6 measurements spanning 10 days, net +5. 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 7,046–7,080 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
15 Aug 2026, 20:34
7,055
-13
12 Aug 2026, 11:08
7,068
-8
9 Aug 2026, 05:04
7,076
+25
6 Aug 2026, 14:47
7,051
+1
6 Aug 2026, 03:16
7,050
no change
5 Aug 2026, 22:05
7,050
first reading
Engagement
24 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 11 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
8.26%
avg views ÷ 7,055 subscribers
Avg views / post
583
24 posts measured
Reaction rate
2.29%
reactions ÷ views · ER floor
Posts in window
24
of 24 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 10 August 2026
Posts held
24 (22 July 2026 – 10 August 2026)
Views total
13,991
Reactions total
320
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 02:26 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
Video runtime
7m 18s
Average length
3m 39s
Measured directly from 2 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
295 reactions across 22 posts, in 13 distinct kinds. The most used accounts for 35.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
104
35.3%
👏
66
22.4%
❤🔥
33
11.2%
👍
33
11.2%
💔
13
4.41%
💯
12
4.07%
🔥
12
4.07%
😢
6
2.03%
😍
5
1.69%
🙏
5
1.69%
🥰
3
1.02%
👌
2
0.678%
👎
1
0.339%
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 24 of the 24 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 320reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 24 most recent posts we hold, published 22 July 2026 to 10 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.
▪️"ظرایف معنایی یکی از زیباترین ابیات حافظ"
ز گِردْخوانِ نگونِ فلک طمع نتوان داشت
که بیملالتِ صد غصه، یک نواله برآید
ـ آقای هاشم جاوید در شرح این بیت، به نکتهای مهم دربارهٔ ضبط و معنای «گِردْخوان» پرداخته است. این ترکیب گاه به صورت «گِردِ خوان» (اطراف سفره) ضبط شده، اما صورت درست آن «گِردْخوان» به معنای «سفره یا خوانِ گرد» است.
«خوان» در فارسی کهن به معنی طبق یا سفرهای بوده که بیشتر از چوب و گاه از فلز میساختند…
#آنلاین_خوانی
از جملهٔ رفتگان این راه دراز
بازآمدهای کو که به ما گوید راز
هان بر سر این دو راهه از روی نیاز
چیزی نگذاری که نمیآیی باز
#خیام
پیری دیدم به خانهٔ خماری
گفتم نکنی ز رفتگان اخباری
گفتا می خور که همچو ما بسیاری
رفتند و کسی بازنیامد باری
(همان)
ای بس که نباشیم و جهان خواهد بود
نی نام ز ما و نی نشان خواهد بود
زین پیش نبودیم و نبد هیچ خلل
زین پس چو نباشیم همان خواهد بود
(همان)
🎙#محمدرضاکاکائی
۱۵ …
چالش حافظانه در گروه حافظ پژوهی:
فروغ ماه میدیدم ز بام قصر او روشن
که رو از شرم آن خورشید در دیوار میآورد
این بیت رو چگونه میتوان خواند که دو مفهوم متضاد از آن استنباط بشود؟
برداشتتون از این بیت چیست؟
🎙 #محمدرضاکاکائی
۱۴ امرداد ۱۴۰۵ خورشیدی
@hafezaneha1
▪️«بازتاب باورهای سحر و جادو در بیتی از حافظ»
خواب بیداران ببستی وآن گه از نقش خیال
تهمتی بر شبروان خیل خواب انداختی
#حافظ
در این بیت، حافظ از یکی از باورهای رایج فرهنگ عامه و ادبیات کهن دربارهی «سحر و افسون» بهره گرفته است.
▪️"خواب بستن"
یعنی با افسون و جادو، خواب را از چشم کسی ربودن و او را از خواب محروم ساختن.
در فرهنگها نیز این تعبیر چنین معنا شده است: «شوراندنِ خوابِ کسی و مانع خواب او شدن» (انوری، ۱۳۸۲، ج…
شب خسته بود از درنگ سیاهش
من سایهام را به میخانه بردم
هی ریختم خورد، هی ریخت خوردم
خود را به آن لحظهٔ عالیِ خوب و خالی سپردم.
با هم شنیدیم و دیدیم
میخوارهها و سیهمستها را
و جامهایی كه میخورد بر هم
و شیشههایی كه پر بود و میماند خالی
و چشمها را و حیرانی دستها را.
با جرعه و جامهای پیاپی
من سایهام را چو خود مست كردم
همراهِ آن لحظههای گریزان
از كوچهپسكوچهها بازگشتم
با سایهٔ خسته و مستم افتان و خیزان
مستی…
ای شب از رویای تو رنگین شده
سینه از عطر توام سنگین شده
ای به روی چشم من گسترده خویش
شادیام بخشیده از اندوه پیش
همچو بارانی که شوید جسم خاک
هستیم ز آلودگیها کرده پاک
ای تپشهای تن سوزان من
آتشی در سایۀ مژگان من
ای ز گندمزارها، سرشارتر
ای ز زرین شاخهها پر بارتر
ای در بگشوده بر خورشیدها
در هجوم ظلمت تردیدها
با توام دیگر ز دردی بیم نیست
هست اگر، جز درد خوشبختیم نیست
ای دلتنگ من و این بار نور؟
های هوی زندگی در قعر …
▪️اندکی تأمّل
ـ با توجه به تعاریفی که دربارهی اسطوره، منشأ آن و شفاهی بودن این روایتها ارائه شده، پرسشی برای من پیش آمده است: اگر اسطورهها را حاصل خیالپردازیِ انسانهای نخستین، تلاش آنان برای توضیح پدیدههای ناشناخته و محصول روایتهای سینهبهسینه بدانیم و اینکه این روایات و شخصیتها با تحلیل منطقی همسو نیستند، چرا همین نگاه دربارهی بسیاری از روایتهای دینی مطرح نمیشود؟
برای نمونه، داستان آفرینش انسان از خا…
▪️آیا اشخاص و رویدادهای شاهنامه، واقعی/ تاریخی است یا افسانهای؟
برای پاسخ به این پرسش مهم، توجه دقیق به تعریف و تفاوت دو اصطلاح «تاریخ واقعی» و «تاریخ ملی/روایی/داستانی»، لازم و ضروری است.
"تاریخ واقعی" چنان که از خود این ترکیب نیز بر میآید گزارش حوادثی است که در گذشتهٔ یک سرزمین یا قوم، به واقع روی داده و اشخاص نامبرده در آن، همه در مقطعی از زمان حضور و نقش داشتهاند و کلیات -و در بسیاری موارد جزئیات- آن مستند ب…
▪️ "تعریف اسطوره و چرایی پیدایش آن"
ـ واژهی «اسطوره» صورتی معرّب از واژهی یونانیِ historia است؛ واژهای که در اصل به معنای «جستوجو»، «آگاهی» و «داستان» به کار میرفته است. بازماندهی آن در زبان انگلیسی، واژهی story است که همچنان معنای «داستان» و «حکایت» را حفظ کرده است.
انسانِ نخستین در برابر نیروهای ناشناختهی طبیعت، خود را ناتوان و هراسان مییافت. در آن روزگار که هنوز اندیشهی فلسفی و تحلیل عقلانی مجال شکلگی…
.
نقد عمرت ببرد غصهٔ دنیا به گزاف
گر شب و روز در این قصهٔ مشکل باشی
#حافظ
@hafezaneha1
💯5🔥3❤🔥2👌2
Showing the 12 most recent of 24 posts we hold for @hafezaneha1. 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 — 145,223 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 24 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 15 August 2026 — this
entry's latest reading, not the date you are reading this.
“حافظخوانی با محمدرضا کاکائی” (@hafezaneha1), 7,055 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/hafezaneha1.
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.