4 measurements spanning 7 days, net +181. 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 7,549–7,784 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 16:18
7,757
+175
10 Aug 2026, 14:54
7,582
+5
7 Aug 2026, 11:28
7,577
+1
6 Aug 2026, 17:33
7,576
first reading
Engagement
33 posts held, back to 2 August 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 11 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
19.8%
avg views ÷ 7,757 subscribers
Avg views / post
1,530
33 posts measured
Reaction rate
2.58%
reactions ÷ views · ER floor
Posts in window
33
of 33 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 12 August 2026
Posts held
33 (2 August 2026 – 12 August 2026)
Views total
50,576
Reactions total
1,306
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 17:19 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
1,306 reactions across 33 posts, in 3 distinct kinds. The most used accounts for 93.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,220
93.4%
👍
52
3.98%
🕊
34
2.60%
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 33 of the 33 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 1,306reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 33 most recent posts we hold, published 2 August 2026 to 12 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.
یکی از علتهاش میتونه چیزی باشه که در روانشناسی اجتماعی بهش «خطای اسناد بنیادی» (Fundamental Attribution Error) میگن. یعنی وقتی رفتار دیگری رو میبینیم، چون معمولا به شرایط و دنیای درونی اون آدم دسترسی کاملی نداریم، راحتتر رفتار رو به ویژگیهای شخصیتی و درونی خودش نسبت میدیم. اما دربارهی رفتار خودمون، اطلاعات بیشتری از نیتها، افکار، احساسات و شرایطی که در اون قرار داشتیم داریم و بنابراین راحتتر میتونیم رفتار…
شما تا حالا به این دقت کردید که گاهی ما دقیقا همونکارهایی رو توی روابطمون انجام میدیم که اگر این رفتار رو در دیگری ببینیم به شدت نکوهشش میکنیم؟ انگار وقتی رفتار مال منه، انجام دادنش برام راحتتر و توجیهپذیرتره. ولی وقتی برای دیگری هست به راحتی میتونم نادرست بودنش رو ببینم.
بعد جلسههای تراپی خودم با درمانگرم انقدر دغدغههای ذهنیم منظم میشه که واقعا حس رهاتری دارم. بعد از هرجلسه اینجوری هستم که تراپی واقعا ورژن آزادتر و رهاتر من رو به خودم نشون میده. بهم نشون میده میتونم به توانمندی خودم بیشتر اعتماد کنم، میتونم قدمهای یکممممم بزرگتری بردارم.
واقعا مواجه شدن با این ورژن رو دوست دارم و بهم احساس قدرت میده.
یادت نره تصویر بزرگتر رو ببینی:
یک روز غمگین، فقط یک روز غمگینه.
یک جلسهی بد، فقط یک جلسهی بده.
یک پروازِ تأخیردار، فقط یک پروازِ تأخیردارِه.
یک اشتباه، فقط یک اشتباهه.
زندگی تو خیلی بزرگتر از یک لحظهست. این تویی که تصمیم میگیری بعدش چی اتفاق بیفته. 🌱
گاهی وقتها انقدر درگیر تحقیق کردن، برنامهریزی کردن، فکر کردن و آماده شدن برای یه کار میشیم که خودِ انجام دادنش رو فراموش میکنیم. هی منتظریم شرایط بهتر بشه، ایدهمون کاملتر بشه، مطمئن بشیم خرابش نمیکنیم، بعد شروع کنیم.
ولی واقعیت اینه که لازم نیست اولین چیزی که میسازی فوقالعاده باشه. لازم نیست از همون اول دنیا رو تکون بدی.
پس این بار بهجای اینکه بیشتر فکر کنی «چی باید بسازم؟» یا «چطور بهتر انجامش بدم؟»، فقط…
خوشبختیِ یک رابطه قرار نیست به این معنی باشه که هیچوقت دعوا نکنیم، ناراحت نشیم یا همدیگه رو نرنجونیم.
اتفاقا رابطهی سالم بیشتر از اینکه در نبودِ تعارض خودش رو نشون بده، در نحوهی مواجههمون با تعارضهاست.
• میتونیم دربارهی احساساتمون حرف بزنیم؟
• میتونیم با وجود تفاوتهامون به هم احترام بذاریم؟
• وقتی همدیگه رو میرنجونیم، میتونیم برگردیم و رابطه رو ترمیم کنیم؟
• هنوز چیزهایی هست که بخوایم با هم بسازیم و برای…
یادآوری امروز از طرف یک رواندرمانگر:
هر بار که بهجای اینکه بگی «من توی این کار خوب نیستم»، به خودت میگی:
«این موضوع برام جدیده.»
داری به مغزت این پیام رو میدی که اینجا قراره یاد بگیری، نه اینکه خودت رو ناتوان فرض کنی.
و این دقیقا یکی از راههاییه که به انعطافپذیری مغز کمک میکنه.
این قسمت برای من خیلی مهمه، چون توی دنیای امروز اطلاعاتی که دریافت میکنیم واقعا خیلی زیاده.
مثلا یک صفحه مدام دربارهی اختلالات مختلف محتوا میذاره و میگه «اگر این ۵ نشونه رو داری، ممکنه فلان اختلال رو داشته باشی». بعد تو هر بار که یکی از اون نشونهها رو تجربه میکنی، بیشتر حواست بهش جمع میشه و ممکنه بیشتر نگرانش بشی.
اینجاست که به نظرم باید حواسمون به اثر نوسیبو باشه؛ مخصوصا وقتی مدام محتواهایی رو دنبال میکنیم…
با هم یاد بگیریم:
یکی از چیزهای جالبی که دربارهی رابطهی ذهن و بدن میدونیم، اثر پلاسیبو و نوسیبوئه.
پلاسیبو یعنی گاهی چیزی که از نظر دارویی اثر خاصی نداره، فقط چون انتظار داریم حالمون رو بهتر کنه، واقعا میتونه باعث بشه بعضی علائممون کمتر بشن.
نوسیبو دقیقا اون طرف ماجراست: انتظارِ بدتر شدن هم میتونه بعضی علائم رو ایجاد یا تشدید کنه.
مثلاً فرض کن شروع کنی دربارهی علائم اضطراب بخونی: تپش قلب، تنگی نفس، سرگیجه، …
تو سرشار از خود بودی
خرسند به بسندگی خویش
اما روزگار ما روزنههایی دارد.
که ریگ شادی به شتاب از آن میگریزد.
- غاده السمان ⛅️
❤21👍3
Showing the 12 most recent of 33 posts we hold for @azanemaa. 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.
Posts edited after publishing
@azanemaa edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
8 August 2026
Most recent edit
12 August 2026
Citation-graph rank
Citation-graph rank — 230,841 of 1,189,255entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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.
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 13 August 2026 — this
entry's latest reading, not the date you are reading this.
“از آنِ ما!” (@azanemaa), 7,757 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/azanemaa.
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.