Sports — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 11 August 2026 and assigned it the closest of 31 fixed categories, at 79% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (6 of the pairs behind the counts below)
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 1 of the 7 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.
“Published first” means first in this corpus. We hold 12 comparable posts for this entry, running 29 June 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Across the whole group of 2, the earliest publisher we hold is @ruzgarifootball. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_copy, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
4 measurements spanning 7 days, net +3. 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 1,928–1,931 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 22:43
1,931
+1
9 Aug 2026, 14:14
1,930
+1
6 Aug 2026, 09:44
1,929
+1
6 Aug 2026, 06:47
1,928
first reading
Engagement
21 posts held, back to 27 June 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 2 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
35.3%
avg views ÷ 1,931 subscribers
Avg views / post
681
10 posts measured
Reaction rate
2.72%
reactions ÷ views · ER floor
Posts in window
10
of 21 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 7 August 2026
Posts held
21 (27 June 2026 – 7 August 2026)
Views total
6,813
Reactions total
185
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 17:14 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 29s
Average length
1m 04s
Measured directly from 7 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
323 reactions across 20 posts, in 17 distinct kinds. The most used accounts for 59.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
193
59.8%
🔥
27
8.36%
💯
19
5.88%
👏
17
5.26%
💔
16
4.95%
🖕
11
3.41%
🤮
8
2.48%
👎
7
2.17%
🍓
6
1.86%
👍
4
1.24%
💩
4
1.24%
🤣
4
1.24%
😁
2
0.619%
🥰
2
0.619%
❤🔥
1
0.31%
👌
1
0.31%
😍
1
0.31%
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 21 of the 21 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 334reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 21 most recent posts we hold, published 27 June 2026 to 7 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.
یک غروب در اوج ایام کرونا، هنگام مد دریا در مجاورت میدان سن مارکو در ونیز، شاهد یک اثر هنری شکوهمند بودم. میدان خالی از توریست و جمعیت بود و درست در یکی از اون لحظاتی که تصویر کلیسای سن مارکو در آب منعکس میشه، ناقوس کلیسا شروع به نواختن کرد و با هر ضربه در فضای نارنجی سن مارکو با انعکاسی حیرت انگیز صدای ناقوس پخش میشد. شوربختانه این اثر فقط چند ثانیه ادامه پیدا کرد و بعد از اون هر بار به اون فضا برگشتم، از شدت شلوغ…
و تو چه میدانی از این خشمِ تمام عیارِ شکل گرفته در سلول به سلولِ تن های زخم برداشته!
و چگونه تاریخ میخواهد این حجم از بغض و کینه ای ما را برای آیندگان توصیف کند.
که شهر من بوی خون میدهد و چشم هایش به زمین خیره مانده... .
حیران از این پیچ تاریخی که گیر کرده روی یک تهوع تمام نشدنی.
از صبر تاریخ که این عذابِ حقیر را بالا نمی آورد در زباله دان تاریخ....
@Football_Noostalgia
کی شود دریا به پوز سگ نجس!
کی شود خورشید از پُف منطمس!
اگر اسمی از فوتبال ما باقیس به اعتبار شماست،علی آقا!
نه مشتی خود فروخته فرومایه بی شخصیت و گداصفت که برای یک ریال برای هر کفتاری دم تکان میدهند.
کسانی که برای اسطوره شدن گدایی میکنن!
نمیدانند اسطوره شدن چیزی میخواهد که در وجود هفت نسل اینها هم نمیشود پیدا کرد.
@Football_Noostalgia
مارسل پروست گفته بود که زمان، آدمها را دگرگون می کند؛ اما تصویری که از آنها داریم را ثابت نگه میدارد.
اما برای تو،انگار همه چیز ثابت مانده است.
انگار از همان ابتدا که تو را کشف کردن،همچنان همه ای استعدادت ثابت مانده.
تو چقدر خوشبختی لئو!
تو هنوز میتوانی در معتبر ترین آوردگاه،از ته دل فریاد بزنی.
از اعماق وجودت ذوقی داشته باشی که تو را در آسمان ها برساند.
امید یک ملت و طرفدارانت باشی و هیچوقت ناامیدشان نکنی.
با آن س…
انگلیسی ها زخم زده بودند.
البته که خودشون فوتبال و جنگ رو به هم دیگه ربط دادن و به همه فخر فروختن.
وقتی در فینال جام جهانی ۱۹۶۶ تونستن تنها جام جهانیشون رو در رقابت با آلمان ها در فینال بگیرن یه کُری معروف و البته عمیق برای اونها خوندن؛
"ما یک جام جهانی داریم و دو جنگ جهانی"
بیست سال بعد مردی اومد تا انتقامِ جام و جنگ را یک جا بگیره.
آرژانتینی ها از چهارسال قبل ترش در جنگ فالکلند زخم داشتند.
جایی که نبرد با بریتانیا…
سالگرد رفتن شما،همان زمانی شده که برای لحظات پایانی تورنومنت جام جهانی همیشه داستان های جذاب برای ما تعریف میکردید.
اگر امشب شما در آستانه جدال تاریخی انگلیس و آرژانتین در کنار ما بودین شک نداشتم از حماسه مارادونا انتقامش، آنچنان زیبا و دلنشین سخن میگفتین که ما میخ میشدیم به شنیدن.
چقدر دلمان برای رمزگشایی حرف های به ظاهر ساده شما برای زندگی که در آن گرفتاریم تنگ شده چون فوتبال فاصله ای با واقعیت ندارد.
از قصه های بی…
بعضیها با جام ها معروف میشن و بعضی ها با رکوردها
اما اسطورهها با ادامه دادن ساخته میشن.
#لیونل_مسی ثابت کرد که بزرگ بودن فقط به بردن نیست، به اینه که هر بار بعد از شکست دوباره بلند شی و بدون اینکه صدات رو بالا ببری با فوتبالت جواب بدی.
سالها هر کاری کردند تا کمرنگش کنند و مقایسهاش کردند زیر سؤال بردنش، اما مسی فقط ادامه داد. آنقدر ادامه داد، آنقدر در اوج ماند، آنقدر تاریخ ساخت که حتی خیلی از کسانی که روزی از ا…
در چنین روزی از سال ۹۸
شرح یکی از بهترین گلهای تاریخ جام جهانی از زبان #برگکمپ
گل مقابل آرژانتین برترین گل من است. گلی مانند آن، به سبک من، در آن مرحله. عکس العمل من بعد از گل احساسی بود زیرا رویای جام جهانی را بیاد آورد که از هفت - هشت سالگی در ذهن داشتم. چطور آن را انجام دادم؟ اول یک ارتباط چشمی با فرانک دی بوئر وجود داشت، او حرکت را شروع کرد تا توپ را به من برساند. سپس با نهایت سرعت دویدم و 6 یارد از دفاع فاصله…
با درد قد کشید
با اشک آموخت
و با رنج ستاره شد.
به بیست سال پیش که فکرمیکنیم،همان زمان که بعد از اولین گلش در جام جهانی به ایران،فریاد کشید و آنچه ما در این بیست سال از او دیدیم،چیزی جز جاه طلبی و عطشِ رسیدن به هدف های رویایی به یادمون نمیمونه.
اینکه امشب باید اولین وداع کریس را شاهد باشیم آنهم در ۴۱ سالگی و در آوردگاهی شبیه به جام جهانی،بازهم از جاه طلبی کریس رونالدوست.
مردی که شبیه به یک افسانه در فوتبال درخشید و …
👏10❤5🖕3👎1
Signed 🐾🤍𝕊𝕆ℝ𝔸𝕐𝔸🤍
Showing the 12 most recent of 21 posts we hold for @Football_Noostalgia. 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.
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 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“نوستالژی فوتبالی” (@Football_Noostalgia), 1,931 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/Football_Noostalgia.
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.
