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 92% 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
31 measurements spanning 49 days, net +516. 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 19,775–20,453 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 31
Measured (UTC)
Subscribers
Change
25 Sept 2026, 20:37
20,375
+48
17 Sept 2026, 07:55
20,327
+136
15 Sept 2026, 05:59
20,191
-1
13 Sept 2026, 11:42
20,192
-2
11 Sept 2026, 16:36
20,194
-5
9 Sept 2026, 05:18
20,199
-1
5 Sept 2026, 17:56
20,200
-4
3 Sept 2026, 15:20
20,204
-4
2 Sept 2026, 08:37
20,208
+137
1 Sept 2026, 10:18
20,071
-3
31 Aug 2026, 11:35
20,074
+3
30 Aug 2026, 12:54
20,071
-6
29 Aug 2026, 11:28
20,077
-4
28 Aug 2026, 10:04
20,081
-4
27 Aug 2026, 08:16
20,085
+138
26 Aug 2026, 07:25
19,947
+3
25 Aug 2026, 06:05
19,944
+1
22 Aug 2026, 15:55
19,943
-3
21 Aug 2026, 08:49
19,946
-1
20 Aug 2026, 11:45
19,947
first reading
Engagement
39 posts held, back to 14 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 59 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
2.88%
avg views ÷ 20,375 subscribers
Avg views / post
586
12 posts measured
Reaction rate
0.821%
reactions ÷ views · ER floor
Posts in window
12
of 39 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 11 of 12 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 1 September 2026
Posts held
39 (14 July 2026 – 1 September 2026)
Views total
7,034
Reactions total
57
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 00:52 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
9h 12m
Average length
18m 24s
Measured directly from 30 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
166 reactions across 31 posts, in 5 distinct kinds. The most used accounts for 85.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
142
85.5%
👍
16
9.64%
👏
6
3.61%
👌
1
0.602%
😁
1
0.602%
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 32 of the 39 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 166 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 39 most recent posts we hold, published 14 July 2026 to 1 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.
📌کارگاههای رایگان،دکترمکری،دکتر حمیدپور،دکترصاحبی،معیار اروتیک بودن زنان،دکتر پیری،اخذ پروانه سازمان نظام، سوالات آزمون صلاحیت،استخدام فوری روانشناس،ACT،""پاپالیا کاپلان پروچاسکا کرین آمار روش تحقیق""،مقاله و پایان نامه روانشناسی ،CBT،پرسشنامهMMPI، NEO ، فیلم جلسات درمان یالوم ،عزت نفس ناتانیل براندان ، مارتین سلیگمن،کتابهای روانشناسی و روانپزشکی،روانکاوی و روانپویشی، نوروساینس، pdf روانشناسی📌
https://t.me/addlist/…
🍿 چگونه خانه را در ۱۲ دقیقه مرتب کنیم: ۱۲ عادت ژاپنی که همهچیز را تغییر میدهد!
@psychology_movie1
❤2👏1
Showing the 12 most recent of 39 posts we hold for @psychology_movie1. 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
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.
کتابخانه روانشناسی و روانپزشکی @ravanketabb · 23,192#1
Read from Telegram’s recommendation API, most recently 27 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.
درمان شناختی رفتاری CBT @CBTRAVAN1 · 22,511 Telegram ranks this channel #4 of 88 here — alongside 87 others — read 20 September 2026
کتابخانه روانشناسی و روانپزشکی @ravanketabb · 23,192 Telegram ranks this channel #4 of 85 here — alongside 84 others — read 19 September 2026
پرسشنامه روانشناسی و مشاوره @psy_azmoon · 34,821 Telegram ranks this channel #4 of 81 here — alongside 80 others — read 3 September 2026
کتابهای روانشناسی و روانپزشکی @psyologistravanbook · 22,334 Telegram ranks this channel #5 of 94 here — alongside 93 others — read 21 September 2026
دکتر آذرخش مُکری @drazarakhsh_makri · 31,633 Telegram ranks this channel #5 of 86 here — alongside 85 others — read 6 September 2026
جزوات کنکوری روانشناسی @jozveravan1 · 22,670 Telegram ranks this channel #7 of 87 here — alongside 86 others — read 20 September 2026
کتابخانه روانشناسی @ketabb_khaneh · 39,565 Telegram ranks this channel #7 of 82 here — alongside 81 others — read 31 August 2026
طرحواره درمانی @tarhvaredarmani1 · 22,214 Telegram ranks this channel #9 of 89 here — alongside 88 others — read 21 September 2026
کارگاههای روانشناسی رایگان @voicepsycology · 30,522 Telegram ranks this channel #10 of 89 here — alongside 88 others — read 7 September 2026
استخدام روانشناسان و مشاوران @estekhdam_psy · 21,936 Telegram ranks this channel #40 of 80 here — alongside 79 others — read 22 September 2026
دکتر علی صاحبی @drali_sahebi · 21,411 Telegram ranks this channel #43 of 83 here — alongside 82 others — read 24 September 2026
LianPing | لیان پینگ @LianPingCh · 56,575 Telegram ranks this channel #58 of 64 here — alongside 63 others — read 9 September 2026
کنکور ارشد روانشناسی و مشاوره @teacher_department · 20,936 Telegram ranks this channel #59 of 95 here — alongside 94 others — read 25 September 2026
کاپلانخوانی @kaplansadockk · 37,404 Telegram ranks this channel #87 of 97 here — alongside 96 others — read 1 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 25 September 2026 — this
entry's latest reading, not the date you are reading this.
“فیلم کوتاه روانشناسی” (@psychology_movie1), 20,375 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/psychology_movie1.
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.
