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 12 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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 the other topics.
Growth
26 measurements spanning 94 days, net +870. 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 5,221–6,818 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)
Subscribers
Change
9 Nov 2026, 21:15
6,511
-37
6 Nov 2026, 16:46
6,548
-20
3 Nov 2026, 08:20
6,568
+24
31 Oct 2026, 13:45
6,544
-90
28 Oct 2026, 03:10
6,634
+429
24 Oct 2026, 16:29
6,205
-117
21 Oct 2026, 21:46
6,322
-60
18 Oct 2026, 20:08
6,382
-90
16 Oct 2026, 03:27
6,472
+427
13 Oct 2026, 08:56
6,045
-204
6 Oct 2026, 21:56
6,249
-205
30 Sept 2026, 00:00
6,454
+409
19 Sept 2026, 13:02
6,045
-81
14 Sept 2026, 18:55
6,126
-100
11 Sept 2026, 00:39
6,226
-61
6 Sept 2026, 03:41
6,287
-48
2 Sept 2026, 04:38
6,335
-37
30 Aug 2026, 10:45
6,372
+967
27 Aug 2026, 01:56
5,405
-26
24 Aug 2026, 01:13
5,431
first reading
Engagement
44 posts held, back to 22 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 15 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
77.6%
avg views ÷ 6,511 subscribers
Avg views / post
5,050
23 posts measured
Reaction rate
1.98%
reactions ÷ views · ER floor
Posts in window
23
of 44 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 8 November 2026
Posts held
44 (22 July 2026 – 8 November 2026)
Views total
116,150
Reactions total
2,296
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
9 Nov 2026, 10:40 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
3,762 reactions across 43 posts, in 11 distinct kinds. The most used accounts for 62.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
2,368
62.9%
👏
519
13.8%
😍
428
11.4%
🔥
424
11.3%
🫡
7
0.186%
😢
6
0.159%
👍
3
0.08%
💯
3
0.08%
❤🔥
2
0.053%
⚡
1
0.027%
🙏
1
0.027%
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 43 of the 44 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 3,762 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 44 most recent posts we hold, published 22 July 2026 to 8 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 3 of 23 posts held from the last 30 days (13.0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
👍 ایگوپدیا ← سهگانهی تنهایی: اسکیزوئید، اجتنابی یا اضطراب اجتماعی؟
خیلیوقتها آدمهایی رو میبینیم که ساکتن، از جمع فراریان یا ترجیح میدن همیشه تنها باشن. شاید از بیرون شبیه هم به نظر بیان، اما گول ظاهر رو نخورید👀
دلیل اینکه هر کدومشون ترجیح دادن برن تو لاک خودشون، زمین تا آسمون با هم فرق داره. بیایم خیلی خلاصه پروندهشون رو باز کنیم:
1⃣ شخصیت اسکیزوئید | «من اصلاً نیازی به آدمها ندارم»
ماجرا چیه؟ این فرد تر…
⏳ فقط ۱۰ ساعت تا پایان مهلت ثبتنام طرح بورسیه آکادمی ایگو باقی مونده...
این پیام، آخرین یادآوری برای ثبتنام در طرح بورسیهست.
بعد از تموم شدن مهلت، دیگه امکان ثبتنام جدید وجود نداره و بخش بورسیه از پنل کاربری افرادی که ثبتنام نکردن، حذف میشه❌
یه نکته مهم برای عزیزانی که ثبتنام کردن:
حتماً دقت کنید که ثبتنام شما فقط با ثبتنام اولیه در سایت تکمیل نمیشه. باید روی لینک فرم بورسیه که داخل سایت قرار گرفته هم ک…
👍 ایگوپدیا ← انواع تقویت و تنبیه در یادگیری
1⃣ تقویت مثبت؛ جایزه گرفتن برای تکرار رفتار.
تقویت مثبت یعنی ارائه یک محرک خوشایند بلافاصله بعد از انجام یک رفتار، تا اون رفتار در آینده بیشتر تکرار بشه.
مکانیسم اثر ← اضافه کردن یک پاداش یا محرک دلخواه به محیط فرد.
مثال ← دانشآموز درس میخونه و نمرهی ۲۰ میگیره، پدر و مادر براش اسباببازی مورد علاقهاش رو میخرند. وجود این جایزه باعث میشه بچه دوباره تشویق بشه که درس بخ…
✔️طرح بورسیه مشاوره کنکور ارشد روانشناسی ۱۴۰۶ آکادمی ایگو✔️
فرصتی برای داوطلبانی که توان مالی محدودتری دارن، ولی برای آیندهشون تلاش میکنن🤌
ما در آکادمی ایگو معتقدیم که محدودیت مالی نباید مانع استفاده از یک مسیر اصولی برای آمادگی کنکور بشه. به همین دلیل، طرح بورسیه رو برای همراهی با داوطلبانی طراحی کردیم که با وجود شرایط مالی دشوار، انگیزه، پشتکار و تعهد کافی برای پیشرفت دارن🤝
💎 ویژگیهای طرح بورسیه:
🗓 برنامهر…
بچههای ارشد روانشناسی، یه خبر ویژه داریم براتون...👀
نمیدونید چقدر منتظر بودم این خبر رو باهاتون به اشتراک بذارم🫠
فردا ساعت ۱۶ یه خبر ویژه از طرف آکادمی ایگو قراره اعلام بشه؛ اتفاقی که میتونه مسیر کنکورتون رو تغییر بده✅
فردا ساعت ۱۶🤝
egoacademia.ir ❤️
🔹 خلاصه مصوبات سیصد و یازدهمین جلسه شورای مرکزی سازمان نظام روانشناسی و مشاوره (۴ آبان ۱۴۰۵) به شرح زیر است:
📤شرایط تحصیلی و ورودیها:
⚪️افرادی که پیش از این مصوبه حداقل یک مقطع مرتبط داشتهاند یا پیش از بهمن ۱۴۰۵ وارد تحصیلات تکمیلی شدهاند، میتوانند برای دریافت پروانه اقدام کنند.
⚪️برای ورودیهای بهمن ۱۴۰۵ و بعد از آن، داشتن تحصیلات مرتبط در هر دو مقطع دانشگاهی الزامی است.
⚪️ نحوه ارزیابی صلاحیت: دانشآموختگان…
👍 ایگوپدیا ← مقایسه توهم و هذیان
1⃣ توهم؛ وقتی «حواسپنجگانه» فریب میخورن.
توهم یعنی اینکه فرد چیزی رو حس کنه که وجود خارجی نداره، اما مغزش اون رو کاملاً واقعی ثبت میکنه.
حوزه درگیریش کجاست؟ سر و کارش با حواس پنجگانهست (بینایی، شنوایی، چشایی، بویایی و لامسه).
مثال ← کسی توی اتاقه و با صدای بلند میگه: «یه گربه داره با من حرف میزنه؛ اونجا وایساده» در حالی که اصلا چیزی اونجا نیست. سیستم بینایی و شنوایی فرد دار…
بعضی از شما نتونستید از طریق سایت خریدتون رو تکمیل کنید. به همین خاطر زمانش رو تا ۱۲ امشب تمدید میکنیم❤️
کسانی هم که موفق شدن و ثبتنام کردن، بهزودی ثبتنامشون تکمیل میشه✅
❤85
Signed حسین محمودیپور
Showing the 12 most recent of 44 posts we hold for @EgoAcademia. 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 4 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.
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 9 November 2026 — this
entry's latest reading, not the date you are reading this.
“آکادمی ایگو | کنکور ارشد روانشناسی و مشاوره” (@EgoAcademia), 6,511 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/EgoAcademia.
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.