Channel
@train9ing
On this record: Topic · Observations · Also posting the same content · Growth · Engagement · Reactions · Posts · Citations · Cite this entry
852subscribers
+1 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001783037934 |
|---|---|
| Type | Channel |
| Username | @train9ing |
| Created | Between 1 December 2021 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 6 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 6 August 2026 |
| On Telegram | t.me/train9ing |
Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 11 August 2026 and assigned it the closest of 31 fixed categories, at 100% 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.
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Posts published here appear word for word on 1 other registered channel. They sit inside a group of 4 channels that share the same post bodies with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
| Posted first | Then | Overlap | Gap |
|---|---|---|---|
| @USF_almy4/177210 Jul 2026, 22:23 UTC | @train9ing/142 · this entry11 Jul 2026, 15:31 UTC | 1.00 | 17 hours |
| @train9ing/144 · this entry18 Jul 2026, 22:35 UTC | @USF_almy4/177719 Jul 2026, 11:49 UTC | 1.00 | 13 hours |
| Channel | Matching posts | Text overlap | Typical gap | Published first |
|---|---|---|---|---|
| @USF_almy4 | 7 (7/7 hand-verifiable sample passed) | 1.00 | 65 minutes | this entry (4–3) |
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 15 comparable posts for this entry, running 11 July 2026 to 5 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Across the whole group of 4, the earliest publisher we hold is @USF_almy. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_mutual, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
This channel’s posts match, word for word or near enough, posts on 3 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Aug 2026, 16:50 | 852 | +1 |
| 6 Aug 2026, 14:50 | 851 | no change |
| 6 Aug 2026, 03:06 | 851 | first reading |
20 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 1 pageof Telegram’s post history, 20 posts per page.
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 3 of 18 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 5 August 2026 |
|---|---|
| Posts held | 20 (11 July 2026 – 5 August 2026) |
| Views total | 9,093 |
| Reactions total | 4 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 14:50 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.
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 4 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 5reactions 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 11 July 2026 to 5 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.
📢 إعلان هام بالتزامن مع انطلاق العام الدراسي الجامعي لطلاب المستوى الأول، وبرعاية جامعة العلوم والتكنولوجيا، تعلن مؤسسة معارج العلم للتنمية والتأهيل عن إقامة: الدورة التأسيسية للانطلاق نحو العالم الطبي 🌟دورة المصطلحات الطبية 📚 أبرز محاور الدورة: أساسيات المصطلحات الطبية. قواعد تكوين المصطلحات (Prefixes – Roots – Suffixes). مصطلحات تشريح الجسم وأجهزته. أشهر الاختصارات الطبية. النطق الصحيح للمصطلحات الطبية. تطبيقات …
🩺🥼لطلاب الكليات الطبية المستجدين المقبلين على بداية التخصص الجامعي الطبي السبت القادم برعاية جامعة العلوم والتكنولوجيا يسر مؤسسة معارج العلم ان تعلن لكم عن دورة نوعية مهمة تعد المدخل لكل المقبلين على التخصصات الطبية والتي هي دورة المصطلحات الطبية لحجز مقعدكم والاستفسار يرجى التواصل بنا عبر الواتساب: 730991233 او التسجيل عبر الرابط : https://forms.gle/vhbCEVtEBgvkDqtH7 مؤسسة معارج العلم : https://t.me/maarij_d…
🎓 بشــرى ســارة لخريجي الثانوية العامة! 🌟 هل ما زلت محتارًا في اختيار تخصصك الجامعي؟ 🤔 لا تجعل الحيرة تؤخر مستقبلك! تقدم لكم مؤسسة معارج العلم للتنمية والتأهيل دورة مجانية بعنوان: 📚 كيف تختار تخصصك الجامعي؟ خلال الدورة ستتعرف على: ✅ كيفية اختيار التخصص المناسب لقدراتك وميولك. ✅ أكثر التخصصات المطلوبة في سوق العمل. ✅ أخطاء شائعة يجب تجنبها عند اختيار التخصص. ✅ نصائح تساعدك على اتخاذ القرار الصحيح بثقة. 📍 سارع بالت…
❤2
🔴 هااااام 🔴 🎉 مجانا ً دورة المضادات الحيوية برعاية كريمة من رئاسة جامعة العلوم والتكنولوجيا انطلقت اليوم بكلية طب الاسنان جوار مبنى القبول والتسجيل بالجامعة اولى محاضرات دورة المضادات الحيوية و التي تقيمها مؤسسة معارج العلم للتنمية والتأهيل مع المدرب الاستاذ الدكتور/ عبدالله المسوري والتي من المقرر أن تستمر لمدة أسبوع يومياً من الساعة ٢ ظهراً الى الساعة ٤ عصراً. وعليه ومن باب إتاحة الفرصة للاستفادة من الدورة تعلن…
Channel name was changed to «التدريب والتٲهيل جامعة العلوم والتكنولوجيا USF»
🔷لمن يريد التميز في المصطلحات الطبية واحترافها. 🔷لمن يريد أن تتسهل مذاكرته ودراسته في السنوات الدراسية الأولى 🔴🤩👈🏻برعاية جامعة العلوم والتكنولوجيا تعلن مؤسسة معارج العلم عن إقامة: 🔴 برنامج المصطلحات الطبية "🔴 لجميع الطلاب الراغبين في الدخول في المجال الطبي والدارسين في العلوم والتخصصات الطبية المختلفة ومن مختلف الجامعات . 🔴البرنامج يشمل المحاور التالية : 🔰 أساسيات المصطلحات الطبية. 🔰مصطلحات الأدوات الطبية وال…
📢 *تنبيه هام للطلبة المتقدمين لاختبار المنح التنافسية* تعلن جامعة العلوم والتكنولوجيا عن جدول توزيع أماكن اختبار المنح التنافسية. ⚠️ تعليمات وضوابط دخول الاختبار ( هام ): 📌 *الوثائق المطلوبة لدخول القاعة:* - إحضار أصل أو صورة استمارة الثانوية العامة (أو كشف النتيجة). - إحضار البطاقة الشخصية أو رقم الجلوس. 🗓 *يرجى الاطلاع على الجدول المرفق لمعرفة موقع الاختبار والتوقيت المحدد لكل تخصص.* نتمنى لجميع أبنائنا وب…
مجانا دورة التسويق الرقمي اونلاين للتسجيل : https://ust.edu.ye/coursesreg/reg_online.php
مجانا موعدنا السبت القادم تقيم مؤسسة معارج العلم- بالتعاون مع ملتقى الطالب الجامعي جامعة العلوم والتكنولوجيا دورة المضادات الحيوية للتسجيل عبر الرابط : https://forms.gle/FUFkhkhxucXSnZFV6
Photo, posted without a caption
📢 طوّر معرفتك الطبية وانضم إلى دورة المضادات الحيوية! 💊🦠 هل ترغب في فهم الاستخدام الصحيح للمضادات الحيوية وتجنب أخطاء وصفها واستعمالها؟ اغتنم الفرصة وسجّل في دورة المضادات الحيوية التي تقدمها مؤسسة معارج العلم للتنمية والتأهيل، لتتعرف على أحدث الممارسات العلمية في الاختيار الذكي للمضادات الحيوية وآثارها وطرق استخدامها بالشكل الأمثل. ✨ محاور الدورة: ✅ Antibiotics – Course Topics Introduction to Antimicrobial Therapy…
📢 *إعلان مهم لطلبة المنح التنافسية* 🎓 تعلن جامعة العلوم والتكنولوجيا لجميع المتقدمين للمنح التنافسية أن موعد الاختبار سيكون: 🗓 *يوم الخميس الموافق: 30 / 07 / 2026م* 📌 ملاحظة: سيتم الإعلان لاحقاً عن توزيع أماكن الاختبار. #جامعة_العلوم_والتكنولوجيا #المنح_التنافسية
Showing the 12 most recent of 20 posts we hold for @train9ing. 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 — 117,627 of 1,151,006entries 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
Named by 9 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.
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.
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 6 August 2026 — this entry's latest reading, not the date you are reading this.
“التدريب والتٲهيل جامعة العلوم والتكنولوجيا USF” (@train9ing), 852 subscribers as measured 6 August 2026. Telegram Register, tgregister.com/channel/train9ing.
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.