Literature — 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 91% 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
24 measurements spanning 89 days, net -280. 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 6,751–7,115 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 24
Measured (UTC)
Subscribers
Change
3 Nov 2026, 10:51
6,793
-7
31 Oct 2026, 03:29
6,800
-8
27 Oct 2026, 16:51
6,808
-14
24 Oct 2026, 23:38
6,822
-5
21 Oct 2026, 13:19
6,827
-5
18 Oct 2026, 16:36
6,832
-7
15 Oct 2026, 23:16
6,839
-6
12 Oct 2026, 16:28
6,845
-16
5 Oct 2026, 23:19
6,861
-22
28 Sept 2026, 08:21
6,883
-21
18 Sept 2026, 11:38
6,904
-16
13 Sept 2026, 17:37
6,920
-14
10 Sept 2026, 04:59
6,934
-10
4 Sept 2026, 14:21
6,944
-14
1 Sept 2026, 03:17
6,958
-16
28 Aug 2026, 16:09
6,974
-9
25 Aug 2026, 16:58
6,983
-12
22 Aug 2026, 13:52
6,995
-9
18 Aug 2026, 22:14
7,004
-9
16 Aug 2026, 08:23
7,013
first reading
Engagement
33 posts held, back to 7 October 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 14 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
4.58%
avg views ÷ 6,793 subscribers
Avg views / post
311
6 posts measured
Reaction rate
1.63%
reactions ÷ views · ER floor
Posts in window
6
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. It is computed over the 5 of 6 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 20 October 2026
Posts held
33 (7 October 2025 – 20 October 2026)
Views total
1,867
Reactions total
25
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
4 Nov 2026, 05:10 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
99
Videos
44
Links
33
Lifetime counters from Telegram’s own channel header, read 4 November 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.
Reaction mix
140 reactions across 27 posts, in 5 distinct kinds. The most used accounts for 78.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
110
78.6%
👍
16
11.4%
👏
8
5.71%
😢
5
3.57%
👌
1
0.714%
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 28 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 140 reactions 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 7 October 2025 to 20 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.
بزرگ شدیم ،
قد کشیدیم،
دوستای جدید پیدا کردیم.
جاهای جدید رفتیم.
کارای جدید یاد گرفتیم.
بلندتر خندیدیم،
یواشکیتر گریه کردیم.
صدها بار شکستیم،
بدون اینکه کسی بفهمه رو زانوهایی که هنوز میلرزیدن بلند شدیم.
خودمونو پنهون کردیم.
بیشتر سکوت کردیم.
کمتر نگاه کردیم.
بله... ما بزرگ شدیم.
رفتیم میون آدم بزرگایی که تموم بچگیامون آرزو داشتیم یه شب وقتی که خوابن کفشاشونو بپوشیم و توی حیاط خونه راه بریم و یک لحظه جاشون زندگی کنیم…
جا داره امروز رو به تمومِ دخترایی که جلوی
«چون تو دختری»
ایستادن،
کم نیاوردن ،
نشکستن،
خَم به ابرو نیاوردن.
بلکه جوری خودی نشون دادن که دنیا مثل و مانندش رو ندیده.
تبریک بگم و بهشون گوشزد کنم:
دیدی چون «دختر» بودی تونستی از پسش بربیای؟!
#فرگل_مشتاقی
بچه که بودم از پاییز بدم میومد،
حتی اولین روز مدرسه که همه خوشحال بودن.
هروقت میومدم خونه ،
چراغا خاموش،
خونه سوت و کور
و هیچ بویی از روی هیچ اجاقی بلند نمیشد.
پشتِ هیچ دری کسی منتظرم نبود.
کلید تو قفل مینداختم،
چراغای خونه رو روشن میکردم.
ظرفِ غذارو خودم گرم میکردم.
بخاری رو خودم زیاد میکردم.
مشغول مشق نوشتن میشدم.
بعد از اون بازی میکردم.
اخر سر هم میخوابیدم تا پدر مادرم از سرکار برگردن.
اگر شبایی بود که بارون میومد…
در آینه خودم رو نگاه کردم.
به تکههای شکستهای که حالا به زیبایی مثل یک پازل هزارتکه کنارهم قرار گرفته.
به زخمهایی که هربار سرباز میکردن و تیمارشون میکردم.
به قدمهای سنگینی که تو شبهای تاریک و ترسناک برداشتم و نمیدونستم نور کجاست.
خودم رو در آینه دیدم.
زنی که شبها از رنج به خودش میپیچید و تا صبح از کنجِ دنیا به دور از هرآدمی مچاله میشد.
صبح کفش آهنی میپوشید و لبخندزنان تو خیابونای شهر شادی خیرات میکرد.
این زنِ …
پاییزِ جان که پایش را به زندگیام میگذارد، بیشتر از همیشه سلولهای هیجان در درونم تکثیر میشود...! شبیه کودکیهایم، ذوق زدگی راحتتر در من اتفاق میافتد و برگهای رنگینکمانی پاییز از نگاهم، عاشقانهترین تصویر دنیا میشود! پاییزِ جان که میآید ، ناخودآگاه جهانم، لباسِ ظریف احساس را به تن میکند!
#نازیلا_زارع
لازم نیست هر رفاقتی دائمی بشه.
لازم نیست هر رابطهای به ازدواج ختم بشه.
لازم نیست در هرکاری پیر و بازنشسته بشی.
لازم نیست هر اشتباهی رو ادامه بدی چون میترسی که از دست بدی و دیگران بازنده خطابت کنن.
رفتنها،
نشدنها،
تموم شدنها،
بیوفاییها،
نرسیدنها ،
بهت یاد میدن که دیگه هرگز نباید اشتباه گذشتهت رو تکرار کنی.
تموم خطاهایی که فکر میکنی بیگدار به آب زدنه،
میشن تجربههایی که حالا روی دوشت مونده و سر هرپیچِ غلط بهت…
کاش میشد درون بعضی از عکسها فرو رفت.
حال و هوایشان را نفس کشید
و حضور خود را در جهانِ محدودیتها نقض کرد...!
کاش میشد رهاترین آدم دنیا بود
و شبیه تخیلات کودکانه
گاهی پرواز کرد، از جسم رها و نامرئی شد
و انسانی ترین کلمات را از دهان حیوانات شنید.
کاش میشد بعضی وقتها فراتر از دنیای زمینی زندگی کرد
و محبت ورزید و دوست داشت و
از هیچ چیز نترسید...!
#نازیلا_زارع 🌱💛
یکی از قشنگترین لذت های زندگیام،
تماشای آدمها به وقت ذوق زدگی ست!
کیف میکنم وقتی شتابزدگی در شادی را
روی صورت آدمها میبینم!
قلبم از همیشه قشنگتر میتپد وقتی،
اعتماد به نفس در وجودشان رنگ میگیرد و
غم کوچ میکند!
من میگویم به آدمها...
میگویم که چقدر لبخندشان دلنشین است...
چقدر کلامشان زیباست
و چقدر رنگهای روشن به آنها میآید...
من قشنگی های آدمها را مدام به آنها گوشزد میکنم
تا ذوق زدگی را توی چشمانشان بب…
یک روز بالشتَمو برمیدارم
جایِ خوابمو جمع میکنم
میندازم روی کولَم و خودمو میبَرَم یک جای دور و از روزهای سخت و کسِل کنندهای که دمار از حسِ قلب و روحم در اورده؛ بیدار میشم.
#فرگل_مشتاقی
👍5
Signed Behesht
Showing the 12 most recent of 33 posts we hold for @Love_narration. 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 5 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 3 November 2026 — this
entry's latest reading, not the date you are reading this.
“𝐃𝐞𝐥𝐬𝐞𝐝𝐚 ᥫ᭡” (@Love_narration), 6,793 subscribers as measured 3 November 2026. Telegram Register, tgregister.com/channel/Love_narration.
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.
