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Channel

مرکز مشاوره دانشگاه تهران

@UTcounseling

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

24,638subscribers

+166 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-1001000012271
TypeChannel
Username@UTcounseling
CreatedBetween 1 September 2015 and 31 December 2015 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live15 September 2026
Measurements held30
Confirmed unchanged1 time, most recently 15 September 2026
On Telegramt.me/UTcounseling

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 99% 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 1 other registered channel. They sit inside a group of 3 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.

No sample pairs were kept for this entry. The counts below were measured, but without the pairs there is nothing here for you to open and check, so treat the relationship as recorded rather than demonstrated.

Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@UTworkshops14 (8/8 hand-verifiable sample passed)1.00under a minute@UTworkshops (131)

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 1 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 19 comparable posts for this entry, running 6 June 2026 to 3 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 3, the earliest publisher we hold is @UTworkshops. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_copy, 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 2 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.

Growth

24,44624,64924,547.55 August 2026 — 24,472 subscribers6 August 2026 — 24,472 subscribers7 August 2026 — 24,471 subscribers9 August 2026 — 24,475 subscribers10 August 2026 — 24,485 subscribers11 August 2026 — 24,480 subscribers12 August 2026 — 24,481 subscribers13 August 2026 — 24,474 subscribers14 August 2026 — 24,469 subscribers16 August 2026 — 24,453 subscribers17 August 2026 — 24,458 subscribers19 August 2026 — 24,455 subscribers20 August 2026 — 24,447 subscribers21 August 2026 — 24,450 subscribers24 August 2026 — 24,446 subscribers25 August 2026 — 24,450 subscribers27 August 2026 — 24,461 subscribers28 August 2026 — 24,533 subscribers28 August 2026 — 24,546 subscribers29 August 2026 — 24,575 subscribers31 August 2026 — 24,592 subscribers1 September 2026 — 24,599 subscribers2 September 2026 — 24,603 subscribers3 September 2026 — 24,602 subscribers4 September 2026 — 24,605 subscribers7 September 2026 — 24,629 subscribers10 September 2026 — 24,649 subscribers12 September 2026 — 24,643 subscribers14 September 2026 — 24,641 subscribers15 September 2026 — 24,638 subscribers24,6385 August 202615 September 2026
30 measurements spanning 41 days, net +166. 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 24,416–24,679 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 30
Measured (UTC)SubscribersChange
15 Sept 2026, 19:2124,638-3
14 Sept 2026, 03:1524,641-2
12 Sept 2026, 11:1624,643-6
10 Sept 2026, 08:1724,649+20
7 Sept 2026, 04:3924,629+24
4 Sept 2026, 14:5724,605+3
3 Sept 2026, 02:5624,602-1
2 Sept 2026, 02:0224,603+4
1 Sept 2026, 03:1524,599+7
31 Aug 2026, 01:2724,592+17
29 Aug 2026, 22:2824,575+29
28 Aug 2026, 22:5824,546+13
28 Aug 2026, 01:1824,533+72
27 Aug 2026, 00:4624,461+11
25 Aug 2026, 21:2424,450+4
24 Aug 2026, 18:1724,446-4
21 Aug 2026, 17:5624,450+3
20 Aug 2026, 16:0524,447-8
19 Aug 2026, 14:5224,455-3
17 Aug 2026, 13:4724,458first reading

Engagement

27 posts held, back to 6 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 60 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
8.36%
avg views ÷ 24,638 subscribers
Avg views / post
2,060
6 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
6
of 27 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 1 September 2026
Posts held27 (6 June 20261 September 2026)
Views total12,360
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 10:39 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.

Recent posts

1 Sept 2026, 06:13 UTC≈1,700 viewsread 3 September 2026
Photo

🔷 مرکز مشاوره دانشگاه تهران با همکاری دفتر مشاوره و سلامت وزارت علوم، تحقیقات و فناوری برگزار میکند: 🛑 وبینار آموزشی:نقش تله های ذهنی در روابط بین فردی 🟣 مدرس: دکتر بهنام شیرینی 🗓 تاریخ برگزاری:۱۱شهریور ۱۴۰۵ ⏰ ساعت: ۱۶ الی ۱۸ 🔹لینک ثبت نام و شرکت در وبینار

31 Aug 2026, 05:22 UTC≈1,670 viewsread 3 September 2026
Forwarded from @UTworkshopsPhoto

🔷 مرکز مشاوره دانشگاه تهران با همکاری دفتر مشاوره و سلامت وزارت علوم، تحقیقات و فناوری برگزار میکند: 🛑 وبینار آموزشی:نقش تله های ذهنی در روابط بین فردی 🟣 مدرس: دکتر بهنام شیرینی 🗓 تاریخ برگزاری:۱۱شهریور ۱۴۰۵ ⏰ ساعت: ۱۶ الی ۱۸ 🔹لینک ثبت نام و شرکت در وبینار

23 Aug 2026, 07:32 UTC≈3,020 viewsread 3 September 2026
Forwarded from @UTworkshopsPhoto

🔷 مرکز مشاوره دانشگاه تهران با همکاری دفتر مشاوره و سلامت وزارت علوم، تحقیقات و فناوری برگزار میکند: 🛑 وبینار آموزشی:سفری کوتاه برای بهتر شدن رابطه هایمان 🟣 مدرس: دکتر شیلر کیخاونی 🗓 تاریخ برگزاری:۲شهریور ۱۴۰۵ ⏰ ساعت: ۱۶ الی ۱۸ 🔹لینک ثبت نام و شرکت در وبینار

22 Aug 2026, 06:53 UTC≈1,250 viewsread 3 September 2026
Forwarded from @UTworkshopsPhoto

🔷 مرکز مشاوره دانشگاه تهران با همکاری دفتر مشاوره و سلامت وزارت علوم، تحقیقات و فناوری برگزار میکند: 🛑 وبینار آموزشی: نسلی در خطر؛بحران خاموش 🟣 مدرس: دکتر جهانمیری نژاد 🗓 تاریخ برگزاری:۳۱مرداد ۱۴۰۵ ⏰ ساعت: ۱۶ الی ۱۸ 🔹لینک ثبت نام و شرکت در وبینار

22 Aug 2026, 06:51 UTC≈1,700 viewsread 3 September 2026
Forwarded from @UTworkshopsPhoto

🔷 مرکز مشاوره دانشگاه تهران با همکاری دفتر مشاوره و سلامت وزارت علوم، تحقیقات و فناوری برگزار میکند: 🛑 وبینار آموزشی: نسلی در خطر؛بحران خاموش 🟣 مدرس: دکتر جهانمیری نژاد 🗓 تاریخ برگزاری:۳۱مرداد ۱۴۰۵ ⏰ ساعت: ۱۶ الی ۱۸ 🔹لینک ثبت نام و شرکت در وبینار

18 Aug 2026, 06:24 UTC≈3,020 viewsread 3 September 2026
Forwarded from @UTworkshopsPhoto

🔷 مرکز مشاوره دانشگاه تهران با همکاری دفتر مشاوره و سلامت وزارت علوم، تحقیقات و فناوری برگزار میکند: 🛑 وبینار آموزشی: از لذت های زودگذر تا بهزیستی پایدار 🟣 مدرس: دکتر حسن عبدالله زاده 🗓 تاریخ برگزاری:۲۸مرداد ۱۴۰۵ ⏰ ساعت: ۱۶ الی ۱۸ 🔹لینک ثبت نام و شرکت در وبینار

16 Aug 2026, 06:39 UTC≈2,970 viewsread 3 September 2026
Forwarded from @UTworkshopsPhoto

🔷 مرکز مشاوره دانشگاه تهران با همکاری دفتر مشاوره و سلامت وزارت علوم، تحقیقات و فناوری برگزار میکند: 🛑 وبینار آموزشی: سلامت روان درعصر شبکه های اجتماعی 🟣 مدرس: دکتر پریا مژگانی 🗓 تاریخ برگزاری:۲۶مرداد ۱۴۰۵ ⏰ ساعت: ۱۶ الی ۱۸ 🔹لینک ثبت نام و شرکت در وبینار

3 Aug 2026, 07:00 UTC≈5,000 viewsread 3 September 2026
Forwarded from @UTworkshopsPhoto

🔷 مرکز مشاوره دانشگاه تهران با همکاری دفتر مشاوره و سلامت وزارت علوم، تحقیقات و فناوری برگزار میکند: 🛑 وبینار آموزشی: مبارزه در درون :مدیریت تضادهای مغز و معنا برای عبور از بحران تلاش 🟣 مدرس: دکتر علی شهروی 🗓 تاریخ برگزاری:۱۴مرداد ۱۴۰۵ ⏰ ساعت: ۱۶ الی ۱۸ 🔹لینک ثبت نام و شرکت در وبینار

27 Jul 2026, 05:40 UTC≈5,000 viewsread 3 September 2026
Forwarded from @UTworkshopsPhoto

🔹مرکز مشاوره دانشگاه تهران با همکاری دفتر مشاوره و سلامت وزارت علوم، تحقیقات و فناوری برگزار میکند: 🛑 وبینار آموزشی: سواد هوش مصنوعی؛ از یک دانشجوی معمولی تا یک ابر دانشجو 🟣 مدرس: دکتر نسیم مرندی 🗓 تاریخ برگزاری:۷مرداد ۱۴۰۵ ⏰ ساعت: ۱۶ الی ۱۸ 🔹لینک ثبت نام و شرکت در وبینار

25 Jul 2026, 06:27 UTC≈4,200 viewsread 3 September 2026
Forwarded from @UTworkshopsPhoto

🔷 مرکز مشاوره دانشگاه تهران با همکاری دفتر مشاوره و سلامت وزارت علوم، تحقیقات و فناوری برگزار میکند: 🛑 وبینار آموزشی: از تروما تا امنیت؛ خانواده ای که از جنگ عبور می کند 🟣 مدرس: دکتر محمدرضا فرشاد 🗓 تاریخ برگزاری:4مرداد ۱۴۰۵ ⏰ ساعت: ۱۶ الی ۱۸ 🔹لینک ثبت نام و شرکت در وبینار

18 Jul 2026, 06:45 UTC≈4,370 viewsread 3 September 2026
Forwarded from @UTworkshopsPhoto

*مرکز مشاوره دانشگاه تهران برگزار می کند:* کودکان امروز با پیام‌های جنسی در فیلم‌ها، تبلیغات و فضای مجازی بمباران می‌شوند. اگر ما به آنها آموزش ندهیم، دیگران آموزش خواهند داد؛ آن هم به شکلی که ممکن است بسیار آسیب‌زا باشد. ✅ شرکت در این کارگاه به معنی انتخاب آگاهی به جای سردرگمی است. برگزارى به‌صورت آنلاین 📅 روزهای دوشنبه ⏰ *ساعت* ۹ الی ۱۲ 📆 *شروع*: *۵ مرداد* ماه ۱۴٠۵ 📜 همراه با ارائه گواهی معتبر 🧕*مدرس*: خانم نفیس

15 Jul 2026, 19:20 UTC≈4,400 viewsread 3 September 2026
Forwarded from @UTworkshopsPhoto

🔷 مرکز مشاوره دانشگاه تهران با همکاری دفتر مشاوره و سلامت وزارت علوم، تحقیقات و فناوری برگزار میکند: 🛑 وبینار آموزشی: بررسی کتاب مغز رفیق باز 🟣 مدرس: معصومه رفعتی راد 🗓 تاریخ برگزاری:۲۸تیر ۱۴۰۵ ⏰ ساعت: ۱۶ الی ۱۸ 🔹لینک ثبت نام و شرکت در وبینار h

Showing the 12 most recent of 27 posts we hold for @UTcounseling. 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.

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 18 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.

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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

آرشیو وبینارهای علوم پزشکی ایران
@un_iums_Archive · 12,838
#1
کوی‌ستان
@Kooyestan · 42,792
#2
اساتید دانشگاه تهران
@UTeacherz · 17,883
#3
اطلاع رسانی مرکز مشاوره دانشگاه علوم پزشکی ایران
@un_iums · 12,860
#4
دانشگاه تهران
@UT_NEWSLINE · 55,665
#5
Ut.learning
@Ut_learning · 11,232
#6
شبکه دانشگاه تهران UTV
@Ut_internet_tv · 25,304
#7
همیار دانشگاه تهران
@hamyarUT · 23,711
#8
رسانه دانشگاه تهرانی ها
@ut_newss · 14,327
#9
ut. Psychology workshop
@ut_workshop · 5,906
#10
روعان | روان‌شناسی و علوم تربیتی ایران
@psyedumedia · 19,978
#11
انجمن علمی روان‌شناسی شهید بهشتی
@sbu_psychology_association · 9,590
#12
Brain Gym|باشگاه مغز
@bashgahmaghz · 8,061
#13
انجمن علمی علوم کامپیوتر دانشگاه تهران
@UTCS_SA · 2,744
#14
دانشجویان تهران
@Tehran_daneshjoo · 2,957
#15
همياران سلامت روان دانشگاه تهران
@UThamyaran · 383
#16
فنی کدگان
@FanniKadegan · 13,568
#17
انجمن علمی مشاوره شهید بهشتی
@moshavere_sbu · 4,941
#18
انجمن علمی روان‌شناسی دانشگاه زنجان
@znu_psy · 711
#19
خوابگاه یوتی
@khabgahut · 16,901
#20
انجمن علمی گروه روانشناسی دانشگاه تربیت مدرس
@TMUPA · 1,035
#21
کانال اعتياد و آسيب‌هاى روانى
@addictionsymposiums · 1,308
#22
پارک علم و فناوری دانشگاه تهران
@ut_stp · 4,365
#23
انجمن علمی مشاوره دانشگاه تهران
@Counseling_PsUT · 2,641
#24
راهنمای انتخاب واحد 🔦
@rahnama_psy · 1,560
#25
کلوزآپ روانشناسی
@Closeup_psychology · 69,735
#26
انجمن علمی مغز و شناخت دانشگاه تهران
@UT_Brain_Cognition · 3,187
#27
CE Mohemmat
@CE_Mohemmat · 4,245
#28
انجمن علمی رو‌‌‌‌ان‌شناسی دانشگاه تهران
@PsyAssoc_UT · 8,491
#29
CEUT401
@CEUT_401 · 853
#30
کلوزآپ درمان شناختی رفتاری [CBT]
@Closeup_cbt · 12,845
#31
EEUT99
@ee_ut99 · 703
#32
گروه روان‌شناسی دالان
@Dalan_group · 4,934
#33
دوره جویان
@dorejouyaan · 1,953
#34
همایش‌های علمی انجمن علمی روان‌درمانی ایران
@congressIPA · 2,000
#35
انجمن علمی اقتصاد دانشگاه تهران
@anjomaneghtesad · 6,263
#36
آکادمی دنیای شناخت
@CognitionWorld · 8,595
#37
باشگاه دانشجویان دانشگاه تهران
@utstudentsunion · 7,542
#38
●سایکوتایم●
@Psycho_time1 · 767
#39
Ut.ac
@ut_ac · 39,019
#40
راچونه...پلّه‌ای به بام تفکّر
@rachoone · 465
#41
انجمن علمی علوم تربیتی دانشگاه شاهد
@ES_TSU_SHAHED · 465
#42
انجمن علمی روان‌شناسی دانشگاه اصفهان
@UIPSYA · 5,126
#43
کانال رسمی سازمان نظام روان‌شناسی و مشاوره کشور
@pcoiran_official · 13,678
#44
راهنمای دانشگاه تهران
@UT_Guide · 5,561
#45
جلسه به جلسه با سای پروتکلیسم
@PsyProtokolism · 9,975
#46
UT Apply Channel
@UTApply · 8,385
#47
نورو|Neuro
@neurophysic · 2,267
#48
کلوزآپ رشته مشاوره
@Closeup_counseling · 8,812
#49
نشر روان‌ آموز | مرجع تخصصی کنکور ارشد و دکتری روانشناسی
@ravanamooz · 22,797
#50
UT MSCS
@UT_MSCS · 1,897
#51
انجمن علمی روان‌شناسی دانشگاه علامه طباطبایی
@psychology_atu · 5,969
#52
انجمن علمى روان‌شناسى محقق اردبيلى
@Uma_psychology · 1,033
#53
دانشکدگان فارابی دانشگاه تهران
@ut_farabi · 3,831
#54
کارگاه های تخصصی رواندرمانی و مشاوره
@PsychologyWorkshops · 14,092
#55
رنگین کمان
@ranginkaman96 · 2,992
#56
TechRasa فارسی
@TechRasaFarsi · 7,632
#57
مانالوگ
@manaloguee · 524
#58
مشاوره كنكور (زرينچه)
@Konkurzarincheh · 517 (as read 15 September 2026)
#59
دوره های دانشگاه علامه طباطبائی
@atumaharat · 19,067
#60
Ferik's Cave
@ferikscave · 1,104
#61
کانال اطلاع رسانی دفتر آموزش دانشکده مهندسی برق و کامپیوتر (مقطع کارشناسی)
@UTECE_undergraduate · 2,363
#62
ابزارهای دیجیتال مارکتینگ | گاماس‌گاماس
@gamasgamas_com · 1,377
#63
ریک سانچز 🤍 اطلاع‌رسانی رویدادها
@M4tinBeigi_Events · 606
#64
انجمن روانشناسی ایران
@iranpsyasso · 24,542
#65
MYDMC دوره آنلاین بازاریابی دیجیتال
@mydmc · 2,501
#66
آکادمی روان تحقیق
@Psycho_Research_Academy · 4,911
#67
دكتر فیروزآبادی
@alifiroozabadi1344 · 1,469
#68
صراط
@utserat · 962
#69
modern cogitation (Archive)
@modern_cogitation_archive · 4,015
#70
توییتر بهشتی
@sbutweet · 7,040
#71
UT ACM
@ut_acm · 3,633
#72
«خبرنامه دانشكده محيط زيست»
@ut_env · 1,465
#73
🔸 Guilan Math 🔸
@Guilan_Math · 1,166
#74
آکـــادمی رواندرمـــانی
@psychotherapy1 · 5,455
#75
روان‌کاوی زندگی روزمره
@freudisalive · 9,907
#76
اندیشکده حکمرانی دانشگاه اصفهان
@UI_thinktank · 372
#77
انجمن علمی علوم تربیتی دانشگاه خوارزمی
@edukhu · 1,545
#78
🧠انجمن علوم شناختی دانشگاه فردوسی مشهد🧠
@cognitive_science_FUM · 3,167
#79
دانشکده ریاضی، آمار و علوم کامپیوتر
@MSCS_news · 2,791
#80
کارگروه آموزشی دانشکده مهندسی برق و کامپیوتر
@ECE_edu_committee · 1,682
#81
نشست‌های گفتار و انديشه
@Goftar_Andisheh · 2,575
#82
پاتوق‌های دیالوگوس
@patoqfarhangi · 3,178
#83
EHIA
@ehiatums · 7,351
#84
اهالی کلمه
@kaaarobar · 2,870
#85
روان پژوهان
@ravanpazhouhan · 7,777
#86
Modir 87+19
@modir87 · 5,159
#87
انجمن علمى علوم مهندسى
@saengsci · 969
#88
گردان روان
@gardanravan · 1,476
#89
آکادمی همراه اول
@hamrah_academy · 11,931
#90
انجمن علمی دانشجویی اقتصاد شریف
@SharifEconAA · 7,491
#91
کلوزآپ سوپرویژن روانشناسی
@Closeup_supervision · 15,474
#92
💞 همدل با تو 💞
@Hamdel_Ba_To · 16,076
#93
𝐃𝐫. 𝐀𝐫𝐬𝐚𝐥𝐚𝐧 𝐁𝐚𝐫𝐞𝐤𝐚𝐭
@psychologymagazines · 4,891
#94
IEEE UT Student Branch
@ieee_ut · 1,640
#95
هوش مصنوعی - رضا شکرزاد
@DSLanders · 12,558
#96
باشگاه گردشگری دانشگاهیان(UT Safar)
@utsafar · 11,248
#97
گروه کوهنوردی و طبیعت گردی
@ut_mscs_mountaineering · 582
#98
فیزیکوه🏔
@physmount · 3,607
#99

Read from Telegram’s recommendation API, most recently 15 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

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.

شبکه دانشگاه تهران UTV
@Ut_internet_tv · 25,304
Telegram ranks this channel #50 of 92 here — alongside 91 others — read 14 September 2026
انجمن روانشناسی ایران
@iranpsyasso · 24,542
Telegram ranks this channel #72 of 97 here — alongside 96 others — read 16 September 2026
کتابخانه روانشناسی تخصصی
@Psychological_Tools · 44,880
Telegram ranks this channel #82 of 95 here — alongside 94 others — read 28 August 2026

This channel appears in 3 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 15 September 2026 — this entry's latest reading, not the date you are reading this.

“مرکز مشاوره دانشگاه تهران” (@UTcounseling), 24,638 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/UTcounseling.

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.