للي يحب يشترك ويخلص من هل حصرة ✌🏻

Channel
Tests Pharmacy📊
@testspharmcy
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
3,842subscribers
-19 since we began measuring on 21 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1001699282946 |
|---|---|
| Type | Channel |
| Username | @testspharmcy |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 21 August 2026 |
| Last confirmed live | 12 September 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 12 September 2026 |
| On Telegram | t.me/testspharmcy |
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 14 September 2026 and assigned it the closest of 31 fixed categories, at 39% 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 |
|---|---|---|
| 12 Sept 2026, 19:21 | 3,842 | -2 |
| 9 Sept 2026, 05:58 | 3,844 | -5 |
| 4 Sept 2026, 05:16 | 3,849 | -9 |
| 28 Aug 2026, 19:14 | 3,858 | -3 |
| 22 Aug 2026, 17:34 | 3,861 | no change |
| 21 Aug 2026, 21:30 | 3,861 | first reading |
Engagement
20 posts held, back to 27 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 1 page 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 20 posts for this entry, the most recent from 13 May 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
5 reactions across 3 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 5 | 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 5 of the 20 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 5 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 27 February 2026 to 13 May 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
الشرح ولاغلطة👏🏻👏🏻 @DrCube_Pharmacy_Registration
❤1
كود الخصم الخاص بيه #dr-phph
نماذج لمحاضرات الشورت ✅ المحاضرات المكثفة لمواد الوزاري ( للطلاب الي مقاريين المادة سابقاً ) فارما | 🔒 https://youtu.be/yRPcmm6RBMs?si=w-92snq2QbLE-kp6 تكنو | 🔒 https://youtu.be/jbseS87M8sk?si=WsTD_syGkHb0isxR 🔴🔴🔴🔴🔴🔴🔴🔴🔴🔴 للاستفسار عن التفاصيل 🔥 : @DrCube_Pharmacy_Registration
التفاصيل تجربتي صراحة المحاضرات جانت حلوة ومو مطولة. وتركز عن الاشياء المهمة الي • مِمَكِٰكـِٰטּ ۦ✿⇣ تخلي الشخص يقراها ويركز عليها ب اختصار. مسوين نوعين محاضرات نوع ال ريفيو ال هوا ملخص كلشي يخص الجابتر وزاري والثاني يخص انو الجابتر كاملة
تعرفون انو احنا منحب نسوي اعلانات اذا ردنا ننقل الكم التجربة الحقيقية الي تفيدنا شرح الكوزمتك ل دكتور كيوب جان كلش وافي اذا تحبون نوفرلكم خصم ب التعاون وياهم؟
Pharmacology 25-26 مد Mid course 2 Al-Mustansiriya university -_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_- Pharmacology channel Pharmacy غراضي
حبايب هاي اسئلة مد صيدلة مستنصرية ، ممكن تفيدكم
خوش ملازم للامانة ❤️
❤2
File, posted without a caption
❤2
File, posted without a caption
File, posted without a caption
Showing the 12 most recent of 20 posts we hold for @testspharmcy. 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.
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.
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.
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.
@panadolsz · 26,667
Telegram ranks this channel #10 of 90 here — alongside 89 others — read 12 September 2026
@pharma919 · 25,548
Telegram ranks this channel #28 of 77 here — alongside 76 others — read 14 September 2026
@saadm1999 · 25,886
Telegram ranks this channel #41 of 88 here — alongside 87 others — read 13 September 2026
@wasffati99 · 31,646
Telegram ranks this channel #63 of 84 here — alongside 83 others — read 6 September 2026
@STAFF_IQ · 30,467
Telegram ranks this channel #69 of 86 here — alongside 85 others — read 7 September 2026
@muhanad_pharma · 63,053
Telegram ranks this channel #76 of 91 here — alongside 90 others — read 21 August 2026
This channel appears in 6 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 12 September 2026 — this entry's latest reading, not the date you are reading this.
“Tests Pharmacy📊” (@testspharmcy), 3,842 subscribers as measured 12 September 2026. Telegram Register, tgregister.com/channel/testspharmcy.
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.