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 89% 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 the other topics.
Growth
65 measurements spanning 96 days, net -467. 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 16,783–17,642 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)
Subscribers
Change
10 Nov 2026, 20:07
16,900
-241
9 Nov 2026, 06:58
17,141
-60
8 Nov 2026, 01:07
17,201
-56
7 Nov 2026, 01:16
17,257
-48
6 Nov 2026, 04:28
17,305
-129
5 Nov 2026, 00:40
17,434
-96
4 Nov 2026, 00:29
17,530
+11
3 Nov 2026, 00:10
17,519
-3
1 Nov 2026, 00:27
17,522
-12
31 Oct 2026, 03:10
17,534
-9
30 Oct 2026, 04:50
17,543
+12
29 Oct 2026, 06:30
17,531
+7
28 Oct 2026, 07:49
17,524
+3
27 Oct 2026, 04:30
17,521
+9
26 Oct 2026, 01:00
17,512
+9
25 Oct 2026, 03:39
17,503
-18
24 Oct 2026, 05:27
17,521
-17
23 Oct 2026, 08:59
17,538
+6
22 Oct 2026, 10:39
17,532
-10
21 Oct 2026, 03:57
17,542
first reading
Engagement
128 posts held, back to 1 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 71 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
11.3%
avg views ÷ 16,900 subscribers
Avg views / post
1,920
51 posts measured
Reaction rate
0.488%
reactions ÷ views · ER floor
Posts in window
51
of 128 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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 10 November 2026
Posts held
128 (1 August 2026 – 10 November 2026)
Views total
97,710
Reactions total
477
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 04:56 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
≈4,790
Videos
≈436
Links
≈4,780
Lifetime counters from Telegram’s own channel header, read 11 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
4s
Average length
4s
Measured directly from 1 video 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
2,434 reactions across 127 posts, in 19 distinct kinds. The most used accounts for 70.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,725
70.9%
😁
343
14.1%
🔥
170
6.98%
❤🔥
45
1.85%
😢
38
1.56%
🤩
34
1.40%
🎉
21
0.863%
🕊
12
0.493%
😍
10
0.411%
⚡
8
0.329%
👌
8
0.329%
🥰
8
0.329%
🤓
3
0.123%
👏
2
0.082%
🙏
2
0.082%
🫡
2
0.082%
🏆
1
0.041%
💔
1
0.041%
💯
1
0.041%
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 127 of the 128 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 2,434 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 128 most recent posts we hold, published 1 August 2026 to 10 November 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
Telegram’s own ‘edited’ marker: 5 of 51 posts held from the last 30 days (9.80%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
💫 يقدّم لكم فريق #Med_Help نوطة الدورات الوزارية الشاملة لمادة اللغـة🗽 💫
👈🏻 ميّزات النوطة:
🪄 تتضمّن أسئلة الدورات حتّى عام 2024.
🪄 النوطّة مقسّمة بشكل مرتّب ومنظّم ومريح للطالب؛ وذلك على النحو التالي:
🪄 قسم للـ Reading:
مقسّم حسب السنوات.
🪄 قسم للـGrammar:
• مقسّم حسب الوحدات《Unite 1/2/3》
• الوحدات مقسّمة حسب وحيداتها 《 A1/B1 ..》
🪄قسم للـ Vocabulary:
مقسّم أيضًا حسب الوحدات وكل وحدة حسب وحيداتها.
…
🌱 يقدم لكم فريق Med Help في هذا الملف:
🦋 دورة 2025_2026 منفصلة من مادّة البيولوجيا 🦋
بالتوفيق يا ربّ، ولا تنسونا من صالح الدعاء 🤍🍃
#Med_Help_Biology🧬
@MedHelpForPreYears
🌱 يقدم لكم فريق Med Help في هذا الملف:
🫧 دورة 2025_2026 منفصلة من مادّة التاريخ 🫧
بالتوفيق يا ربّ، ولا تنسونا من صالح الدعاء 🤍🍃
#Med_Help_History 📜
@MedHelpForPreYears
🌱 يقدم لكم فريق Med Help في هذا الملف:
🪴 دورة 2025_2026 منفصلة من مادّة الكيمياء🪴
بالتوفيق يا ربّ، ولا تنسونا من صالح الدعاء 🤍🍃
#Chemistry 🧪
#Med_Help_Chemistry 🧪
@MedHelpForPreYears
🧪 يقدّم لكم فريق Med Help نوطة أسئلة الدورات الوزاريّة النظاميّة لمادّة الكيمياء🧪
👈🏻 والتي تتضمن:
🪷 أسئلة الدورات من عام 2016 لعام 2024 مُضافٌ إليها تصويبات النوطة السابقة.
👈🏻 دورة 2025_ 2026 ستنشر بملف منفصل.
🪷 الأسئلة الوزارية النظامية مع الحلّ والتوضيح من الكتاب.
🪷 الأسئلة مقسّمة حسب الفصول، وكلّ فصل حسب السنوات.
⬅️ فبالتالي مقسمة في آنٍ معًا حسب الفصول والسنوات 🥳 .
بالتوفيق يا ربّ، واذكرونا بين طيّاتِ دُعا…
🌱 يقدم لكم فريق Med Help في هذا الملف:
🪴 دورتا 2025_2026 بشكل منفصل من مادّة الفيزياء🪴
بالتوفيق يا ربّ، ولا تنسونا من صالح الدعاء 🤍🍃.
#Physics 🩻
#Med_Help_Physics 🩻
@MedHelpForPreYears
🦋 يقدّم لكم فريق Med Help نوطة أسئلة الدورات الوزارية النظامية لمادة الفيزياء 🩻 🦋
👈🏻 والتي تتضمّن:
🫧 أسئلة الدورات من عام 2016 لعام 2024.
🫧 دورة 2025_2026 سيتم نشرها بملف منفصل.
🫧 الأسئلة وزارية نظامية مع الحل والتوضيح من الكتاب.
🫧 الأسئلة مقسّمة حسب الفصول، وكل فصل حسب السنوات.
⬅️ فبالتالي مقسمة في آنٍ معًا حسب الفصولوالسنوات 🥳 .
🫧 مع إضافة تصويبات النوطة السابقة إليها.
بالتوفيق يا ربّ 🌸🍃
#Physics 🩻
#Med_He…
السلام عليكم ورحمة الله وبركاته 🌸🍃
استعدّوا رفاقنا فسنقوم بنشر نوط الدورات الوزاريّة المعدّلة والمصوّبة مع دورة العام الماضي بعد قليل بإذن الله تعالى، فكونوا بالقُرب 🤩🩷.
#Med_Help 🤍🍃
@MedHelpForPreYears
🔴 #خبر | #Med_Help |:
📍 وزارة التعليم العالي والبحث العلمي تصدر نتائج مفاضلة القبول الجامعي للعام الدراسي 2026 - 2027:
mofa.education-syria.com
📍المعدل المطلوب للسنة التحضيرية:
🫧 عام: 230.89.
🫧 موازٍ: 226.5.
ألف مبارك وبالتوفيق يا ربّ 🌸🍃.
#Med_Help 🤍🍃
@MedHelpForPreYears
لطلاب Pre_12 (الطلاب المقبلين على السنة التحضيرية - الدفعة الثانية عشرة)، إليكم الغروبات الرسميّة التابعة لـ Med Help والخاصة بكم 🤩 .
🫧 غروب الفيسبوك.
🫧 غروب التلغرام.
🫧 قناة التلغرام.
🫧 غروب تبادل الكُتب.
بالتوفيق والتفوّق يا ربّ 🩵🍃 .
#Med_Help 🤍🍃
@MedHelpForPreYears
السلام عليكم ورحمة الله وبركاته 🌸🍃
نكمِّل رحلتنا مع مادَّة الكيمياء، ليكون مقرَّرنا اليوم هو القسم الأول من #الفصل_الثامن بإذن الله تعالى.
🤍 وإِليكمُ المصادر المساعدة على دِراستهِ:
♡ تسجيلات د.ملك الغدير: هُنا.
🤍 البوت الآلي يحتوي كل ما تحتاجونه لدراسة المادة:
@MedHelpRobot_bot
🤍 بوت مادَّة الكيمياء للإِجابة عن جميعِ استفساراتكم:
@Medhelp_chemistry_alt_bot
🤍 رابط شات المناقشةِ العلميةِ:
https://t.me/+P-DoVb8DW…
❤10🔥3🎉1
Showing the 12 most recent of 128 posts we hold for @MedHelpForPreYears. 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
@MedHelpForPreYears edited 3 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
25 August 2026
Most recent edit
4 November 2026
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.
Shares as published, totalling 99%. 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 128 most recent posts we hold, published 1 August 2026 to 10 November 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
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 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.
Handles this channel named that no longer answer
Dead references
3
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
3
vacant every time we have ever looked
@MedHelpForPreYears named 3 handles 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.
@medhelpforpreyear named in 36 posts, 9 August 2026 – 4 September 2026
@medhelpforpreyesrs named in 28 posts, 8 August 2026 – 11 August 2026
@med2028_bot named in 3 posts, 31 August 2026 – 4 September 2026
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.
Elite Medical physics ☢️ @Elphysics · 23,340 Telegram ranks this channel #7 of 83 here — alongside 82 others — read 21 September 2026
قناة الانكليزي مع د. براء المدلل @Dr_BMOD · 25,158 Telegram ranks this channel #8 of 82 here — alongside 81 others — read 18 September 2026
وزارة التعليم العالي والبحث العلمي السورية @SyMOHEASR · 172,409 Telegram ranks this channel #10 of 74 here — alongside 73 others — read 12 August 2026
Elite chemistry 🧪 @Elitechemistry · 22,277 Telegram ranks this channel #11 of 83 here — alongside 82 others — read 26 September 2026
Scholarship for all || منح دراسية @minha222 · 21,433 Telegram ranks this channel #11 of 78 here — alongside 77 others — read 21 September 2026
Dr yousef al bardan @Dryousefalbardan · 25,590 Telegram ranks this channel #11 of 81 here — alongside 80 others — read 17 September 2026
Road to Germany - الطريق إلى ألمانيا للأطباء @GermanyRoad · 29,495 Telegram ranks this channel #13 of 93 here — alongside 92 others — read 8 September 2026
بكالوريا إنجليزي - علي الدرساني @alienglishbac · 26,056 Telegram ranks this channel #29 of 78 here — alongside 77 others — read 25 September 2026
حسام الخوجه @hussamalkhoja · 25,095 Telegram ranks this channel #44 of 68 here — alongside 67 others — read 13 September 2026
عدسة طالب طب @lenstaleb · 57,511 Telegram ranks this channel #65 of 83 here — alongside 82 others — read 22 August 2026
فريق بكسل التعليمي @B1R4Z5O8R10 · 29,856 Telegram ranks this channel #71 of 91 here — alongside 90 others — read 9 September 2026
This channel appears in 11 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 10 November 2026 — this
entry's latest reading, not the date you are reading this.
“Med Help” (@MedHelpForPreYears), 16,900 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/MedHelpForPreYears.
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.