5 measurements spanning 24 days, net +17. 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 191–215 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
16 Sept 2026, 10:17
211
-1
8 Sept 2026, 12:39
212
+11
29 Aug 2026, 23:57
201
+2
23 Aug 2026, 23:37
199
+5
23 Aug 2026, 04:30
194
first reading
Engagement
19 posts held, back to 8 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 1 page of Telegram’s post history, 20 posts per page.
ERR · 30 days
14.7%
avg views ÷ 211 subscribers
Avg views / post
31.0
1 post measured
Reaction rate
29.0%
reactions ÷ views · ER floor
Posts in window
1
of 19 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 22 August 2026
Posts held
19 (8 August 2026 – 22 August 2026)
Views total
31
Reactions total
9
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
23 Aug 2026, 04:30 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
81 reactions across 15 posts, in 4 distinct kinds. The most used accounts for 50.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
41
50.6%
❤
19
23.5%
🔥
14
17.3%
👎
7
8.64%
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 15 of the 19 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 81 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 8 August 2026 to 22 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.
شما وقتی میتوانید اعمال دیگران را تقبیح کنید و آنها را به بیتفاوتی متهم کنید که کاری که خودتان انجام میدهید تاثیر بیشتری در مبارزات علیه جمهوری اسلامی یا به تعبیر خودت بربرها داشته باشد. متاسفم که اعلام کنم که فهم Das Man در فلسفه هایدگر یا دانستن «مقولات فاهمه» در کانت یا اساسا هر مفهوم و دانش دیگری در هر حوزهای از این حیث که نمیتواند جلوی گلوله را بگیرد هیچ فرقی با آن دوست عزیزی که به ماچا پارتی میرود یا آنکس…
این که چت جیپیتی در ادبیات کلاسیک فارسی به خصوص شعر، به خوبی سایر حوزهها نیست، دو علت دارد.
اول آن که تعداد متون فارسی تایپ شده چه از منظر کمیت و چه از منظر کیفیت، قابل قبول نیست؛ تازه چندسالیست که وبسایتی مثل گنجور سعی کرده شعرهای بعضی از شاعران کلاسیک را به صورت تایپشده در بستر نت بگذارد که آن هم در بسیاری از جاها از معتبرترین نسخه استفاده نکرده است.
دومین دلیلش هم آن است که LLM های تخصصی برای ادبیات کلاسیک وجو…
خشمگین وخاطر آزرده،
روی تختِ قهوه خانه ، دور از آن جنجال،
قوز کرده، سر به جیب پوستینِ خود فرو برده،
خسته از این چُربک وجنجال
زان دروغین جلوه ها وآن وقاحتها
خاطرش غمگین؛
در دلش طوفانی از نفرین ونفرتها.
ببینید عزیزان شما نمیتوانید شریعتی را که قبل از ۵۷ مرده و کل کارش تعدادی کتاب و سخنرانی در حسینیه ارشاد بوده را بیستچاری فحش دهید و تمام بدبختیها را زیر سر او بدانید، ولی وقتی به کسی مثل غنینژاد و نوچههای فکری او مثل تدینی میرسید که هم با وزیر روحانی خنده مستانه میکنه، هم با حسن کلیدساز نرد عشق میبازه، هم در کمپینهای انتخاباتی پزشکیان حضور فعال داره، هم در داعشگاههای رژیم تدریس میکنه و هم در سیاستگذاریهای…
اگر ما را به فاشیسم متهم نمیکنید یک نظر نامحبوب بدهم:
اکثر لباسهای مردانه اقوام مختلف مثل لری،کردی، بلوچی، خراسانی و دشداشه عربی زشت و بدقواره هستند. فقط لباس مردانه آذریها را زیبا میدانم. لباس زنانهشان ولی خوب است، به خصوص کردی.
اما اکنون به خود کتاب بپردازم.
برخلاف تصوری که کتابهای علوم اجتماعی، مانند آثار ریتزر، ممکن است ایجاد کنند، این کتاب صرفاً نمیخواهد بگوید که مجموعهای از آداب و رفتارهایی که امروز آنها را متمدنانه میدانیم، در گذشته چنین تلقی نمیشدهاند و به مرور زمان عادتها و آداب تغییر کردهاند. این بخش از کتاب البته وجود دارد، اما به گمان من، مسئله اصلی کتاب چیز دیگری است: این کتاب بیش از هر چیز نظریهای درباره دولت ارائه مید…
پیش از دیماه، جلد اول این کتاب را ترجمه کردم و جلد دوم آن را نیز با جستوجوی فراوان پیرامون متن اصلی کتاب خواندم. کتابی عظیم و بینشافزا که بسیاری از پیشفرضهای مرا درباره جهانم تغییر داد.
البته پیش از آنکه به محتوای کتاب بپردازم، میخواهم درباره ترجمه آن صحبت کنم. ترجمه این کتاب نخستین کار جدی من در زمینه ترجمه بود. پیش از این، عمدتاً مقالاتی را که استادان میدادند یا خودم پیدا میکردم، ترجمه میکردم که حجمشان معم…
❤5👍2
Showing the 12 most recent of 19 posts we hold for @Musesvoice. 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
Republishes
Channels on the register whose posts this channel has forwarded.
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 16 September 2026 — this
entry's latest reading, not the date you are reading this.
“Anthem of muses” (@Musesvoice), 211 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/Musesvoice.
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.