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 25 September 2026 and assigned it the closest of 31 fixed categories, at 82% 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
5 measurements spanning 19 days, net +78. 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 77–181 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
19 Sept 2026, 17:59
167
-2
10 Sept 2026, 09:21
169
+78
1 Sept 2026, 10:58
91
+2
1 Sept 2026, 00:30
89
no change
1 Sept 2026, 00:16
89
first reading
Engagement
16 posts held, back to 17 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 1 page of Telegram’s post history, 20 posts per page.
ERR · 30 days
16.8%
avg views ÷ 167 subscribers
Avg views / post
28.0
2 posts measured
Reaction rate
12.5%
reactions ÷ views · ER floor
Posts in window
2
of 16 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
Window
Rolling 30 days · latest post in window 30 August 2026
Posts held
16 (17 February 2026 – 30 August 2026)
Views total
56
Reactions total
7
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
1 Sept 2026, 00:30 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.
Reaction mix
69 reactions across 14 posts, in 6 distinct kinds. The most used accounts for 39.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
27
39.1%
👏
16
23.2%
😍
14
20.3%
👍
5
7.25%
🙏
5
7.25%
👌
2
2.90%
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 14 of the 16 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 69 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 17 February 2026 to 30 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.
✨️ شما ترجیح میدین
رول پلی رو ببینین و تحلیل کنین،
یا
خودتون اجرای نقشها رو تجربه کنین؟!
🎭 توی سایکوروم ۱) اضطراب اجتماعی،
ما اجرا میکنیم،
شما میبینین،
ایرادها رو پیدا میکنین،
سوالهاتونو میپرسین،
یاد میگیرین...
و آماده میشین که اگه خواستین جلسات بعدی، شما اجرا کننده نقش درمانگر یا مراجع باشین 😍
برای حضور توی جلسات سایکوروم، کافیه پیام بدین: @psychoroom_admin
⁉️چرا بعضی مراجعها با اینکه دقیقاً میدونن مشکلشون چیه، باز هم نمیتونن تغییرش بدن؟
✨️چون «دانستن» با «توانستن» فرق داره.
ممکنه مراجع بدونه که مثلاً اجتناب کردن، اضطرابش رو بیشتر میکنه؛
اما وقتی دوباره با موقعیت اضطرابزا روبهرو میشه، شدت اضطراب باعث میشه همون رفتار قبلی رو تکرار کنه.
❌️پس صرفاً آگاهی از مشکل، برای ایجاد تغییر کافی نیست…
اینجاست که نقش درمانگر فقط «گوش دادن» یا «توضیح دادن» نیست.
درمانگر کم…
⁉️ یه سوال
فرض کن فردا اولین مراجعت وارد اتاق درمان میشه...
بیشتر بابت چی نگرانی؟
🔘 جلسه رو چطور شروع کنم
🔘 چطور با مراجع ارتباط برقرار کنم
🔘 اگه سوالی پرسید و جوابشو نمیدونستم چیکار کنم
🔘 تکنیکهایی که خوندم رو چطور اجرا کنم
✨️ میدونستی همه چی آمادهست تا تو با رول پلی همه اینا رو تمرین کنی و یاد بگیری؟
با این لینک وارد اتاق سایکوروم بشین🚪
http://meshkat.iau.ir/c/28431
🌐 شبکههای اجتماعی سایکوروم:
کانال تل…
🎭 سایکوروم (۱) اضطراب اجتماعی
این بار قرار نیست فقط درباره درمانِ اضطراب اجتماعی صحبت کنیم؛ قرار است آن را در عمل ببینیم و تمرین کنیم.
در این دوره، با استفاده از Role Play، وارد فضای واقعی فرایند درمان میشویم و مسیر درمان را از پذیرش مراجع تا آخرین جلسه درمان بهصورت عملی تجربه میکنیم.
✔️ کاربست تئوری در عمل
✔️ تمرین نقش درمانگر در فضای آموزشی
✔️ محیط امن برای تمرین، آزمون و خطا
✔️ تحلیل و دریافت بازخورد از استا…
⏳️ یک تغییر کوچیک در زمانبندی سایکوروم
بهدلیل محدودیت فرصت ثبتنام و درخواست شما، برنامهای که قرار بود ۲ شهریور برگزار بشه، با تأخیر برگزار خواهد شد.
🗓️ تاریخ جدید جلسه دوم: ۱۶شهریور
🗓 تاریخ جدید جلسه سوم:۲۳شهریور
پس قرارمون همچنان سر جاشه؛ فقط با یکم تأخیر 🤍
منتظرتونیم برای یک تجربه متفاوت و عملی در سایکوروم 🧠✨
هر سوالی دارین با کمال میل پاسخگو هستیم🌱⬇️
@psychoroom_admin
🗣 تکنیک انعکاس (Reflection) یعنی درمانگر بخش مهمی از حرف یا احساس مراجع را به خودش برمیگرداند تا نشان دهد حرف او را فهمیده و کمک کند مراجع بهتر احساس و تجربهاش را بررسی کند.
+مراجع: «هر وقت میخوام جلوی بقیه حرف بزنم، حس میکنم همه دارن منو قضاوت میکنن.»
_درمانگر: «انگار بیشتر از خودِ صحبت کردن، نگرانیِ قضاوت شدن اذیتت میکنه.»
اینجا درمانگر نه نصیحت کرده، نه راهحل داده؛ فقط احساس و معنای حرف مراجع را منعکس کرده…
🪧 دورههای تخصصی سایکوروم
🎙صدای یادگیری
این قسمت:
🗣 تکنیک انعکاس باعث میشه مراجع حس کنه توسط یک انسان شنیده و فهمیده شده!
👨🏫 مدرس: دکتر وکیل نظری
🌐 شبکههای اجتماعی سایکوروم:
کانال تلگرام
https://t.me/PsychoRoomMeetings
پیج اینستاگرام
https://www.instagram.com/_psychoroom?igsh=MXRyZm04MzN3NnA4Zw==
🪧 یه سؤال مهم:
اگر فردا اولین مراجعتون با اضطراب اجتماعی وارد اتاق درمان بشه،
✔️ میدونید جلسه رو از کجا شروع کنید؟
✔️ چه سؤالی بپرسید؟
✔️ چه چیزهایی رو بررسی کنید؟
✔️کجا باید بیشتر گوش بدید و کجا مداخله کنید؟
❗️دانستن تئوری با توانایی اجرای اون در جلسه درمان، یکی نیست.
و دقیقاً همین فاصله، چیزیه که توی سایکوروم روی اون کار میکنیم. 🎭
❇️ جلسه دوم و سوم درمان اضطراب اجتماعی رو از دست ندین!
فایل تصویری جلسه اول، هد…
🎭 سایکوروم (۱) اضطراب اجتماعی
این بار قرار نیست فقط درباره درمانِ اضطراب اجتماعی صحبت کنیم؛ قرار است آن را در عمل ببینیم و تمرین کنیم.
در این دوره، با استفاده از Role Play، وارد فضای واقعی فرایند درمان میشویم و مسیر درمان را از پذیرش مراجع تا آخرین جلسه درمان بهصورت عملی تجربه میکنیم.
✔️ کاربست تئوری در عمل
✔️ تمرین نقش درمانگر در فضای آموزشی
✔️ محیط امن برای تمرین، آزمون و خطا
✔️ تحلیل و دریافت بازخورد از استا…
📣 سایکوروم همتیمی جدید میپذیرد!
💡اگه دانشجو یا فارغالتحصیل روانشناسی هستی و از عهده کارهای گرافیکی و تولید محتوا برمیای، جات تو تیم سایکوروم خالیه!
ما به دنبال فردی هستیم که خلاق✨️، مسئولیتپذیر🤝🏼، جزئینگر🔍 و علاقمند به کار تیمی👥️ باشه.
📋 شرح همکاری: ساخت کلیپ، تهیه و تدوین مطالب روانشناسی، طراحی پوستر و...
📥 اگه فکر میکنی این موقعیت برات مناسبه، رزومه یا نمونه کارت رو از طریق آیدی تلگرامی @psychoroom_admin ب…
Showing the 12 most recent of 16 posts we hold for @PsychoRoomMeetings. 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 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.
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.
“PsychoRoom” (@PsychoRoomMeetings), 167 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/PsychoRoomMeetings.
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.