4 measurements spanning 8 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 435–442 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Aug 2026, 01:28
441
+4
6 Aug 2026, 21:56
437
+1
6 Aug 2026, 19:18
436
no change
6 Aug 2026, 06:21
436
first reading
Engagement
20 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 1 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
35.8%
avg views ÷ 441 subscribers
Avg views / post
158
20 posts measured
Reaction rate
3.56%
reactions ÷ views · ER floor
Posts in window
20
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. It is computed over the 18 of 20 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 5 August 2026
Posts held
20 (22 July 2026 – 5 August 2026)
Views total
3,154
Reactions total
107
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Aug 2026, 19:18 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
107 reactions across 18 posts, in 10 distinct kinds. The most used accounts for 32.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
35
32.7%
🔥
16
15.0%
👍
13
12.1%
👌
10
9.35%
👏
9
8.41%
😢
9
8.41%
😭
6
5.61%
💔
5
4.67%
💯
3
2.80%
🙏
1
0.935%
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 18 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 107reactions 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 22 July 2026 to 5 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.
آیا هرگز به این فکر افتادهاید که آن پسر یا دختر کوچکی که یک روز بودید، آن آدم کوچولویی که تازه یک دندانش افتاده بود و عکسش توی آلبوم عکس هست، چطور شد؟ امروز یک نگاه در آینه نشان میدهد که شما خیلی تغییر کرده اید. سلولهای پوست و بافت بدنتان تاکنون میلیونها بار مردهاند و دوباره جایشان پر شده است.
☑️اما این مطلب در مورد سلولهای مغز صادق نیست.
دکتر "گاری لینچ" دانشمند نورولوژیست (پیشناس/ عصبشناس) از دانشگاه کالی…
@flaska2014
آدمی که داستان میگوید در شرایط دشوار میتواند خود را نجات دهد و این دقیقاً همان اتفاقی ست که در اردوگاههای کار اجباری روسیه افتاده است. اکثر زندانیانی که در میانشان یک داستانگو داشتهاند، زنده مانده اند و آسایشگاههایی که در آنها کسی داستان روایت نمیکرده، بیشترین تلفات را داشتهاند. این سخن کاملاً مستند است؛ شنیدن داستان به آنها کمک میکرد تا از دوزخ حبس، زنده بیرون بیایند.
📒 #هزارتوی_آزمون…
اطلاعات سرچشمه قدرت است.
اما مهم این است که راه استفاده از آن را بدانی، یا اگر موقعیت اقتضا نمی کند از آن استفاده نکنی.
سکوت هم می تواند مایه قدرت شود. هر سوالی ممکن است زخمی شود که التیام ندارد، زخمی که نمی گذارد دوست داشته باشیم یا دوست مان داشته باشند.
☑️این را نباید فراموش کرد که کشتار آدم ها را با عدالت به خطا نگیریم.
📒 #زندانی_لاس_لوماس
👤 #كارلوس_فوئنتس
🔃 #عبداله_کوثری
فراموش نمیشوید❤️
@flaska2014
@flaska2014
#داستانک
در لندن نامهرسانی را از خدمت منفصل کردند که سالهای متمادی تمام نامههایی را که حدس میزد حامل اخبار ناخوشی باشند و به تبع آن تمام آگهی مجالس ترحیمی را که به دستش میرسید، تحویل گیرندهی نامهها نمیداد و در خانهاش می سوزاند.
سرانجام ادارهی پست ترتیبی داد که او را به دیوانه خانهی شرنبرگ بفرستند. آنجا با لباس فرم نامهرسانها میچرخد و مدام نامههایی را به دست گیرندگان میرساند که به آدرس …
زنان نجیبی هستند که به علت نابخردی تنها راه ادای خود گذشتگی عمیقِ خویش را بذل عفت و حیای خود، یعنی گرانبهاترین چیزی که دارند، میدانند.
غالبا این هدیه را میپذیریم بدون آنکه آن طور که بخشندهٔ آن انتظار دارد با تمام وجود سپاسگزار شویم.
چه داستان غم انگیزی!
📒 #حکمت_شادان
👤 #فریدریش_نیچه
🔃 #داریوش_آشوری
@flaska2014
@flaska2014
چیزی به عنوان زیبایی وجود نداره.
خصوصا در صورت انسان،
چیزی که اسمش را گذاشته ایم "ریخت شناسی"، تمامش یک جور نظام بندی ریاضی وار و خیالی اجزای صورت است. مثلا دماغ زیادی بیرون نزده باشد. لاله های گوش بزرگ نباشد. موها بلند باشد، خط ریش ها مد روز باشند و از این جور چیزها.
این سراب عمومیت بخشیدن به همه چیز است. مردم به بعضی چهره ها می گویند زیبا، ولی در حقیقت آن ها زیبا نیستند. معادله ای ریاضی هستند که حاصل…
او دیگر به کسی نامه نمینوشت و هیچ نامهای دریافت نمیکرد. هیچ کس را نمیشناخت؛ با دیگران قطعرابطه کرده بود؛ یعنی دقیقاً همان کاری را که آدم همیشه وقتی بیهوده تلاش میکند با خود قطعرابطه کند؛ انجام میدهد.
📒 #پرندگان_میروند_در_پرو_میمیرند
👤 #رومن_گاری
🔄 #ابولحسن_نجفی
@flaska2014
@flaska2014
کارون آرام است. آب مثل اشک چشم زلال است. زیر مهتاب آبیگون است. بلم آرام میلغزد. انگار که رو مخمل ابرها نشستهام. بویه زمزمه میکند. صدای بلوچی پر کشیدهاست. با سوزی که جانم را از غم سرشار میکند. غمی که در ساحل کارون سینه به سینه گشتهاست تا به من رسیدهاست. غم همه ماهیگیران و قایقرانان کارون.
این غم را دوست دارم. سینه را میترکاند اما دوستش دارم.
📒 #همسایهها
👤 #احمد_محمود
@flaska2014
@flaska2014
جوان که بودم هنوز زخم مکانهای بمباران شده بر پیکر لندن باقی بود و گیاه دمموشی در زمین آنها میرویید و تکههای کاغذ دیواری رنگورو رفته از دیوار اتاق خوابهای طبقهی بالایی ساختمانهای مخروبه آویزان بود.
یکبار در شهر ینکومالِ کشور سریلانکا، حین آتشبسی کوتاه طی جنگ داخلی دهشتناک، کلبهای اجاره کردم که دیوارهایش پر از سوراخهای گلوله بود. این نشانهها و تلنگرهای کوچک روزنههایی به حقایقی وحشتناک بودن…
یادتون باشه که اینجا چه جهنمیه!...
برا همه بگید. به همه بگید. همه باید بدونن آنچه که حقیقت داره اینه که ما همه به کشور خدمت کردهایم. آنچه که حقیقت داره اینه که ما همه سعادت و سربلندی مملکت را میخواهیم مبارزۀ ما در راه بدست آوردن آزادی، شرف، رفاه و حیثیت برای همه مردم کشور بوده...
📒 #داستان_یک_شهر
👤 #احمد_محمود
@flaska2014
❤7👌1💯1
Signed MhNz
Showing the 12 most recent of 20 posts we hold for @flaska2014. 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 — 335,906 of 1,478,351entries 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 14 August 2026 — this
entry's latest reading, not the date you are reading this.
“فلاسکا” (@flaska2014), 441 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/flaska2014.
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.