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Channel
OBGYN Books
@ob_gyn_books
On this record: Topic · Also posting the same content · Growth · Engagement · Reactions · Posts · Citations · Cite this entry
6,559subscribers
+120 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1001909968389 |
|---|---|
| Type | Channel |
| Username | @ob_gyn_books |
| Created | Between 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 14 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/ob_gyn_books |
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 12 September 2026 and assigned it the closest of 31 fixed categories, at 93% 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.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 4 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Sept 2026, 19:19 | 6,559 | +8 |
| 13 Sept 2026, 21:59 | 6,551 | +11 |
| 10 Sept 2026, 15:17 | 6,540 | +27 |
| 5 Sept 2026, 12:36 | 6,513 | +16 |
| 1 Sept 2026, 23:08 | 6,497 | +16 |
| 29 Aug 2026, 15:53 | 6,481 | +11 |
| 27 Aug 2026, 00:19 | 6,470 | +2 |
| 24 Aug 2026, 08:55 | 6,468 | +12 |
| 20 Aug 2026, 20:53 | 6,456 | +11 |
| 17 Aug 2026, 15:54 | 6,445 | +6 |
| 14 Aug 2026, 14:57 | 6,439 | +6 |
| 10 Aug 2026, 20:58 | 6,433 | -6 |
| 7 Aug 2026, 09:30 | 6,439 | no change |
| 7 Aug 2026, 09:23 | 6,439 | first reading |
Engagement
24 posts held, back to 11 July 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 9 pages of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 24 posts for this entry, the most recent from 11 August 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
6 reactions across 6 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 6 | 100.0% |
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 7 of the 24 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 6 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 24 most recent posts we hold, published 11 July 2026 to 11 August 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
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Showing the 12 most recent of 24 posts we hold for @ob_gyn_books. 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.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
@medustudy_shop · 17,51618 postsMedical Books Pdf
@medical_free_books · 6,5052 postsPathology Books
@Pathology_books_pdf · 2,8231 postCritical care books
@critical_care_books · 3,3041 postInternal medicine Books
@internal_medicine_pdfs · 9,6011 postMedical Courses
@usmle_Medical_Shop · 3201 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
Names
Channels on the register whose handles appear in this channel's posts.
@medustudy_shop · 17,5166 postsMedustudy Samples
@Medustudy_samples · 7,9113 postsMedical Books pdf
@medical_ebook_pdfs · 19,9342 postsMedical Books Pdf
@medical_free_books · 6,5052 postsPathology Courses
@buy_pathology_videos · 3,1091 postCritical care books
@critical_care_books · 3,3041 postCritical care courses
@criticalcare_courses · 8,3881 postFamily medicine courses
@family_medicine_courses · 3,4271 postInternal medicine Books
@internal_medicine_pdfs · 9,6011 postPathology Books
@Pathology_books_pdf · 2,8231 postMedical Courses
@usmle_Medical_Shop · 3201 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.
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.
“OBGYN Books” (@ob_gyn_books), 6,559 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/ob_gyn_books.
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.