3 measurements spanning 3 days, net -2. 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 1,241–1,243 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
11 Sept 2026, 11:38
1,241
-2
8 Sept 2026, 23:22
1,243
no change
8 Sept 2026, 22:47
1,243
first reading
Engagement
20 posts held, back to 8 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 page of Telegram’s post history, 20 posts per page.
ERR · 30 days
21.8%
avg views ÷ 1,241 subscribers
Avg views / post
271
5 posts measured
Reaction rate
2.81%
reactions ÷ views · ER floor
Posts in window
5
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 September 2026
Posts held
20 (8 July 2026 – 2 September 2026)
Views total
1,353
Reactions total
38
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Sept 2026, 23:22 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
132 reactions across 18 posts, in 5 distinct kinds. The most used accounts for 79.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
105
79.5%
👍
14
10.6%
🔥
9
6.82%
👏
3
2.27%
😢
1
0.758%
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 132 reactions 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 8 July 2026 to 2 September 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.
People mistake invisibility for weakness because they have been trained to fear only what has already arrived.
I learned the opposite
The most dangerous things grow quietly, without witnesses, without permission, without applause.
By the time they are recognized, recognition no longer matters.
I stopped taking limits seriously when they came from people who had never seen beyond their own.
Most people do not judge what you can become. They judge what they themselves could become in your place.
So I learned to ignore the forecast
My advantage has always been hardest to see before it compounds.
Then one day, what looked unlikely looks inevitable.
لن تنتهي المهام الروتينية التي نتضجر منها لأنها تصرفنا عن اهتماماتنا المرغوبة؛ ومن ثم، لا تُوطّن نفسك على انتظار اليوم الذي تختفي فيه، فهذه من أخطر الأفكار (إذ لو اختفت، لاختفى معها بعض وسائل العيش الضرورية لك!)
لكن وطّن نفسك على أنها لن تنتهي إلا بالموت، وعلى إنجازها أولًا بأول، والأولى فالأولى.
متى فعلت ذلك، ستلاحظ الفرق، وستجد أن هذا أحد أهم أسباب تفرغك لما تريد حقًا.
“Traditionally, there are three ways to define a problem. The most common approach defines problems as deviations from the norm. The major shortcoming of this approach, besides the difficulty in defining the “norm” in a sociocultural system, is to reinforce the existing order. This is usually done despite strong suspicion that the existing order might be the source of the problem. ”
Jamshid Gharajedaghi - Systems Th…
من يخسر… يربح
يُروى أن الخطيب الإغريقي كوراكس وافق على تعليم تلميذه تيزياس بشرط غير مألوف: ألا يتقاضى أجره إلا بعد أن يكسب تلميذه أول قضية يترافع فيها. فإن ربحها، دفع الأجرة. وإن خسرها، فلا شيء عليه.
لكن ما إن أنهى تيزياس تعلّمه حتى لجأ إلى حيلة ذكية؛ فقد رفع دعوى على أستاذه يطالب فيها بإعفائه من الأجرة نهائيًا.
وكان منطقه بسيطًا:
إن ربحتُ القضية، فالمحكمة ستقضي بأني غير ملزم بالدفع.
وإن خسرتها، فهذا يعني أنني لم…
---
12. لماذا تبدو بعض المعاني طبيعية؟
حين يتوافق الموقف مع العقلية المتاحة، تجري المعالجة بسهولة فيستطيع الفرد تفسير الأدوار، وتوقع التصرفات، وفهم الإشارات من دون جهد كبير.
تسمّي Oyserman هذا الطلاقة الثقافية Cultural Fluency.
لكن أهمية الطلاقة لا تكمن فقط في أنها توفر الجهد فالمشكلة أن الإنسان قد يستعمل سهولة المعالجة نفسها بوصفها معلومة عن العالم.
فبدل أن يقول:
> هذا التفسير سهل لأنني مدرب عليه.
قد يشعر ضم…
العقلية الثقافية هي حالة يصبح فيها نسق مترابط من المعاني وإجراءات المعالجة أكثر إتاحة. وهي لا تقدم نتيجة جاهزة، بل ترجح طريقة للبدء في تنظيم الموقف.
فحين تكون عقلية الاستقلال أكثر إتاحة، قد يزداد ترجيح:
* فصل الشخص عن سياقه،
* والانتباه إلى صفاته الداخلية،
* وتصنيف الأشياء وفق خصائصها،
* وفهم الفعل باعتباره تعبيرًا عن اختيار فردي.
وحين تكون عقلية الترابط أكثر إتاحة، قد يزداد ترجيح:
* الانتباه إلى العلاقات،
* وربط…
لا تبدأ الثقافة، وفق هذا البناء، بوصفها مجموعة من الأفكار الرفيعة أو المعتقدات المعلنة بل إنها تظهر أولًا بوصفها حلًا عمليًا لمشكلة أساسية:
> كيف يمكن لجماعة من العقول المحدودة، التي تواجه عالمًا ملتبسًا، أن تنسق انتباهها وتفسيراتها وأفعالها بما يكفي لكي تصبح الحياة المشتركة ممكنة؟
تتكون الإجابة عبر التكرار فبعض طرائق الفهم والتصرف تثبت أنها نافعة أو مقبولة أو قابلة للتنسيق داخل جماعة معينة، فتنتقل عبر:
* اللغة،
*…
❤3🔥1
Showing the 12 most recent of 20 posts we hold for @ostinatorigori. 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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
مكتبة الإقتصاد | المكتبة الإقتصادية @Economic_100 · 29,144 Telegram ranks this channel #60 of 84 here — alongside 83 others — read 8 September 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 11 September 2026 — this
entry's latest reading, not the date you are reading this.
“سفيان ناصرالله” (@ostinatorigori), 1,241 subscribers as measured 11 September 2026. Telegram Register, tgregister.com/channel/ostinatorigori.
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.