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 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.
Growth
34 measurements spanning 44 days, net +167. 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 19,040–19,257 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)
Subscribers
Change
19 Sept 2026, 13:41
19,232
+10
17 Sept 2026, 04:38
19,222
+15
15 Sept 2026, 02:39
19,207
-7
13 Sept 2026, 12:38
19,214
+20
11 Sept 2026, 18:41
19,194
+20
9 Sept 2026, 08:00
19,174
+30
5 Sept 2026, 21:18
19,144
+2
3 Sept 2026, 21:19
19,142
+13
2 Sept 2026, 09:34
19,129
-1
1 Sept 2026, 06:55
19,130
+6
31 Aug 2026, 06:44
19,124
-1
30 Aug 2026, 09:44
19,125
-2
29 Aug 2026, 08:12
19,127
+1
28 Aug 2026, 07:55
19,126
+4
27 Aug 2026, 09:37
19,122
-1
26 Aug 2026, 08:16
19,123
-7
25 Aug 2026, 06:34
19,130
+2
24 Aug 2026, 08:42
19,128
+4
22 Aug 2026, 18:56
19,124
+1
21 Aug 2026, 06:03
19,123
first reading
Engagement
172 posts held, back to 25 June 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 59 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
0.827%
avg views ÷ 19,232 subscribers
Avg views / post
159
57 posts measured
Reaction rate
0.519%
reactions ÷ views · ER floor
Posts in window
64
of 172 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. It is computed over the 19 of 57 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 2 September 2026
Posts held
172 (25 June 2026 – 2 September 2026)
Views total
9,071
Reactions total
20
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 01:27 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
14h 27m
Average length
11m 53s
Measured directly from 73 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
50 reactions across 43 posts, in 4 distinct kinds. The most used accounts for 52.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
26
52.0%
❤
19
38.0%
🙏
3
6.00%
👌
2
4.00%
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 47 of the 172 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 50 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 172 most recent posts we hold, published 25 June 2026 to 2 September 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.
🟧▪️درمان کودک آسیب دیده جنسی
شناخت، ارزیابی و درمان
👤 مدرس دکتر حمید مهرابی
دکتری تخصصی سلامت جنسی از دانشگاه لیون فرانسه
🔖همراه با ارائه گواهی معتبر
📚 سرفصلهای کارگاه:
🔹؛ Child Sexual Abuse | سوءاستفاده جنسی از کودک
🔹؛ Pedophilia | پدوفیلیا
🔹 مصاحبه با کودک آسیبدیده و خانواده
🔹 نحوه ارزیابی در مورد کودکآزاری
🔹 آشنایی با پروتکل درمان و مداخلات تخصصی
آسیب جنسی در دوران کودکی میتواند تأثیرات عم…
پُرتال فیلم و کلیپ روانشناسی pinned « ⏳آخرین زمان ثبت نام⏳ 🟥 *سومین دوره جامع ۷۰ ساعته تربیت مربی طرحوارهدرمانگر* 🔰 آموزش تخصصی در دو سطح مقدماتی و پیشرفته 👩🏻🏫 مدرس دوره: 💎 *دکتر فاطمه علیجانی* استاد دانشگاه، مدرس و درمانگر برجسته کشوری 📅 *روز برگزاری: سهشنبهها* 🚩…»
🎓 تدوین پایاننامه روانشناسی؛ از پروپوزال تا دفاع؛ با تضمین کیفیت و همراهی تا آخرین روز
💢 چرا موسسه رویش؟
✔️ کاملترین پکیج: تدوین کامل (پروپوزال، پاورپوینت دفاع و مقاله) با هزینهی بهینه
✔️ تضمین اصلاحات: تمامی اصلاحات اساتید بدون دریافت هزینه
✔️ خدمات رایگان: ثبتنام و بررسی همانندی (Similarity Check)
✔️ پرداخت منعطف: تسویه اقساطی همگام با پیشرفت مراحل پژوهش
✔️ پشتیبانی تخصصی: همراهی مستمر تا لحظه دفاع (با ۱…
🎥آرش افراز، عصب شناس از دانشگاه ام آی تی در کمتر از چهار دقیقه توضیح میدهد که آیا ما اراده آزاد داریم؟
؛༄✿༄✿༄✿༄✿༄✿
🎯 پرتال روانشناسی اینجاست
جهت دسترسی به فیلمهای بیشتر👇
🎞 t.me/PsyPortalMovie
👥 Group: t.me/PortalRavan
instagram.com/Neuroscience_New
🎓🎓 *دوره جامع ۱۰۰ ساعته*
🧠 *«آسیب شناسی روانی و روان درمانی بالینی»*
👈 کاملا کاربردی و کیس محور
📍 مدرس: *دکتر فاطمه علیجانی*
🏆 عضو هیات علمی دانشگاه، مدرس مطرح کشوری با بیش از ۲۸ سال تجربه درمان و آموزش
📅هر هفته، یکشنبه ها
📆شروع دوره: ۱۵ شهریور ماه
⏰ساعت برگزاری: ۱۵:۰۰ الی ۱۹:۰۰
🗂تعداد جلسات: ۲۵ جلسه
💻🌍 *به صورت آنلاین با بهترین کیفیت و امکان پرسش و پاسخ در فضایی ساده و کاربردی*
📜 همراه با سرفصل های کاربرد…
🎓 تدوین پایاننامه روانشناسی؛ از پروپوزال تا دفاع؛ با تضمین کیفیت و همراهی تا آخرین روز
💢 چرا موسسه رویش؟
✔️ کاملترین پکیج: تدوین کامل (پروپوزال، پاورپوینت دفاع و مقاله) با هزینهی بهینه
✔️ تضمین اصلاحات: تمامی اصلاحات اساتید بدون دریافت هزینه
✔️ خدمات رایگان: ثبتنام و بررسی همانندی (Similarity Check)
✔️ پرداخت منعطف: تسویه اقساطی همگام با پیشرفت مراحل پژوهش
✔️ پشتیبانی تخصصی: همراهی مستمر تا لحظه دفاع (با ۱…
🎥در قسمت اول از سری جدید ۳:۵۹، آرش افراز، عصب شناس از دانشگاه ام آی تی، نشان میدهد چشم ما چگونه کار میکند.
؛༄✿༄✿༄✿༄✿༄✿
🎯 پرتال روانشناسی اینجاست
جهت دسترسی به فیلمهای بیشتر👇
🎞 t.me/PsyPortalMovie
👥 Group: t.me/PortalRavan
instagram.com/Neuroscience_New
🎥 فیلم کامل (و در نتیجه قدری سنگینِ) کارگاه «تکامل انسان خردمند»:
✅ گونههای خویشاوند و نیا در خانوادهی هومینیده
✅ جهشهای سیستمی در پیچیدگی مغز و اندامها
؛༄✿༄✿༄✿༄✿༄✿
🎯 پرتال روانشناسی اینجاست
جهت دسترسی به فیلمهای بیشتر👇
🎞 t.me/PsyPortalMovie
👥 Group: t.me/PortalRavan
instagram.com/Neuroscience_New
🟧▪️درمان کودک آسیب دیده جنسی
شناخت، ارزیابی و درمان
👤 مدرس دکتر حمید مهرابی
دکتری تخصصی سلامت جنسی از دانشگاه لیون فرانسه
🔖همراه با ارائه گواهی معتبر
📚 سرفصلهای کارگاه:
🔹؛ Child Sexual Abuse | سوءاستفاده جنسی از کودک
🔹؛ Pedophilia | پدوفیلیا
🔹 مصاحبه با کودک آسیبدیده و خانواده
🔹 نحوه ارزیابی در مورد کودکآزاری
🔹 آشنایی با پروتکل درمان و مداخلات تخصصی
آسیب جنسی در دوران کودکی میتواند تأثیرات عم…
Showing the 12 most recent of 172 posts we hold for @PsyPortalMovie. 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
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 2 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.
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
@PsyPortalMovie 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.
@nahalemclinic named in 2 posts, 9 August 2026 – 10 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.
کتابخانه روانشناسی تخصصی @Psychological_Tools · 44,885 Telegram ranks this channel #18 of 95 here — alongside 94 others — read 28 August 2026
پُرتال کتاب و جزوات روانشناسی @PsyPortalBook · 34,384 Telegram ranks this channel #28 of 97 here — alongside 96 others — read 3 September 2026
VPN | پروکسی ملی @v2FaRayNg · 35,526 Telegram ranks this channel #43 of 61 here — alongside 60 others — read 2 September 2026
انجمن روانشناسی ایران @iranpsyasso · 24,563 Telegram ranks this channel #62 of 97 here — alongside 96 others — read 16 September 2026
کنکور ارشد و دکتری روانشناسی (آکادمی روانتاج 👑) @RavanTajj · 22,019 Telegram ranks this channel #78 of 95 here — alongside 94 others — read 22 September 2026
insight(کنکور ارشد روانشناسی) @insightAcademia · 55,461 Telegram ranks this channel #85 of 96 here — alongside 95 others — read 24 August 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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“پُرتال فیلم و کلیپ روانشناسی” (@PsyPortalMovie), 19,232 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/PsyPortalMovie.
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.