gynee), 24,977 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/Obs_gynee.
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.