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Channel

کافه تدریس | Cafetadris.com

@Cafetadris

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts recorded as deleted · Citations · Telegram's recommendations · Cite this entry

12,540subscribers

+572 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001051450927
TypeChannel
Username@Cafetadris
CreatedBetween 1 May 2016 and 28 February 2017 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live5 November 2026
Measurements held60
Confirmed unchanged1 time, most recently 5 November 2026
On Telegramt.me/Cafetadris

Topic

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 10 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 the other topics.

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 1 other registered channel. 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 (1 of the pairs behind the counts below)
Posted firstThenOverlapGap
@Cafetadris/9495 · this entry2 Aug 2026, 07:05 UTC@konkoorMBA/88412 Aug 2026, 10:33 UTC0.933.5 hours
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@konkoorMBA5 (5/5 hand-verifiable sample passed)0.9918 hours@konkoorMBA (4–1)

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 27 comparable posts for this entry, running 2 August 2026 to 7 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 2, the earliest publisher we hold is @konkoorMBA. 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.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, 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.

Growth

11,96712,54712,2575 August 2026 — 11,968 subscribers6 August 2026 — 11,968 subscribers6 August 2026 — 11,967 subscribers7 August 2026 — 11,979 subscribers8 August 2026 — 11,984 subscribers9 August 2026 — 11,988 subscribers10 August 2026 — 11,990 subscribers11 August 2026 — 12,003 subscribers12 August 2026 — 12,006 subscribers14 August 2026 — 12,013 subscribers15 August 2026 — 12,005 subscribers16 August 2026 — 12,003 subscribers17 August 2026 — 12,006 subscribers19 August 2026 — 12,025 subscribers20 August 2026 — 12,027 subscribers21 August 2026 — 12,023 subscribers22 August 2026 — 12,019 subscribers24 August 2026 — 12,030 subscribers25 August 2026 — 12,036 subscribers26 August 2026 — 12,060 subscribers27 August 2026 — 12,089 subscribers28 August 2026 — 12,095 subscribers29 August 2026 — 12,103 subscribers30 August 2026 — 12,113 subscribers31 August 2026 — 12,128 subscribers1 September 2026 — 12,140 subscribers2 September 2026 — 12,154 subscribers3 September 2026 — 12,149 subscribers5 September 2026 — 12,160 subscribers8 September 2026 — 12,173 subscribers11 September 2026 — 12,185 subscribers13 September 2026 — 12,195 subscribers14 September 2026 — 12,213 subscribers16 September 2026 — 12,248 subscribers25 September 2026 — 12,317 subscribers3 October 2026 — 12,394 subscribers8 October 2026 — 12,430 subscribers12 October 2026 — 12,445 subscribers14 October 2026 — 12,446 subscribers15 October 2026 — 12,454 subscribers16 October 2026 — 12,463 subscribers18 October 2026 — 12,474 subscribers19 October 2026 — 12,484 subscribers20 October 2026 — 12,488 subscribers21 October 2026 — 12,498 subscribers22 October 2026 — 12,499 subscribers23 October 2026 — 12,513 subscribers24 October 2026 — 12,511 subscribers25 October 2026 — 12,509 subscribers26 October 2026 — 12,515 subscribers27 October 2026 — 12,514 subscribers28 October 2026 — 12,524 subscribers29 October 2026 — 12,523 subscribers30 October 2026 — 12,528 subscribers31 October 2026 — 12,540 subscribers1 November 2026 — 12,547 subscribers2 November 2026 — 12,536 subscribers3 November 2026 — 12,534 subscribers4 November 2026 — 12,542 subscribers5 November 2026 — 12,540 subscribers12,5405 August 20265 November 2026
60 measurements spanning 92 days, net +572. 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 11,880–12,634 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 60
Measured (UTC)SubscribersChange
5 Nov 2026, 12:4812,540-2
4 Nov 2026, 09:5112,542+8
3 Nov 2026, 13:1912,534-2
2 Nov 2026, 13:1012,536-11
1 Nov 2026, 14:2912,547+7
31 Oct 2026, 16:0612,540+12
30 Oct 2026, 12:3012,528+5
29 Oct 2026, 10:0912,523-1
28 Oct 2026, 11:1812,524+10
27 Oct 2026, 13:1612,514-1
26 Oct 2026, 12:3012,515+6
25 Oct 2026, 13:1512,509-2
24 Oct 2026, 16:3612,511-2
23 Oct 2026, 16:3912,513+14
22 Oct 2026, 15:5412,499+1
21 Oct 2026, 11:0612,498+10
20 Oct 2026, 05:4012,488+4
19 Oct 2026, 05:0512,484+10
18 Oct 2026, 08:0512,474+11
16 Oct 2026, 09:2712,463first reading

Engagement

171 posts held, back to 2 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 53 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
6.73%
avg views ÷ 12,540 subscribers
Avg views / post
844
27 posts measured
Reaction rate
1.05%
reactions ÷ views · ER floor
Posts in window
27
of 171 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
WindowRolling 30 days · latest post in window 4 November 2026
Posts held171 (2 August 2026 – 4 November 2026)
Views total22,800
Reactions total240
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Nov 2026, 06:48 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
4m 03s
Average length
1m 21s

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

1,453 reactions across 163 posts, in 10 distinct kinds. The most used accounts for 54.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤79854.9%
👍30120.7%
🔥23216.0%
🤩422.89%
👏221.51%
👌201.38%
🫡110.757%
🎃100.688%
🤔90.619%
🤯80.551%

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 169 of the 171 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 1,494 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 171 most recent posts we hold, published 2 August 2026 to 4 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.

Telegram Stars

Stars received
10
across the posts below
Posts paid on
1
of 170 we hold a reading for · 0.6%
Most on one post
10
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @Cafetadris. 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 171 most recent posts we hold for this entry, published 2 August 2026 to 4 November 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

Telegram’s own ‘edited’ marker: 1 of 27 posts held from the last 30 days (3.70%) 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).

4 Nov 2026, 12:14 UTC316 views10 reactionsread 5 November 2026
Photo

💻 برای کنکور ارشد مهندسی کامپیوتر، IT یا علوم کامپیوتر آماده شو! اگه هدفت کنکور ارشد مهندسی کامپیوتر، IT یا علوم کامپیوتر سال ۱۴۰۶ـه، یکی از مهم‌ترین قدم‌ها اینه که از همین الان منابع و مسیر مطالعاتی هر درس رو مشخص کنی. توی کافه‌تدریس می‌تونی بسته به نیازت، از ویدئوهای درس، دوره‌های نکته‌وتست، آزمون‌های آزمایشی و پکیج‌های جامع کنکور ارشد استفاده کنی. این پست رو سیو کن تا لیست منابع همیشه دم دستت باشه 👇 ✅ درس‌های …

🔥5❤3👍2

4 Nov 2026, 10:45 UTC306 views10 reactionsread 5 November 2026
Forwarded from @konkoormodiriatVoice message

🎙 سلسله وبینارهای پشت‌صحنه موفقیت توی این سری وبینارها قراره شما رو با پشت صحنه موفقیت، مهارت‌هایی که نیاز دارین و بحران‌هایی که قراره داشته باشین آشنا کنیم. 🗓 وبینار دوم جمعه ۱۵ آبان ⏰ ساعت ۱۷ 🎤 مدرس بهنام پیرحاجی 📌 لینک ثبت‌نام رایگان: 👉🔗 https://ctdrs.ir/cr18667 📍 کانال تخصصی کنکور ارشد و دکتری مدیریت: @konkoormodiriat

❤6👍4

4 Nov 2026, 07:04 UTC448 views7 reactionsread 5 November 2026
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📚 روتین روزانه کنکوری‌ها؛ چطور یک برنامه منظم و مؤثر داشته باشیم؟ تا حالا شده برای درس خوندن برنامه‌ریزی کنی، اما بعد از چند روز نتونی بهش پایبند بمونی؟ داشتن یک روتین روزانه مناسب می‌تونه به مدیریت بهتر زمان، افزایش تمرکز و حفظ استمرار در دوران کنکور کمک کنه. از تعیین ساعت مشخص برای مطالعه و مرور درس‌ها گرفته تا خواب کافی، استراحت‌های منظم و فعالیت بدنی، همه این عادت‌ها می‌تونن کیفیت مطالعه رو بهتر کنن. توی این مقا…

❤6👍1

3 Nov 2026, 17:54 UTC554 views16 reactionsread 5 November 2026
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✅ وبینار رایگان جبر خطی | درس جدید، چالش جدید جبر خطی به کنکور ارشد کامپیوتر اضافه شده؛ چطور باید براش آماده بشیم؟ با اضافه‌شدن جبر خطی به کنکور ارشد کامپیوتر، خیلی از داوطلب‌ها نمی‌دونن این درس چه مباحثی داره و چطور باید براش آماده بشن. توی این وبینار قراره با سرفصل‌های مهم جبر خطی و بهترین مسیر مطالعه اون برای کنکور آشنا بشیم. ⚡️ رضا شکرزاد، مدرس کلاس جبرخطی کنکور ارشد کامپیوتر 📣 موضوعات اصلی وبینار: 📌 آشنایی …

❤10👍3🤩3

3 Nov 2026, 15:32 UTC506 views7 reactionsread 5 November 2026
Forwarded from @cafetadrisproPhoto

🤖 وقتی برای استخدام باید ثابت کنی رزومه‌ات رو هوش مصنوعی ننوشته! 🔴 تا همین چند وقت پیش، یکی از کاربردهای جذاب ChatGPT و ابزارهای مشابه، نوشتن رزومه‌های حرفه‌ای و آماده‌شدن برای مصاحبه‌های شغلی بود. اما حالا یک اتفاق جالب افتاده: بعضی کارجوها دارن رزومه‌هاشون رو دوباره بازنویسی می‌کنن تا بیش از حد شبیه متن‌های تولیدشده با AI نباشن! 📊 طبق گزارش جدید پلتفرم استخدامی Greenhouse که در اکتبر ۲۰۲۶ منتشر شده، هوش مصنوعی از…

❤4👍3

3 Nov 2026, 12:27 UTC514 views7 reactionsread 5 November 2026
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✅✅ وبینار رایگان کافه‌ تجربه ✨ مهمان این جلسه: فرحان مجدآبادی، ورودی ۱۴۰۵ پردیس دانشگاه صنعتی شریف فرحان مدال برنز المپیاد ریاضی رو در کارنامه خودش داره، دیپلم Business & Management رو از کالج LCPS لندن گرفته و در مقطع کارشناسی مهندسی صنایع خونده. در کنار مسیر تحصیلی، در بازارهای مالی و حوزه مدیریت پروژه در مپنا هم فعالیت داشته. اما چیزی که قراره در این جلسه درباره‌ش صحبت کنیم، فقط سوابق تحصیلی و حرفه‌ای فرحان نیس…

❤3🔥3👍1

3 Nov 2026, 10:03 UTC560 views8 reactionsread 5 November 2026
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🥗 تغذیه مناسب برای کنکوری‌ها؛ چی بخوریم تا تمرکز و انرژی بیشتری داشته باشیم؟ ساعت‌های طولانی مطالعه و فشار دوران کنکور می‌تونه باعث خستگی و کاهش تمرکز بشه؛ اما می‌دونستی تغذیه مناسب هم در حفظ انرژی و عملکرد ذهنی نقش مهمی داره؟ داشتن وعده‌های غذایی منظم، انتخاب میان‌وعده‌های سالم، نوشیدن آب کافی و پرهیز از مصرف بیش‌ازحد کافئین می‌تونه به حفظ تمرکز در طول روز کمک کنه. توی این مقاله با اصول تغذیه مناسب در دوران کنکور آ…

❤5👍3

2 Nov 2026, 14:03 UTC585 views12 reactionsread 5 November 2026
Forwarded from @konkoorMBAPhoto

📌 ثبت‌نام رویداد حضوری MBA 360 | ویژه داوطلبان کنکور ۱۴۰۶ دوست داری از نزدیک با شیوه تدریس بهترین اساتید کنکور MBA آشنا بشی و یه قدم جدی برای پیشرفتت برداری؟ توی رویداد حضوری MBA 360 کافه‌تدریس، قراره کنار اساتید باتجربه دپارتمان MBA یاد بگیری، سؤالاتت رو مطرح کنی و برای ادامه مسیر کنکور ازشون مشاوره بگیری. 📚 توی این رویداد چه برنامه‌هایی داریم؟ ⦿ کلاس حضوری ریاضی و GMAT ⦿ آموزش زبان و رفع اشکال ⦿ پنل مشاوره تخصص…

🔥7❤3👍2

2 Nov 2026, 11:49 UTC545 views10 reactionsread 5 November 2026
Forwarded from @konkoormodiriatPhoto

سلسله وبینارهای پشت‌صحنه موفقیت وبینار دوم؛ اهمال‌کاری و استمرار در مطالعه توی این سری وبینارها قراره شما رو با پشت صحنه موفقیت، مهارت‌هایی که نیاز دارین و بحران‌هایی که قراره داشته باشین آشنا کنیم. 🗓 جمعه ۱۵ آبان ⏰ ساعت ۱۷ 🎓 مدرس بهنام پیرحاجی 📌 لینک ثبت‌نام رایگان: 👉🔗 https://ctdrs.ir/cr18667 📍 کانال تخصصی کنکور ارشد و دکتری مدیریت: @konkoormodiriat

❤5👌3👍2

2 Nov 2026, 08:25 UTC670 views9 reactionsread 5 November 2026
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🏆 ۷ عادت رتبه‌برترها که می‌تونه مسیر موفقیتت رو تغییر بده! تا حالا فکر کردی رتبه‌برترهای کنکور چه کارهایی رو متفاوت انجام می‌دن که به نتایج بهتری می‌رسن؟ موفقیت در کنکور فقط به هوش یا ساعت‌های طولانی مطالعه وابسته نیست؛ عادت‌های درست و استمرار در اجرای اون‌ها هم نقش مهمی دارن. از برنامه‌ریزی منظم و مرور هدفمند گرفته تا مدیریت زمان، حفظ تمرکز و تحلیل اشتباهات، عادت‌های مطالعاتی می‌تونن کیفیت یادگیری رو متحول کنن. توی…

❤4👍3🔥2

1 Nov 2026, 17:21 UTC732 views13 reactionsread 5 November 2026
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▶️ ویدیو کامل دورهمی ارشد کامپیوتر ۱۴۰۶ | کنکور، دانشگاه و آینده شغلی اگه داوطلب کنکور ارشد کامپیوتری یا میخوای وارد این رشته بشی، صحبت‌های کامل این دورهمی رو از دست نده. توی این ویدیو استاد رامین رضوی همراه با مهمان‌ها محمدعلی مومن، سودابه فراشائیان و احسان داستانی از تجربه، مسیر کنکور، دانشگاه و بازار کار صحبت می‌کنن. 📌 ویدیو کامل در یوتیوب: 👉🔗 https://youtu.be/01BjS1mFqGk 📌 ویدیو کامل در آپارات: 👉🔗 https://apar…

❤9🔥4

1 Nov 2026, 16:06 UTC668 views9 reactionsread 5 November 2026
Forwarded from @KonkurcomputerVideo

💎 لیست طلائی : چگونه برای کنکور ارشد کامپیوتر، IT و علوم شروع کنیم؟ ⭕️ این پیام را برای خود save کنید تا همه مسیری که باید طی کنید را یکجا داشته باشید برای بهترین شروع به ترتیب گام‌های زیر را بردارید: 1️⃣ ابتدا ٣ فیلم زیر که در زیر فیلم جشن رتبه‌های برتر ٢ سال اخیر در بالای صفحه اصلی سایت konkurcomputer.ir قرار گرفته است را مشاهده کنید👇 ١. کنکور ارشد کامپیوتر از 0 تا 100 ٢. کنکور ارشد و دکتری کامپیوتر و آتی روی د…

❤3👍3🔥3

Showing the 12 most recent of 171 posts we hold for @Cafetadris. 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 recorded as deleted after publishing

We recorded 1 post on @Cafetadris as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
20 August 2026
Most recent seen missing
20 August 2026
Median time before seen missing
13 hours
Seen missing in the last 30 days
0

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 63 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.

Named by

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

کنکور ارشد کامپیوتر
@Konkurcomputer · 49,778
48 posts
پایگاه‌اطلاع‌رسانی‌‌دانشگاه‌‌آزادکرج
@khabarnegar_azad · 42,079
11 posts
تبلیغات تلگرام Enovin
@enovinads · 337
9 posts
تهران مرکز
@TehranMarkaz · 78,635
4 posts
توییتر دانشگاه تهرانی ها
@uttweet · 143,890
4 posts
اخبار دانشجویان دانشگاه آزاد
@Azadtnb1 · 171,500
3 posts
دانشگاه صنعتی اصفهان
@jozve_iut · 11,343
3 posts
کتابخانه دانشجویی ایران
@ketabkhaneh_iran · 74,450
3 posts
کنکور ارشد و دکتری مدیریت | کافه‌تدریس
@konkoormodiriat · 9,585
3 posts
•Orzhans News•📚IAUM دانشجویان دانشگاه آزاد مشهد
@Orzhans_IAUM · 46,787
3 posts
رویداد‌ رسان
@roydadresan · 250
3 posts
توییت علوم تحقیقات
@srbtwitter · 50,046
3 posts
توییتر دانشجویی
@Twitterjo · 49,237
3 posts
اخباردانشجویان پیام نور
@Akhbar_pnu · 8,433
2 posts
امیرکبیری‌ها
@amirkabiriha · 36,732
2 posts
Android Developers
@Android0to100 · 62,348
2 posts
دانشجو♻️Qods
@daaneeshjo · 8,508
2 posts
اطلاع رسانی دانشگاه آزاد 🎓
@danshga_azad · 82,907
2 posts
توییتر دانشگاه اصفهان
@esfuni_twitter · 28,987
2 posts
اطلاع رسانی آموزشیار
@IauAmozeshyar · 316,791
2 posts
تحصیلات تکمیلی
@PhdHi · 40,209
2 posts
Python Forever
@PythonForever · 131,970
2 posts
SUT Twitter
@sut_tw · 91,571
2 posts
راه ارتباطی با اساتید تهران مرکز
@TmContact · 14,552
2 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.

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.

برنامه ریزی رایگان مطالعه زبان ارشد و دکتری
@GeneralEnglishPlan · 33,331
Telegram ranks this channel #11 of 90 here — alongside 89 others — read 5 September 2026
کنکور ارشد کامپیوتر
@Konkurcomputer · 49,778
Telegram ranks this channel #11 of 88 here — alongside 87 others — read 25 August 2026
آموزش پایان نامه و مقاله نویسی پژوهه
@pajoohehgroup · 59,421
Telegram ranks this channel #23 of 87 here — alongside 86 others — read 22 August 2026
روانشناسی|محمد وظیفه شناس
@mohamadvzs · 32,460
Telegram ranks this channel #30 of 83 here — alongside 82 others — read 5 September 2026
منابع پروپوزال،مقاله،پایان نامه
@PAPhd · 63,815
Telegram ranks this channel #34 of 76 here — alongside 75 others — read 21 August 2026
جزوه بازان | JozveBazan
@jozve_bazan · 24,653
Telegram ranks this channel #37 of 83 here — alongside 82 others — read 15 September 2026
شبکه کارشناسی ارشد
@mastertest · 49,342
Telegram ranks this channel #38 of 93 here — alongside 92 others — read 27 August 2026
ژورنال آکادمیک
@journalacademic · 26,567
Telegram ranks this channel #42 of 78 here — alongside 77 others — read 12 September 2026
Englishturbo آموزش رایگان زبان با انگلیش توربو
@englishturbo · 54,286
Telegram ranks this channel #42 of 75 here — alongside 74 others — read 24 August 2026
US
@Yadbood_Ma · 25,826
Telegram ranks this channel #52 of 66 here — alongside 65 others — read 12 September 2026
اخبار دانشگاهی
@akhbaredaneshgahi · 23,780
Telegram ranks this channel #57 of 90 here — alongside 89 others — read 16 September 2026
استخدام خراسان رضوی - مشهد
@eestekhdam_khorasanerazavi · 29,679
Telegram ranks this channel #72 of 75 here — alongside 74 others — read 9 September 2026
استخدام بانک ها | ایران استخدام
@iranestekhdam24_bank · 35,988
Telegram ranks this channel #72 of 81 here — alongside 80 others — read 2 September 2026
موسسه بین المللی علوم نوبنیاد
@iins_ir · 36,182
Telegram ranks this channel #92 of 94 here — alongside 93 others — read 8 September 2026

This channel appears in 14 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 5 November 2026 — this entry's latest reading, not the date you are reading this.

“کافه تدریس | Cafetadris.com” (@Cafetadris), 12,540 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/Cafetadris.

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.