9 measurements spanning 8 days, net -18. 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 37,556–37,583 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Aug 2026, 22:05
37,562
+3
13 Aug 2026, 11:13
37,559
-2
12 Aug 2026, 09:15
37,561
-8
11 Aug 2026, 09:48
37,569
-4
10 Aug 2026, 09:12
37,573
-3
9 Aug 2026, 05:52
37,576
+12
8 Aug 2026, 07:50
37,564
-16
7 Aug 2026, 08:45
37,580
no change
7 Aug 2026, 08:37
37,580
first reading
Engagement
24 posts held, back to 19 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 26 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
19.3%
avg views ÷ 37,562 subscribers
Avg views / post
7,240
10 posts measured
Reaction rate
0.275%
reactions ÷ views · ER floor
Posts in window
10
of 24 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 15 August 2026
Posts held
24 (19 June 2026 – 15 August 2026)
Views total
72,406
Reactions total
199
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
15 Aug 2026, 13:24 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
Photos
368
Videos
127
Links
33
Lifetime counters from Telegram’s own channel header, read 15 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
11m 40s
Average length
2m 55s
Measured directly from 4 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
596 reactions across 23 posts, in 6 distinct kinds. The most used accounts for 76.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
453
76.0%
🔥
52
8.72%
🕊
36
6.04%
💔
26
4.36%
😍
25
4.19%
👎
4
0.671%
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 23 of the 24 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 596reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 24 most recent posts we hold, published 19 June 2026 to 15 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.
🟣آخرین دوره امسال شروع دوره سه شنبه🟣
🎓🔵🎓🔵🎓🔵
🔵*کارگاه جامع تربیت مشاور تحصیلی و انتخاب رشته *
🔴دوره 34 ام
🔵مدرس: *دکتر مهدی عرب زاده*
✅عضو هیئت علمی دانشگاه خوارزمی
❌ شروع دوره از سهشنبه 27 مرداد 1405
⏳روزهای برگزاری دوره: سهشنبه ها (یک هفته در میان) از ساعت 15 الی 18
⏳مدت دوره:
*170 ساعت* آموزشی شامل :
70 ساعت ویدئوی آموزشی آفلاین دوره مقدماتی (مفاهیم،اصول و کلیات)
52 ساعت ویدئوی آموزشی آفلاین دوره پیشرفته …
🔥 از تئوریهای دانشگاه تا مهارت واقعی در اتاق درمان!
🔅بهجای صرف هزینه و زمان برای دورههای پراکنده، هر ۳ مسیر تخصصی را یکجا و کاربردی بیاموزید:
▪️تربیت درمانگر شناختی رفتاری کودک
▪️تربیت درمانگر شناختی رفتاری نوجوان
▪️ تربیت جنسی
🌱 با تدریس دکتر محمدحسن نادری، مدرس کشوری روانشناسی کودک و نوجوان.
✅ ویژگیهای دوره:
عضویت دائمی در گروه سوپرویژن + دسترسی همیشگی به فایلها و اسلایدها + معرفی کتابهای کاربردی هر اخ…
🤔آیا تا به حال فکر کردهاید چرا بعضی افراد در روابطشان بیش از حد وابسته میشوند؟
🩵یکی از پاسخهای مهم این سؤال در سبکهای دلبستگی دوران کودکی نهفته است؛ بهویژه دلبستگی ناایمن که میتواند زمینهساز شکلگیری اختلال شخصیت وابسته باشد.
🫂در این ویدئو با انواع سبکهای دلبستگی آشنا میشویم و بررسی میکنیم که هر کدام چگونه بر رشد شخصیت، کیفیت روابط بینفردی و حتی بروز برخی اختلالات شخصیت در بزرگسالی اثر میگذارند.
🟣 @kap…
#خلاصه⭐️
در این فایل، بهصورت دقیق و خلاصه، مهمترین نکات اختلال شخصیت وابسته رو از دید کاپلان بررسی کردیم:
🔺ویژگیهای شخصیتی
🔻 ملاکهای DSM-5
🔺 افتراق با سایر اختلالات
🔻 نکات بالینی برای فهم بهتر
✍️اگر فرصت خوندن کامل کاپلان رو
نداری، این خلاصه میتونه خیلی مفید باشه
🟣 @kaplansadockk
#اموزش_اختلال🎀
✨ اختلال شخصیت وابسته✨
⭐️Dependent Personality Disorder⭐️
😔 وقتی برای کوچکترین تصمیمها هم احساس میکنی بدون نظر دیگران نمیتونی کاری انجام بدی…
💔 وقتی از ترس تنها ماندن، حتی در روابط ناسالم هم میمونی…
⚠️ اینها فقط بخشی از چالشهایی هستند که افراد مبتلا به اختلال شخصیت وابسته تجربه میکنند.
☕️ در این ویس به آموزش کامل اختلال شخصیت وابسته پرداختهام
🟣 @kaplansadockk
#ویدیو_آموزشی📹
❗️اختلال شخصیت وابسته گاهی اوقات خودشو به این شکل نشون میده !
🤷♀️شما در مورد این اختلال چی میدونید؟
💡قراره در پست های بعدی به آموزش مفصل ایناختلال بپردازیم
🟣 @kaplansadockk
#معرفی_اختلال 💁♀️
❗️اختلال شخصیت وابسته
Dependent Personality Disorder
✨نوعی اختلال شخصیت از کلاستر C است، که در آن فرد بهطور مداوم و شدید به دیگران برای دریافت حمایت، مراقبت و تصمیمگیری تکیه میکند.
🚶♀️این افراد معمولاً از تنهایی، ترکشدن و از دست دادن حمایت دیگران میترسند و ممکن است برای حفظ رابطه، نیازهای خود را نادیده بگیرند یا در بیان مخالفت و مستقل عمل کردن دچار مشکل شوند.
🔹 نکته مهم: وابستگی در این …
🌱آموزش مبحث اختلال شخصیت اجتنابی تمومشد، حالا ببینیم چقدر نکات مهمش تو ذهنتون مونده
😍چند تست کوتاه و مفهومی آماده کردم که هم نکات این اختلال براتون مرور بشه و هم یه محک خوب برای یادگیری شما باشه
#معرفی_فیلم🌱
💥ترس از قضاوت، احساس بیارزشی و اجتناب از روابط، بخشی از تجربه افرادی است که با اختلال شخصیت اجتنابی زندگی میکنند.
💡در این پست چند فیلم معرفی شده که میتوانند به درک بهتر دنیای درونی این افراد کمک کنند.
⚠️ البته این شخصیتها لزوماً مبتلا به اختلال شخصیت اجتنابی نیستند و فیلمها صرفاً از نظر شباهت برخی ویژگیها معرفی شدهاند، نه برای تشخیص.
💬 شما چه فیلم دیگری میشناسید که به این اختلال نزدیک باشد؟
…
#نکته_آموزشی 🔋
✨یکی از ویژگیهای مهم اختلال شخصیت اجتنابی، «حساسیت به طرد» است.
🌀 یعنی فرد حتی نشانههای خنثی یا مبهم دیگران (مثل دیر جواب دادن به پیام یا اخم کردن) را ممکن است بهعنوان نشانهای از رد شدن یا دوستنداشتنیبودن تفسیر کند.
🕊همین تفسیر باعث میشود از موقعیتهای اجتماعی دوری کند و این اجتناب، باورهای منفی او را تقویت میکند
🟣 @kaplansadockk
❤35🕊1
Showing the 12 most recent of 24 posts we hold for @kaplansadockk. 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.
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
@kaplansadockk 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.
@kaplansadockn named in 3 posts, 8 August 2026 – 10 August 2026
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 14 August 2026 — this
entry's latest reading, not the date you are reading this.
“کاپلانخوانی” (@kaplansadockk), 37,562 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/kaplansadockk.
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.