4 measurements spanning 7 days, net +4. 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 3,090–3,096 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 22:48
3,095
+1
10 Aug 2026, 22:19
3,094
-1
7 Aug 2026, 18:55
3,095
+4
7 Aug 2026, 02:02
3,091
first reading
Engagement
19 posts held, back to 18 April 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 3 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
29.9%
avg views ÷ 3,095 subscribers
Avg views / post
925
2 posts measured
Reaction rate
3.51%
reactions ÷ views · ER floor
Posts in window
2
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 30 July 2026
Posts held
19 (18 April 2026 – 30 July 2026)
Views total
1,850
Reactions total
65
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 23:58 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
564 reactions across 19 posts, in 1 kind.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
564
100.0%
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 19 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 564reactions 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 18 April 2026 to 30 July 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.
جلاد، شبی در بستر خویش از خواب بیدار شد، گفت: خدایا، این چه معمای دشواریست، هرچه آنها را میکُشم، آدمیان فزونتر میشوند؛ و هر بار که میکُشم، خود هلاک میشوم.
Behramoğlu, A. (1980). Dörtlükler. ABeCe Yayınları.
Zeferli. (c. 2018-2019). Horror view of guillotine.
اگر می توان همه احساسات بشری را با چند کلمه ی محدود بیان کرد، پس این همه لغت را بشر برای چه اختراع کرده است؟ برای بیان بهتر مقصود؟ اگر انسان اولیه برای بیان مقصود بیشتر از چند کلمه در اختیار نداشت آیا بدان معناست که ما نسبت به انسان اولیه احساسات پیچیده تری داریم؟
Ghassemi, R. (1996). The Nocturnal Harmony of Wood Orchestra.
Dille, L. (1961). Man Pushing a Pram Containing His Wares and a Standing Dog.
جامعه در حقیقت قراردادی است... شراکتی است نه فقط میان زندگان،
بلکه میان زندگان، مردگان و آنان که هنوز زاده نشدهاند.
Burke, E. (1790). Reflections on the Revolution in France.
Frank, R. (c. 1951-1953). Wales.
عمل کردن بر پایه این باور که ما دانشی و قدرتی در اختیار داریم که با آن میتوانیم فرایندهای جامعه را کاملاً مطابق میل خود شکل دهیم، در حالی که چنین دانشی در واقع در اختیار ما نیست، به احتمال بسیار ما را به زیانکاریهای بزرگ میکشاند. در علوم طبیعی شاید تلاش برای ناممکن چندان زیانبار نباشد؛ اما در عرصه اجتماع، این باور خطا که اعمال قدرت میتواند نتایج سودمند به بار آورد، معمولاً به آنجا میانجامد که قدرتی تازه برای و…
وظیفه شگفت اقتصاد این است که به آدمیان نشان دهد درباره چیزهایی که گمان میکنند میتوانند طراحی کنند، چه اندک میدانند.
Hayek, F. A. (1974). The pretence of knowledge. Nobel Memorial Lecture, December 11, 1974. The Nobel Foundation.
بهزودی با نمونههای دیگری نشان خواهیم داد که هیچ ملتی از پیامدهای ساختار روانی خود نمیگریزد؛ و اگر هم برای لحظهای از این تأثیر رها شود، این رهایی جز برای زمانی کوتاه نیست، همانگونه که شنِ برخاسته در توفان، برای لحظهای چنین مینماید که از قوانین جاذبه سر باز زده است.
این پنداری کودکانه است که گمان کنیم حکومتها و قانونهای اساسی در سرنوشت یک ملت چیزی به حساب میآیند. سرنوشت یک ملت در خود اوست، نه در شرایط بیرونی…
چه انگلیسیها در رأس خود پادشاهی داشته باشند، چنانکه در انگلستان دارند، و چه رئیسجمهوری، چنانکه در ایالات متحده دارند، حکومتشان همواره همان ویژگیهای بنیادی را خواهد داشت: نقش دولت به کمترین حد فروکاسته میشود و نقش افراد و ابتکار شخصی به بیشترین حد میرسد؛ وضعیتی که درست نقطه مقابل آرمان لاتینی است. بندرها، کانالها، راهآهنها، مراکز آموزشی و مانند آن، همواره به ابتکار افراد پدید میآیند و نگهداری میشوند، نه به…
پروپاگاندا مردم را فریب نمیدهد؛
فقط به آنان کمک میکند خودشان را فریب دهند.
Hoffer, E. (1955). Passionate State.
Bourke-White, M. (1937). Louisville Flood.
در وضعیت بیگانهوار کنونی در رسانههای ارتباط جمعی، هر شهروند معمولی یک دوجین شخصیت تلویزیونی میشناسد که هر بعدازظهر لبخندزنان به اتاق نشیمنش میآیند، ولی خودش هرگز شناخته نمیشود.
در این وضعیت از خودبیگانگی و گمنامی که تحملاش برای هر کسی دردناک است، یک انسان به راحتی میتواند خیالپردازیهایی داشته باشد که به ناهنجاری واقعی پهلو میزند.
خلق و خوی فرد گمنام این است که اگر نمیتوانم بر کسی تاثیر بگذارم یا لمسش کنم…
برخی چیزها را نمیتوان از یکدیگر جدا کرد؛ به هم پیوستهاند و جداییناپذیرند. سرشتهای سست، یا رو به خواب میروند، یا به بیداریای دچارند که چندان فرقی با خواب ندارد؛ زیرا از عناصری بیرمق و بیجنبوجوش ساخته شدهاند.
اما برای پدید آمدن انسانی که بتوان با تأمل و احترام نام انسان بر او گذاشت، سرنوشتی سختتر لازم است.
راه چنین انسانی هموار نخواهد بود. باید فراز و فرود را بگذراند، در تلاطم بیفتد و کشتی خود را در آبهای…
انسان آنگاه به شرافت میرسد که رنج، همهی بهانههای فرو افتادن را پیش پایش بگذارد، اما او همچنان ایستادن را برگزیند.
Seneca, L. A. (1928). De Providentia.
Ahmed, S. (n.d.). Nudes & Noises.
کرامول میگفت: نُهدهم مردم از من بیزارند؛
اما چه باک، وقتی آن یکدهمِ باقیمانده مسلحاند.
Silone, I. (1938). The School for Dictators.
Schutzer, P. (1961). West Berliners at the Berlin Wall, Berlin, Germany.
❤41
Showing the 12 most recent of 19 posts we hold for @usedata. 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 — 827,183 of 1,481,277entries 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 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 13 August 2026 — this
entry's latest reading, not the date you are reading this.
“Use it or Lose it” (@usedata), 3,095 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/usedata.
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.