التخفيص ينتهي الساعة 12 ونص.

Channel
لابكوت | Labcoat.
@Labcoat88
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Cite this entry
13,193subscribers
+2,092 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 | -1001924376485 |
|---|---|
| Type | Channel |
| Username | @Labcoat88 |
| 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 | 17 September 2026 |
| Measurements held | 34 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/Labcoat88 |
Topic
Ecommerce storefront — 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 97% 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 |
|---|---|---|
| 17 Sept 2026, 20:37 | 13,193 | +7 |
| 15 Sept 2026, 18:57 | 13,186 | -7 |
| 14 Sept 2026, 05:18 | 13,193 | +2 |
| 12 Sept 2026, 14:18 | 13,191 | -22 |
| 10 Sept 2026, 12:56 | 13,213 | +16 |
| 7 Sept 2026, 05:59 | 13,197 | +10 |
| 4 Sept 2026, 13:01 | 13,187 | +127 |
| 2 Sept 2026, 21:43 | 13,060 | +428 |
| 1 Sept 2026, 18:55 | 12,632 | +358 |
| 31 Aug 2026, 19:05 | 12,274 | +30 |
| 30 Aug 2026, 19:24 | 12,244 | +35 |
| 29 Aug 2026, 22:46 | 12,209 | +8 |
| 28 Aug 2026, 20:56 | 12,201 | +5 |
| 27 Aug 2026, 19:43 | 12,196 | +17 |
| 26 Aug 2026, 20:44 | 12,179 | +33 |
| 25 Aug 2026, 19:35 | 12,146 | +12 |
| 24 Aug 2026, 22:24 | 12,134 | +110 |
| 23 Aug 2026, 06:13 | 12,024 | -13 |
| 21 Aug 2026, 15:56 | 12,037 | -6 |
| 20 Aug 2026, 13:43 | 12,043 | first reading |
Engagement
189 posts held, back to 3 August 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 57 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 17.6%
- avg views ÷ 13,193 subscribers
- Avg views / post
- 2,320
- 39 posts measured
- Reaction rate
- 0.884%
- reactions ÷ views · ER floor
- Posts in window
- 40
- of 189 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 37 of 39 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 2 September 2026 |
|---|---|
| Posts held | 189 (3 August 2026 – 2 September 2026) |
| Views total | 90,410 |
| Reactions total | 781 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 2 Sept 2026, 21:24 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
- Video runtime
- 1m 01s
- Average length
- 20s
Measured directly from 3 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
3,777 reactions across 164 posts, in 18 distinct kinds. The most used accounts for 39.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1,472 | 39.0% | |
| 👍 | 1,154 | 30.6% | |
| 💔 | 278 | 7.36% | |
| 👏 | 194 | 5.14% | |
| 🔥 | 194 | 5.14% | |
| 😢 | 151 | 4.00% | |
| 🌚 | 150 | 3.97% | |
| 💯 | 83 | 2.20% | |
| 🆒 | 16 | 0.424% | |
| 🎉 | 16 | 0.424% | |
| ❤🔥 | 15 | 0.397% | |
| 🥰 | 15 | 0.397% | |
| 👌 | 12 | 0.318% | |
| 💘 | 7 | 0.185% | |
| 🤩 | 7 | 0.185% | |
| 😍 | 6 | 0.159% | |
| 🙏 | 4 | 0.106% | |
| 🤝 | 3 | 0.079% |
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 179 of the 189 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 4,125 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 189 most recent posts we hold, published 3 August 2026 to 2 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.
Telegram Stars
- Stars received
- 9
- across the posts below
- Posts paid on
- 7
- of 186 we hold a reading for · 4%
- Most on one post
- 3
- single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @Labcoat88. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 189 most recent posts we hold for this entry, published 3 August 2026 to 2 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Recent posts
لا تنسوا التخفيض من أجل تفريج كربة.
❤11🌚8👍3💔1
حالة P. versicolor النخالة المبرقشة عندنا يغلطوا ويقولوا بهاق بالرغم انه مختلف عنه العلاج : Ketoral shampoo ثلاث مرات بالأسبوع يوضع على الأماكن المصابة لمدة 5 إلى 10 دقائق ثم يغتسل Turbine cream مرتين يوميا لمدة اسبوعين أو ممكن ketoconazole cream مرة إلى مرتين يوميا.
👍8👏1
المهم من فرج عن مؤمن كربة من كرب الدنيا، فرج الله عنه كربة من كرب يوم القيامة وهذه حالة ناس محتاجين جدا ولازم نتساعد معاهم وتم تخفيض رسوم الدورة لـ 500 ريال لصالح هذه الحالة فالذي يشتي يشترك بالدورة يسدد 500 ريال ويكلمني عشان ارسله رابط القناة الخاصة بدورة الفحوصات الشاملة. @MbnHuda1
💔11❤6🔥6👍2🥰2
مساء الخير انتهى الوقت للحصول على الرابط الخاص واتمنى ممن حصلوا على الرابط الاسراع بجمع العدد المطلوب للاشتراك في الدورة التدريبية بالفحوصات الشاملة.
👍6🌚3
تنويه للجميع : ينتهي طلب الرابط الخاص للاشتراك في الدورة التدريبية الساعة 7 المساء.
💔12❤4🌚1
جاءت حالة قالت انها تطرش دم الدكتور في الطوارئ على طول بدون هستوري او اي شي كتب فحوصات وادوية أنا قلت اشل هستوري مع الهستوري والتأكد عرفت انه مش طرش دم انه سعلة دم وطبيعي في البداية مع السعلة الدم ربما يبتلع المريض كمية من الدم ويخرج على شكل طرش فيقول طرش دم لكن فيما بعد قالت انه كانت تسعل يعني مع السعلة الدم فادركت هنا أن الموضوع كحة دم وليس طرش علما أنها في العشرينات هنا نضع عدة احتمالات او تشخيصات تفريقية منها Acu…
👍31❤18
دورة الفحوصات الشاملة شراح كامل وهناك المزيد من الشرح والفهم للمزيد من الفحوصات المهمة.
👍9
بشكل عام - ABCD ولازم اول ما يوصل المريض تسمم بـ BB ECG ونشوف الـ Pulse والضغط - NS + NGT for Gastric lavage - Eucarbon - Dextrose 5% - Pantoprazol 40mg infusion - Secret gel 2stat - Paracetamol 1g infusion - Glucagon - Atropine - Sodium biccarbonate مراقبة الـ pulse والسكر وتخطيط قلب ECG إذا الكمية كبيرة والمريض unstable كل نص ساعة او ساعة وإذا المريض stable كل ساعتين.
👍10
هذا الطفل تناول كمية كبيرة من الـ carvidolol ايش نسوي له بالطوارئ؟ @MMGh7_bot
😢5❤1🌚1💔1
صباح الخير بقي 7 مقاعد مجانية فقط سارع بطلب الرابط لتحصل على مقعد مجاني.
❤11🌚2
تستمر الفقرة إلى غدا.
❤10🌚6
Showing the 12 most recent of 189 posts we hold for @Labcoat88. 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.
Posts edited after publishing
@Labcoat88 edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
- First edit seen
- 8 August 2026
- Most recent edit
- 1 September 2026
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
@StartPoiint · 2,1634 postsMed light🩺💊
@medlight0 · 6,8323 posts.
@medicin21university · 4412 postsѕᴛᴜᴅᴇɴᴛ'ѕ ᴍᴇᴍᴏʀɪᴇѕ👩⚕️📚💊
@mothakerah · 3562 postsحَڪِيـــمْٖ| Doktōr
@Doktor_Hakeem · 1821 postA - 38
@JOWKHABandABOSELAH · 3821 postاقرب من الطب وغنيله🔰
@Med_Is_Fun · 16,5801 postاقرب من الطب وغنيله²🔰
@Med_Is_Fun2 · 1,7091 post👨🏻⚕🩺Medical Student🩺🧑🏻⚕
@MedicalStudentWS · 8521 postEnglish Is Fun.
@Mo21G · 3,1541 postاللجنة العلمية للدفعة الأولى طب بشري| جامعة الرشيد
@RSU_Medicine · 9741 postدوبامين كافي
@THSBSS · 3831 postإسبريسو.
@a_espresso1 · 8,7051 postclinical case studies
@clincalcasestudies · 1,1501 postMed & Me
@ghmohammed · 1191 post🩵 𝐁𝐚𝐡𝐞𝐭𝐡𝐨𝐨𝐧 | باحثون الطبي
@mult1Research · 1,4811 postروحٌ مُتفائلة 🦋.
@soul136 · 1651 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 11 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.
Named by
Channels on the register whose posts name this channel's handle.
@Med_Is_Fun · 16,5803 posts♡Start Point
@StartPoiint · 2,1633 posts» طالب منكوب🇵🇸 •
@maqay11 · 10,2092 postsChatgpt Gooo⚡⚡⚡
@ChatgptGooo · 6471 postC9 العلمية
@educationalC9 · 3481 postA - 38
@JOWKHABandABOSELAH · 3821 postاقرب من الطب وغنيله²🔰
@Med_Is_Fun2 · 1,7091 post🇵🇸Medical information 👨⚕🇾🇪|معلومات طبية
@medical_informations8 · 2,7611 postѕᴛᴜᴅᴇɴᴛ'ѕ ᴍᴇᴍᴏʀɪᴇѕ👩⚕️📚💊
@mothakerah · 3561 postاكاديمية التمريض
@Nu_baqir · 21,1511 postغيـمة ☁️💙"
@screaming_2021 · 4461 post
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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 0
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 1
- vacant every time we have ever looked
@Labcoat88 named 1 handle 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.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 2 posts, 8 August 2026 – 2 September 2026
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.
“لابكوت | Labcoat.” (@Labcoat88), 13,193 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/Labcoat88.
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.