Gaming — 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 10 August 2026 and assigned it the closest of 31 fixed categories, at 100% 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. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 32 comparable posts for this entry, running 1 August 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 @bfsnews — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_source, last confirmed 8 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.
46 measurements spanning 76 days, net -858. 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 45,244–49,436 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 46
Measured (UTC)
Subscribers
Change
23 Oct 2026, 00:44
46,089
+361
21 Oct 2026, 22:30
45,728
-170
20 Oct 2026, 15:47
45,898
-83
19 Oct 2026, 13:11
45,981
-122
18 Oct 2026, 13:32
46,103
-116
17 Oct 2026, 13:37
46,219
-107
16 Oct 2026, 16:04
46,326
-91
15 Oct 2026, 18:50
46,417
-168
14 Oct 2026, 16:16
46,585
-122
13 Oct 2026, 06:49
46,707
-429
8 Oct 2026, 22:15
47,136
-638
4 Oct 2026, 11:38
47,774
-586
25 Sept 2026, 22:38
48,360
-513
19 Sept 2026, 02:55
48,873
+956
16 Sept 2026, 18:20
47,917
+1,044
14 Sept 2026, 21:58
46,873
-233
13 Sept 2026, 09:56
47,106
-182
11 Sept 2026, 16:40
47,288
-319
9 Sept 2026, 00:35
47,607
-307
5 Sept 2026, 17:15
47,914
first reading
Engagement
167 posts held, back to 1 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 159 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
15.4%
avg views ÷ 46,089 subscribers
Avg views / post
7,120
32 posts measured
Reaction rate
0.394%
reactions ÷ views · ER floor
Posts in window
32
of 167 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 October 2026
Posts held
167 (1 August 2026 – 22 October 2026)
Views total
227,790
Reactions total
898
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
22 Oct 2026, 19:30 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.
What this channel posts
Video runtime
1m 39s
Average length
25s
Measured directly from 4 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
8,543 reactions across 167 posts, in 43 distinct kinds. The most used accounts for 48.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
4,147
48.5%
👍
1,186
13.9%
💔
559
6.54%
😭
547
6.40%
❤🔥
490
5.74%
🔥
378
4.42%
😢
309
3.62%
👾
143
1.67%
😱
137
1.60%
🫡
69
0.808%
💘
67
0.784%
🌚
61
0.714%
🤯
51
0.597%
🤔
44
0.515%
💊
33
0.386%
🤣
29
0.339%
🍌
25
0.293%
😨
22
0.258%
🙉
21
0.246%
🍾
19
0.222%
23 further kinds
206
2.41%
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 167 of the 167 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 8,543 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 167 most recent posts we hold, published 1 August 2026 to 22 October 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.
Telegram Stars
Stars received
44
across the posts below
Posts paid on
22
of 167 we hold a reading for · 13%
Most on one post
9
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @bfsnews. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 167 most recent posts we hold for this entry, published 1 August 2026 to 22 October 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
📣 Почему разработчики Blox Fruits забывают про старые фрукты? ⚔️
ℹ️ В последнее время разработчики реворкают фрукты, которые раньше почти никто не использовал. Проблема в том, что разработчики продолжают добавлять новые Mythical Fruits, мутации и Chromatic-скины, а старые фрукты остаются без внимания. Gravity, Eagle, Creation и Pain получили вторую жизнь, но что насчёт остальных?
❗️ Flame до сих пор ждёт полноценно…
📣 Кровавое море во время Halloween Event? 👻
ℹ️ Shafi показал довольно странную механику - море полностью меняет цвет и становится красным.
❗️ Тут у меня появилась интересная теория: во время Halloween Event море может стать красным, как пунш, а над картой появится Blood Moon.
ℹ️ Если разработчики действительно изменят не только море, но и небо с атмосферой на всех островах, Halloween Event будет выглядеть куда мас…
📣 Всем привет, это Малттуг!
ℹ️ Как вы знаете, долгое время я был главным редактором и автором постов в этом канале. Буквально подняв его с нуля, мы вместе с Роджером активно развивали его и удерживали в топе среди новостных каналов.
Примерно 5–6 месяцев назад я передал ведение канала Максу. Он искал информацию и готовил посты для вас, за что ему огромное человеческое спасибо! В тот период у меня практически не было …
📣 ЧТО СКРЫВАЕТСЯ ЗА ОГНЕННЫМИ ДВЕРЯМИ?
👻 Главный секрет Halloween 2026 связан с чем-то гораздо более опасным, чем Werewolf.
В прошлом году одной из главных угроз Halloween был Werewolf, который мог появиться за одной из дверей.
Но в новом Bulletin #025 разработчики намекают на нечто совершенно другое.
В бюллетене описывается странная ситуация: рядом с дверями замечают нечто окружённое неестественным пламенем.
Те, ко…
📣 POTION WITCH И НОВАЯ SPOOKY GACHA!
ℹ️ В Halloween 2026 появятся новые зелья, отдельная валюта и целая система наград!
🧪 Ведьма возвращается!
Potion Witch вновь появится во время хэллоуинского события. Вместе с ней вернутся и старые зелья, однако в этот раз ассортимент пополнится ещё двумя совершенно новыми напитками.
🎰 Spooky Gacha от Zioles
Второе крупное нововведение — Spooky Gacha.
Для прокруток будет использ…
📣 ЖУТКИЕ ВСТРЕЧИ, TAROT CARDS И ЖИВЫЕ ТЫКВЫ!
🎃 В этом году Halloween в Blox Fruits станет ещё страннее.
Помимо возвращения старых механик, разработчики показали несколько новых элементов, которые могут заметно разнообразить прохождение события.
🃏 Tarot Cards
В бюллетене упоминаются загадочные карты Таро, способные каким-то образом предсказывать судьбу игрока.
Пока неизвестно, как именно будет работать эта механика:…
📣 HALLOWEEN DOORS ВОЗВРАЩАЮТСЯ!
ℹ️ Знакомые двери снова откроются по всему миру Blox Fruits!
Одним из главных элементов Halloween 2026 станут возвращающиеся Halloween Doors, связанные с Harvest Moon.
В этот раз они, судя по анонсу, будут играть гораздо более заметную роль в событии.
🔎 Как это будет работать?
Игроки смогут исследовать острова и взаимодействовать с загадочными дверями. Подходишь к двери, стучишь — и …
📣 BLOX BULLETIN #025 УЖЕ В СЕТИ!
❗️ Разработчики Blox Fruits наконец показали, что нас ждёт на Halloween 2026!
Вышел новый выпуск The Blox Bulletin #025, и, судя по анонсу, в этом году нас ждёт куда больше, чем простое возвращение прошлогоднего ивента.
👀
ℹ️ Вот что удалось обнаружить в новом бюллетене:
🎃 Halloween Doors — таинственные двери вновь появятся по всему миру.
🌕 Harvest Moon — знакомая атмосфера Хэллоуина…
📣 Появился новый Uncommon Box S4!
Ранее мы уже находили MythicalBoxS4, который, судя по названию, относится к новому сезону мерча Blox Fruits.
ℹ️ Теперь появился ещё один бокс — UncommonBoxS4.
Это уже второй найденный бокс серии S4, поэтому всё больше похоже на то, что разработчики готовят полноценную новую линейку мерча с боксами разных редкостей.
❗️ Пока неизвестно, какие именно награды будут внутри Uncommon Bo…
📣 Crash оказался одним из хелперов Blox Fruits!
ℹ️ После недавнего появления у разработчиков тестового плейса «crash patch» нашлась ещё одна интересная деталь.
Crash — это ник одного из хелперов Blox Fruits, который напрямую связан со стаффом игры.
В Discord он известен как crash / nottisaiah, а его Roblox-аккаунт dutbooot также подписан как Crash.
Кроме того, этому аккаунту выдавали кастомный титул:
「の王 King of…
❤21⚡1👍1💔1💘1
Showing the 12 most recent of 167 posts we hold for @bfsnews. 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.
Posts edited after publishing
@bfsnews edited 4 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
31 August 2026
Most recent edit
21 October 2026
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
Дорогие друзья, как вы думаете мне делать раздачи каждый день?
Приватный сервер 🎉32%
Викторина (ВОПРОС-ОТВЕТ) 🎉25%
Быстрые розыгрыши без условий 💞67%
The shares total 124%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 167 most recent posts we hold, published 1 August 2026 to 22 October 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Mentions
Named by 20 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.
Handles this channel named that no longer answer
Dead references
2
handles named in this channel’s posts, vacant today
Evidenced gone
2
we ourselves saw one of these resolve, at some point
Never seen alive
0
vacant every time we have ever looked
@bfsnews named 2 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
@podvalfkakks named in 3 posts, 28 August 2026 – 4 September 2026 · confirmed gone 14 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
@blox_fruit_new named in 2 posts, 1 October 2026 – 4 October 2026 · confirmed gone 14 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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 23 October 2026 — this
entry's latest reading, not the date you are reading this.
“Blox Fruits • News” (@bfsnews), 46,089 subscribers as measured 23 October 2026. Telegram Register, tgregister.com/channel/bfsnews.
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.