2 measurements taken within a single day. 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 627–629 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
6 Aug 2026, 17:33
628
no change
6 Aug 2026, 09:12
628
first reading
Engagement
20 posts held, back to 23 August 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 1 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
25.2%
avg views ÷ 628 subscribers
Avg views / post
158
3 posts measured
Reaction rate
2.32%
reactions ÷ views · ER floor
Posts in window
3
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 2 August 2026
Posts held
20 (23 August 2025 – 2 August 2026)
Views total
475
Reactions total
11
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Aug 2026, 17:33 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
≈1,530
Videos
≈7
Links
≈64
Lifetime counters from Telegram’s own channel header, read 6 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Reaction mix
108 reactions across 20 posts, in 5 distinct kinds. The most used accounts for 65.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
71
65.7%
❤🔥
18
16.7%
👍
16
14.8%
👏
2
1.85%
🔥
1
0.926%
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 20 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 108reactions 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 23 August 2025 to 2 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.
هر ثانیه که دور شوی عمر رفتهایست
برگرد و از قبیلهی انسان غزل بگو
تو ماجرای پر تنش شاهنامهای
تهمینه باش و در دل تهران غزل بگو
دریا کجا و ساحت این قبر مستطیل
بیرون زده قوارهی تن از درون تو
بوی بهار میرسد از چار گوش خاک
فصل گلابگیری کاشان بدون تو
#سمیه_ابراهیمی
از کتاب #از_قبیله_ی_انسان
از تازههای نشر
#انتشارات_فصل_پنجم
@fasl5
نیمی از من زنیست واقعبین
نیم دیگر خیال میبافد
با کلافی سیاه و سردرگم
آرزوی محال میبافد
خیره خیره شبیه پنجرهها
شاهد گریهی بهار شدهست
غربتش از سکوت لبریز است
غصهها پشت هم قطار شدهست
غیر از آیینهی اتاق خودش
حال او را کسی نمیداند
غیر فنجان قهوهی تلخش
فال او را کسی نمیخواند
#فریبا_امجد
از کتاب #نیمی_از_من_زنی_ست
از تازههای نشر
#انتشارات_فصل_پنجم
@fasl5
دیدنت
عادت ماهیانهی همهی ستارههایی ست
که به بلوغ رسیدهاند
و راهشان را از کهکشان شیری جدا کردند
خدا که چشمش به انحنای کمرت افتاد
ساخت کرهی ماه را شروع کرد
و از روی گردنبندت
یکی یکی ستارههایش را...
موهایت را که باز کردی
تاریکی را به زمین پاشید
مقدسی، مثل آتش زرتشتیان
اصیلی، مثل مفرغ های قوم لر
و نجیب، همچون شاهزادههایی پارسی
و آنقدر زیبا
که طاووسها پشت در خانهات
صف کشیدند...
#محمد_یوسفی
از کتاب #کودتای_بابون…
.
تو آمدی
نیلوفری در جمجمهام
جوانه زد
و سنگ
مملو از دانههای گندم شد
مادر
شمیم خاک
از پژواکهای نفسهای توست؟
یا طواف ابرهای سیاه بر سپید گورم؟
کمی آبی آسمان
تمام خواهش سقفی است
که هر لحظه به سینهام نزدیکتر میشود
اعجاز میخواهم
کسی نیست؟
پیامبری را
که زنده میکرد
بیدار کند؟
#محمد_دلدار
از کتاب #شهد_شیهه
از تازههای نشر
#انتشارات_فصل_پنجم
@fasl5
ما محکومیم
تا در این نمایش بیپایان
دست و پا زدن هر روزمان را ببینیم
این همان قفسیست
که تنها یک نام میتوان برایش گذاشت
«روزمرگینگی»
#آرش_خداخواه
از کتاب #روزمرگینگی
از تازههای نشر
#انتشارات_فصل_پنجم
@fasl5
شتاب کن
رنج واژهها
در شعر شوریده من
شعلهور شده
بلغز
بر پوسته تنهاییام
راهی بگشا
به درون این مساحت منگ
شتاب کن
و آب کن
قندیلهای غم را
از شمایل این روح اسیر
در زمهریر مرگ
شتاب کن
تیغه طغیان
به شاهرگ شکیبایی
نزدیک شده
#آیدا_علاقه_بندی
از کتاب #با_نام_مستعار_شعر
از تازههای نشر
#انتشارات_فصل_پنجم
@fasl5
به قدر یک مژه بر هم زدن نکن تردید
طلوع میکند از پشت میلهها خورشید
پرنده خواب قفس را به باد خواهد داد
پرنده خواب قفس را دگر نخواهد دید
حقیقت از پس هر پرده رونمایی کرد
حقیقت از دل هر ذره بر جهان تابید
مرا به نام خودم بارها صدا کردی
به نام آنکه مرا بر لب تو رویانید
شکوفه زد نفسی تازه در تفاهم صبح
چه سوروسات شگفتی که عشق با ما چید
سپید بود جهان یا سیاه بود، گذشت
گذشته از سرما قصهی سیاه و سپید
سفر نبود جهان هیچک…
خوشا به حال تو ای شعر
که همچو نور و نسیم و شکوه و زیبایی
طلوع میکنی از اوجهای ناپیدا
عبور میکنی از مرزهای ناممکن
بدون برنامه
بدون تشریفات
و بیگذرنامه
#محمدرضا_روزبه
از کتاب #ببین_چقدر_به_چشم_تو_آسمان_دادیم
از تازههای نشر
#انتشارات_فصل_پنجم
@fasl5
ماه را قاب میگیرم
لبخندت
بر دیوار تنهایی
میدرخشد
تو که نمیآیی
ثانیهها
میافتند
بی صدا
بیپایان
#مجید_سنجری
از کتاب #روشنایی_یعنی_زن
از تازههای نشر
#انتشارات_فصل_پنجم
@fasl5
کمال الملک رقصانده به رقص او قلم مویش
دو تا تالار آیینه به زیر طاق ابرویش
حواس شاعران عصر من را پرت خود کرده
به لطف پیچ مویی که گرفته نیمی از رویش
پریشان خاطرم می خواهد از روزی که فهمیده
مشامم سخت می خواهد ببوید ذره ای بویش
کجا آموخته این حجم از شیرین بیانی را
که هر زنبور شهدش خورده یادش رفته کندویش
مرا در لا به لای یک شب یلدا رها کرده
اگر از روسری بیرون بریزد حجم گیسویش
#سید_علی_زندوی
از کتاب #با_قافیه_هم_بند…
وامصيبت يک نفر در خانهاش رقصيد دين رفت
گريه سر كن در خيابان دختری خنديد دين رفت
وای بر ما در همين سيمای ملی، چشم مؤمن
لحظهای تصوير تار و تنبک و نی ديد دين رفت
خاک بر سر كن! كه بر سر كرد یک زن شالرنگی
نعره زن! زيرا كه زن بر دامنش گل چيد دين رفت
محتسب مستی به ره ديد آه! آقا زاده است اين
محتسب از اضطراب و يَأس مَی نوشيد دين رفت
#اسماعیل_امینی
از مجموعه طنز #ماست_مالی
از تازههای نشر
#انتشارت_فصل_پنجم
@fasl5
ای شعر هرزه پو!
آرام گیر! من...
او را نگاه کردم و دیدم هماوست، او
مقصود هر ضمیر سومشخص مفردم
هرچه سرودهام
آنچه گریستم، نسرودم، قدم زدم
تعبیر خوابهای پریشان و مبهمم
موعود داستان من و زندگانیام!
ای اوی تو شده!
فهماندهای به من
شاید چنان خدا
زیباست آدمی
#سید_محسن_رضوی
از کتاب #خم_راه_جوانی
از تازههای نشر
#انتشارات_فصل_پنجم
@fasl5
❤2
Showing the 12 most recent of 20 posts we hold for @fasl5. 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.
Citation-graph rank
Citation-graph rank — 434,943 of 1,548,671entries 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 6 August 2026 — this
entry's latest reading, not the date you are reading this.
“فصل پنجم” (@fasl5), 628 subscribers as measured 6 August 2026. Telegram Register, tgregister.com/channel/fasl5.
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.