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 96% 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.
Observations
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.
Content that also appears on other registered channels
Posts published here appear word for word on 5 other registered channels. They sit inside a group of 464 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.
Matching posts — open both and compare (6 of the pairs behind the counts below)
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 46 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 20 comparable posts for this entry, running 19 February 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.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Across the whole group of 464, the earliest publisher we hold is @akharinkhabar. That is a statement about our reading window, not a claim of authorship.
Recorded under the keys clone_copy · clone_mutual · clone_source, last confirmed 8 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.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 463 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.
413 more channels are in this same group but not listed individually here.
Growth
14 measurements spanning 43 days, net -123. 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 6,152–6,311 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
18 Sept 2026, 21:57
6,170
-16
14 Sept 2026, 08:55
6,186
-5
11 Sept 2026, 02:36
6,191
-7
6 Sept 2026, 12:38
6,198
-15
2 Sept 2026, 06:08
6,213
-3
30 Aug 2026, 14:13
6,216
-5
27 Aug 2026, 12:56
6,221
-11
24 Aug 2026, 10:35
6,232
-9
20 Aug 2026, 18:53
6,241
-16
17 Aug 2026, 12:05
6,257
-15
13 Aug 2026, 18:08
6,272
-11
10 Aug 2026, 10:36
6,283
-7
7 Aug 2026, 11:31
6,290
-3
6 Aug 2026, 21:31
6,293
first reading
Engagement
21 posts held, back to 19 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 9 pages 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 21 posts for this entry, the most recent from 8 August 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
2 reactions across 2 posts, in 1 kind.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👎
2
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 2 of the 21 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 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 21 most recent posts we hold, published 19 February 2026 to 8 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.
‼️ فقط با ۱۱۹ هزار تومن، مهارت جدید یاد بگیر ‼️
♨️ قیمت استثنایی برای ۶۰۰ دوره آموزشیِ فرادرس
📣 برای مشاهده آموزشهای هر دسته بندی، روی عنوان مورد نظر کلیک کنید: 👇
✅ هوش مصنوعی | برنامه نویسی
✅ علوم کامپیوتر و شبکه | پایتون
✅ زبانهای خارجی | اکسل Excel
✅ بازاریابی و کسب و کار | بازارهای مالی
✅ مهارتهای عمومی | طراحی سایت
🔗 لیست تمامی ۶۰۰ آموزش - [کلیک کنید]
🔄 FaraDars - فرادرس
♨️ آخرین فرصت — دریافت بیش از ۶۰۰ آموزش ۱۱۹ هزار تومنی از فرادرس!
⭐️ طرح «شگفتی آموختن»، فرصتی ویژه برای یادگیری...
✅ جدیدترین آموزشهای اضافه شده به طرح شگفتی 👇
🔶 وردپرس برای راه اندازی سایت + پروژه ساخت فروشگاه
🔶 کدنویسی تمیز برای بهینه سازی و خواناتر شدن کد
🔶 چت با هوش مصنوعی ChatGPT و جمینای + پرامپت نویسی اصولی
🔶 آموزش جاوا اسکریپت JavaScript
🔶 سئو یا بهینه سازی سایت – اصول SEO
➕ لیست ۲۰۰ آموزش جدید - [ک…
🔴 خبر فوری — ۲۰۰ آموزش جدید اضافه شد...‼️
💯 ۴۰۰+۲۰۰ آموزش منتخب در فرادرس، ۱۱۹,۰۰۰ تومن شد.
دورههای آموزشی منتخب با قیمت استثنایی 👇
▫️ برنامه نویسی C – جامع و با نکات کاربردی
▫️ آموزش برنامه نویسی جاوا Java
▫️ آموزش کاربردی برنامه نویسی سی شارپ
▫️ آموزش SQL Server + مثالهای عملی
▫️ آموزش پروژه محور پایتون – حل ۲۰ مسئله کاربردی
🔗 لیست تمامی ۶۰۰ آموزش - [کلیک کنید]
🔄 FaraDars - فرادرس
✅ دوستان اگه اکانت گیت هاب قدیمی دارید. وارد این سایت بشید و ثبت نام کنید. 175 دلار اعتبار رایگان استفاده از مدل های Claude opus 5 و GPT 5.6 sol رو بهتون میده
لینک وب سایت:
AgentRouter.org
🖥 @Computer_Science100
🔥 با ۱۱۹ هزار تومن هر چی میخوای یاد بگیر!
🔴 در طرح شگفتی فرادرس، ۴۰۰ آموزش منتخب، ۱۱۹,۰۰۰ تومن شد.
🔻 برای مشاهده آموزشها و شروع یادگیری، همین حالا وارد لینک زیر شوید: 👇
🔗 فهرست ۴۰۰ آموزش — [کلیک کنید]
➕ تخفیف ۸۰ درصدی برای سایر آموزشها 👇
📚 مشاهده سایر آموزشها [+]
🔄 FaraDars - فرادرس
🔥 یادگیری برنامه نویسی پایتون با ۶۹,۰۰۰ تومان در فرادرس
💯 با استفاده از کد تخفیف FRPYT69 میتوانید هر یک از آموزشهای پایتون را با ۶۹ هزار تومان تهیه کنید.
این آموزشها به صورت منتخب و کاربردی ارائه شدهاند تا شما بتوانید مهارتها و دانش خود را به شکل هدفمند ارتقا دهید.
❇️ مشاهده آموزشها — [انتخاب کنید]
🔄 FaraDars - فرادرس
🚀 با فرادرس، رایگان آموزش ببین و تو یه چشم بهم زدن کلی مهارت یاد بگیر...
⭐ آموزش سریع یا کرش کورس، یه آموزش کوتاه و کاربری و در عین حال پرمحتواست که حتما به کارت میاد.👇
🔗 برنامه نویسی C در ۱۶۰ دقیقه
🔗 آموزش پایتون در ۱۴۰ دقیقه
🔗 طراحی سایت در ۸۰ دقیقه
🔗 جاوا اسکریپت JavaScript در ۱۵۰ دقیقه
🔗 برنامه نویسی اندروید در ۱۵۰ دقیقه
👈 بقیه رو اینجا ببین - [شروع یادگیری]
🔄 FaraDars - فرادرس
🔴 فرصت محدود — ۹۴٪ تخفیف فرادرس برای یک یا ۲ آموزش به انتخاب شما
💯 در طرح «یادگیری بدون توقف»، فرصتی استثنائی برای شما فراهم شده تا آموزش مورد علاقه خود را با تخفیف ویژه دریافت کنید!!
🎁 کد تخفیف: LEARN94
🔻 اگر قبلا سفارش همراه با پرداخت داشتهاید، میتوانید یک آموزش و در صورتی که پرداختی در فرادرس نداشتهاید، میتوانید تا ۲ آموزش را به انتخاب خود، دریافت کنید.👇
❇️ مشاهده آموزشها — [انتخاب کنید]
▫️ مشاهده جزئیات…
📣 ۷۵٪ تخفیف برای دسترسی رایگان به تمام آموزشهای فرادرس
💯 از دروس دانشگاه و کنکور تا برنامهنویسی، هوش مصنوعی، نرمافزار، مهارتهای شغلی، هنر و هزاران موضوع دیگر؛ همه با یک اشتراک در دسترس شماست!!
🔻 مزایای اشتراک فرادرس:
✅ دسترسی نامحدود به ۱۸,۰۰۰+ آموزش تخصصی
✅ ۲۰۰,۰۰۰+ تمرین و سؤال برای یادگیری عمیق و کاربردی
✅ دریافت گواهینامه در بیش از ۴,۰۰۰ آموزش
🔥 امکان پرداخت در ۴ قسط
🔗 فعالسازی اشتراک فرادرس – کلیک کنید…
🔴 آخرین فرصت — ۸۰ درصد تخفیف فرادرس برای تمامی آموزشها
✅ پرطرفدارترین آموزشهای منتشر شده 👇
▪️ برنامه نویسی پایتون + مثال های عملی
▪️ برنامه نویسی پایتون پیشرفته – ترفندها
▪️ برنامه نویسی شی گرا در Python
▪️ تجزیه و تحلیل داده های مالی با پایتون
▪️ تحلیل قیمت دلار با Matplotlib در پایتون (رایگان)
🔗 مشاهده سایر آموزشها [+]
➕ دسترسی رایگان به تمامی آموزشها با دریافت اشتراک فرادرس (۷۵ درصد تخفیف) 👇
🔗 فعالسا…
🏖 ۸۰ درصد تخفیف تابستانی فرادرس برای تمامی آموزشها
✅ جدیدترین آموزشهای منتشر شده 👇
🟡 توسعه نرم افزار بدون کدنویسی با Cursor و ChatGPT Codex
🟡 هوش مصنوعی GPT برای مهندس نرم افزار
🟡 راهاندازی رایگان سرویس n8n روی سرور ابری – اتوماسیون هوشمند
🟡 دواپس DevOps برای توسعه نرم افزار
🟡 آموزش Vibe coding + ساخت اپلیکیشن بدون کدنویسی با هوش مصنوعی
🔗 مشاهده سایر آموزشها [+]
➕ اشتراک فرادرس را با ۷۵ درصد تخفیف فعال ک…
🎓 جمعبندی برای موفقیت در کنکور ارشد با فرادرس
📚 مرور مطالب مهم و تمرین سؤالات پرتکرار، همگی در «مجموعه دروس کنکور ارشد»...!
➕ ۸۰ درصد تخفیف برای همه آموزشها
🔹 مهندسی کامپیوتر [+]
🔹 مهندسی برق [+]
🔹 مهندسی مکانیک [+]
🔹 مهندسی عمران [+]
🔹 مهندسی صنایع [+]
🔗 مشاهده سایر رشتههای ارشد — [کلیک کنید]
🔄 FaraDars - فرادرس
Showing the 12 most recent of 21 posts we hold for @Texpert_100. 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.
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
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
@Texpert_100 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.
@veloxa_vpn1 named in 1 post, 8 August 2026 – 8 August 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.
ژورنال آکادمیک @journalacademic · 26,587 Telegram ranks this channel #6 of 78 here — alongside 77 others — read 12 September 2026
خانه موبایل و کامپیوتر @PcAndMob · 24,641 Telegram ranks this channel #17 of 73 here — alongside 72 others — read 15 September 2026
Computer Help @P30_H3LP · 25,284 Telegram ranks this channel #32 of 76 here — alongside 75 others — read 14 September 2026
روانشناسی و پزشکی @matlabravanshenasi · 24,043 Telegram ranks this channel #66 of 83 here — alongside 82 others — read 17 September 2026
هوش مصنوعی |یادگیری ماشین| علم داده @Ai_Tv · 26,564 Telegram ranks this channel #67 of 94 here — alongside 93 others — read 12 September 2026
پایتون | Data Science | Machine Learning @Python4all_pro · 24,343 Telegram ranks this channel #68 of 91 here — alongside 90 others — read 16 September 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“Texpert | تکسپرت” (@Texpert_100), 6,170 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/Texpert_100.
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.