3 measurements taken within a single day, net +1. 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 1,996–1,997 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
3 Nov 2026, 10:56
1,997
+1
3 Nov 2026, 04:26
1,996
no change
3 Nov 2026, 04:22
1,996
first reading
Engagement
20 posts held, back to 30 January 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
190.5%
avg views ÷ 1,997 subscribers
Avg views / post
3,800
4 posts measured
Reaction rate
0.624%
reactions ÷ views · ER floor
Posts in window
4
of 20 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 28 October 2026
Posts held
20 (30 January 2026 – 28 October 2026)
Views total
15,219
Reactions total
95
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Nov 2026, 04:22 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
392 reactions across 19 posts, in 9 distinct kinds. The most used accounts for 74.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
293
74.7%
💔
26
6.63%
👍
22
5.61%
😢
15
3.83%
👏
14
3.57%
💯
13
3.32%
🕊
5
1.28%
🙏
2
0.51%
🤯
2
0.51%
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 19 of the 20 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 392 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 30 January 2026 to 28 October 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 4 posts held from the last 30 days (75.0%) 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).
📌گاهی مسئله این نیست که کم تلاش کردهایم؛ گاهی آنقدر برای دوامآوردن، کنترلکردن و برآوردنِ انتظارها جنگیدهایم که دیگر صدای خودمان را نمیشنویم. آنچه در این نقطه نیاز داریم، فشارِ بیشتر برای تغییر نیست؛ مکثی امن و رابطهای قابلاعتماد است تا بتوانیم ببینیم چه چیزی در ما ادامه دارد، چه زخمی هنوز حرف میزند و کدام رنج، پیش از آنکه فهمیده شود، به عادت تبدیل شده است.
ارائهی خدمات درمان آنلاین و حضوری با رویکردهای تحلی…
#یادآوری
اينكه زخمها قبل از خوب شدنشون مى خارن
و التماست مى كنن تا دوباره بازشون كنى خيلى استعارهی جالبيه، تحمل كردن خارش پيچ
آخره،
ردكني تمومه.
استعاره وقتی عمیقتر میشه که بفهمیم گاهی چیزی که ما رو به سمت زخم برمیگردونه، عدم تحمل درمانه (نه درد).
@digaripsy✨
📌چرا با اینکه میدونم مشکلم چیه، خوب نمیشم؟
➖چون راهحلهات هم از همون مسیرهای تکراری میگذرن که تورو به اینجا رسوندن.
➖با اضطرابم میجنگم، چون همیشه فکر کردم باید همهچیز رو کنترل کنم.
برای اینکه دوستداشتنی باشم، بیشتر تلاش میکنم؛ چون یاد گرفتم برای دوست داشته شدن باید کافی باشم.
برای اینکه طرد نشم، نیازهای خودم رو نادیده میگیرم؛ چون یه زمانی فکر میکردم برای حفظ رابطه باید از خودم بگذرم.
🧶من فقط دارم با ابزاره…
📌چرا بعضیها بعد از جدایی شکوفا میشن، ولی بعضیها از هم میپاشن؟
برای بعضیها، رابطه فقط بخشی از زندگیه؛
اما برای بعضیها، به منبع اصلیِ امنیت، ارزشمندی، هویت و حتی معنای زندگی تبدیل شده.
وقتی چنین رابطهای تمام میشه، فرد فقط یک آدم رو از دست نمیده؛
گاهی تصویری که از خودش، آیندهاش و ارزشمندیاش داشته هم فرو میریزه.
از طرف دیگه، بعضی آدمها در رابطه آنقدر خودشان را تطبیق دادهاند، خواستههایشان را سرکوب کردها…
دوران پس از کرونا و معمای «خستگی زوم»
همهگیری کووید-۱۹، اتاق درمان را ناگهان به قاب دوبعدی صفحهنمایش تبعید و رواندرمانی از راه دور را مرسوم کرد. پژوهشها نشان دادهاند که درمانگران در جلسات آنلاین، خستگی بیشتری را تجربه میکنند و حتی یادآوری محتوای جلسات پیشین برایشان دشوارتر شده است.
«خستگی زوم» را میتوان اینگونه تعریف کرد: فرسودگی شناختی-عاطفی ناشی از جابهجایی ارتباط از فضای سهبعدی به قاب دوبعدی دیجیتال.
…
Digari'دیگری' pinned «🩸میگویند وظیفهی بازماندگان، یادآوری است. اما یادآوری فقط حفظِ خاطرهی آنچه رخ داده نیست؛ حفظِ امکانِ زندگی پس از آن نیز هست. بحرانهای جمعی فقط جانها و فرصتها را نمیگیرند، بلکه در روز های بعد از بحران به حسِ عاملیت نیز آسیب میزنند؛ به این باور که هنوز…»
بهاى حركت كردن، اين است كه به صورت مداوم در معرض سقوط قرار میگیریم و گاهی انسان از ترس سقوط،
تمام عمر مىايستد.
✍️كتاب جهان همچون اراده وتصور
📝آرتور شوپنهاور
https://t.me/digaripsy ✨
📌لذت و رنج چنان به هم وابستهاند که که اگر کسی قصد حداکثر بهرهمندی از لذت را داشته باشد ناگزیر است بیشترین مقدار ممکن از رنج را بچشد.
📚تسلی بخشی های فلسفه
✍️آلن دوباتن
https://t.me/digaripsy✨
❤13😢3👍1🕊1
Showing the 12 most recent of 20 posts we hold for @digaripsy. 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 3 November 2026 — this
entry's latest reading, not the date you are reading this.
“Digari'دیگری'” (@digaripsy), 1,997 subscribers as measured 3 November 2026. Telegram Register, tgregister.com/channel/digaripsy.
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.
