Telegram RegisterThe public register of Telegram

Channel

ᴅʀ-sᴛᴜᴅᴇɴᴛ🩺

@drstudenn

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

1,448subscribers

-2 since we began measuring on 8 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001992141418
TypeChannel
Username@drstudenn
CreatedBetween 1 October 2023 and 30 April 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live11 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 11 August 2026
On Telegramt.me/drstudenn

Growth

1,4481,4501,4498 August 2026 — 1,450 subscribers8 August 2026 — 1,450 subscribers11 August 2026 — 1,448 subscribers8 August 202611 August 2026
3 measurements spanning 4 days, net -2. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 1,448–1,450 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Aug 2026, 12:221,448-2
8 Aug 2026, 15:441,450no change
8 Aug 2026, 00:041,450first reading

Engagement

18 posts held, back to 31 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
39.4%
avg views ÷ 1,448 subscribers
Avg views / post
571
18 posts measured
Reaction rate
3.39%
reactions ÷ views · ER floor
Posts in window
18
of 18 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 16 of 18 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 August 2026
Posts held18 (31 July 20267 August 2026)
Views total10,274
Reactions total318
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 00:04 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.

Reaction mix

318 reactions across 16 posts, in 9 distinct kinds. The most used accounts for 30.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👨‍💻9830.8%
👍7924.8%
5918.6%
custom 53549891304407843274213.2%
💯154.72%
🫡113.46%
🤣82.52%
👀51.57%
🔥10.314%

Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it isTelegram’s.

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 16 of the 18 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 318reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 31 July 2026 to 7 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

7 Aug 2026, 11:44 UTC340 views20 reactionsread 8 August 2026

📍سؤال مهم جداً يسألوا عنه دكاترة الباطنية والجراحة 👨‍⚕ Causes of Abdominal Distension (12 F ) :- Fat Fluid Flatus Feces Fetus Full bladder Food intolerance Fibroid ( uterine Mass ) Functional bowel disorder Free air ( emergency ) Fracture ( pelvis ) Foreign body ᴅʀ-sᴛᴜᴅᴇɴᴛ🩺

👍116custom 53549891304407843272🔥1

7 Aug 2026, 10:13 UTC417 views6 reactionsread 8 August 2026

توفرت معي عدد إشتراكات محدود في Gemini pro لمدة سنة ونص وبسعر حلو ، المهتم يتواصل معي عبر البوت @Dr_stud10kbot

👍4👀2

7 Aug 2026, 10:10 UTC314 views7 reactionsread 8 August 2026

سلام عليكم جميعاً وجمعة مباركة 👀👨‍⚕

3custom 53549891304407843273🫡1

6 Aug 2026, 16:45 UTC436 views14 reactionsread 8 August 2026
Photo

مقطع عمرك مابتندم إنك شاهدته رابط المقطع :[ اضغط هنا ] ᴅʀ-sᴛᴜᴅᴇɴᴛ🩺

9👍5

6 Aug 2026, 15:34 UTC455 views7 reactionsread 8 August 2026

ياسلام عليكم ، وهو حالياً يعتبر أفضل من PPI بكثير لأن آلية العمل تبعه مختلفة عن طريق Potassium-Competitive Acid Blockers (P-CABs( واللي يميزه عن PPI : ✅ يبدأ مفعوله أسرع. ✅ يثبط إفراز حمض المعدة بقوة أكبر ولمدة أطول. ✅ لا يحتاج إلى تناوله قبل الوجبات. ✅ ليس له أي اضرار جانبية ᴅʀ-sᴛᴜᴅᴇɴᴛ🩺

💯7

6 Aug 2026, 15:00 UTC446 views3 reactionsread 8 August 2026

سلااام ياجماعة 👨‍⚕ من منكم سمع ب Vonoprazan 👀 @Dr_stud10kbot

👨‍💻3

5 Aug 2026, 19:46 UTC571 views10 reactionsread 8 August 2026

ما هو Perplexity AI ؟ ولماذا يتحدث عنه الجميع؟ 🤖 إذا سمعت باسم Perplexity AI لأول مرة، فتخيل أنه يجمع بين محرك بحث مثل Google ومساعد ذكي مثل ChatGPT في مكان واحد. -لكن ما الفرق؟ عندما تبحث في Google، تحصل على عشرات الروابط ثم تبدأ بفتحها واحداً تلو الآخر حتى تجد الإجابة التي تريدها. أما في Perplexity AI، فأنت تكتب سؤالك مباشرة، وهو يقوم بالبحث في الإنترنت، ثم يقرأ المعلومات من عدة مصادر ويقدم لك إجابة واحدة واضحة ومن

👍7💯21

5 Aug 2026, 16:53 UTC486 views2 reactionsread 8 August 2026

للمشتركين الجدد ، هذا المنشور فيه كل ماتحتاجوه عن برنامج Notebook LM

2

5 Aug 2026, 16:50 UTC493 views44 reactionsread 8 August 2026

تحبوا يكون المنشور القادم عن : 1-برنامج ذكاء إصطناعي مفيد جداً =⚡️ 2-قائمة بأفضل قنوات اليوتيوب لطلاب الطب والتخصصات الطبية= 👨‍💻 --

custom 535498913044078432727👨‍💻16👍1

5 Aug 2026, 16:34 UTC473 views19 reactionsread 8 August 2026

سلاااااام ياقوم 👀

🫡104custom 53549891304407843274👀1

Showing the 12 most recent of 18 posts we hold for @drstudenn. 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.

Citation-graph rank

Citation-graph rank — 242,310 of 1,160,990entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

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 1 registered channel — 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.

Named by

Channels on the register whose posts name this channel's handle.

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 11 August 2026 — this entry's latest reading, not the date you are reading this.

“ᴅʀ-sᴛᴜᴅᴇɴᴛ🩺” (@drstudenn), 1,448 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/drstudenn.

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.