International news — 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 8 August 2026 and assigned it the closest of 31 fixed categories, at 36% 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. They sit inside a group of 9 channels that share the same post bodies with each other. 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. 3 of the 3 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 8 comparable posts for this entry, running 5 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 9, the earliest publisher we hold is @ChronotechNEWS. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_mutual, 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 8 other registered channels, 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.
6 measurements spanning 5 days, net -12,058. 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 1,402,202–1,417,878 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 05:52
1,404,011
-2,731
11 Aug 2026, 06:15
1,406,742
-2,509
10 Aug 2026, 05:55
1,409,251
-2,326
9 Aug 2026, 05:03
1,411,577
-2,845
8 Aug 2026, 01:20
1,414,422
-1,647
7 Aug 2026, 13:00
1,416,069
first reading
Engagement
58 posts held, back to 5 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 16 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
0.034%
avg views ÷ 1,404,011 subscribers
Avg views / post
475
58 posts measured
Reaction rate
0.276%
reactions ÷ views · ER floor
Posts in window
58
of 58 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 38 of 58 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 12 August 2026
Posts held
58 (5 August 2026 – 12 August 2026)
Views total
27,572
Reactions total
51
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 23:25 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
Photos
≈3,390
Videos
≈36
Links
≈4,150
Lifetime counters from Telegram’s own channel header, read 12 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
View velocity
How fast this channel’s own posts pick up views, from re-reading them repeatedly in the hours and days after they were published rather than the single reading most entries on this register get. Coverage is early and only a small minority of channels hold it at all — a gap in this section means the post has not been re-read again yet, not that nothing happened.
Computed from 38 of this channel’s own posts over the last 30 days: across 31of this channel’s own posts with a clear reading, a typical one reaches half of its last-observed view count within 6.7 hours of being posted; a typical post has already reached 15.3% of its 24-hour view count within the first hour, and 56.5% within the first six; the median 24-hour reach across those posts is 371 views — 0.026% of this channel’s own subscriber count (90th percentile 530).
8 most recently posted, with a view-velocity reading
Curve is every standard checkpoint we hold a reading for (+1h, +3h, +6h, +12h, +24h, +48h, +7d after posting) — measured where a real reading landed close enough to that age, interpolated where it did not but readings on both sides let one be worked out between them. Nothing is ever extrapolated past the last real reading. Latest reading is the newest view and reaction count we hold for the post, side by side, so a gap between how views and reactions moved is visible without following it into the Observations section above. 24h reach is that one checkpoint on its own, labelled the same way. Half of last-observed viewsis the age at which a post’s view count crossed half of the highest figure we have read for it so far — an upper bound when the very first reading was already past half (we cannot see the actual crossing), and biased low while the post is still climbing, since “half of final” is dividing by a number that has not finished growing yet. Both caveats are printed inline wherever they apply, never silently dropped.
Reaction mix
51 reactions across 37 posts, in 5 distinct kinds. The most used accounts for 27.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
14
27.5%
🤯
14
27.5%
⚡
11
21.6%
❤
6
11.8%
👀
6
11.8%
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 38 of the 58 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 51reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 58 most recent posts we hold, published 5 August 2026 to 12 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.
🔴 ALERT
🌍 At least 111 killed in Colombia's largest earthquake in years
🔗 BBC
Showing the 12 most recent of 58 posts we hold for @be_the_firsttt. 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.
Polls
The 6 most recent of 12 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
Shares as published. No per-option vote count is published by Telegram, so none is 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 58 most recent posts we hold, published 5 August 2026 to 12 August 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s.When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 8 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Auto Life @revheadcrypto · 895,645 Telegram ranks this channel #3 of 89 here — alongside 88 others — read 8 August 2026
Sports Insider @sportscryptoinsider · 888,459 Telegram ranks this channel #4 of 89 here — alongside 88 others — read 8 August 2026
INSIDER USA | News @INSIDER_USA_NEWS · 1,457,105 Telegram ranks this channel #4 of 92 here — alongside 91 others — read 8 August 2026
Sports Hub | Football @Sport_HUB_football · 1,464,940 Telegram ranks this channel #4 of 89 here — alongside 88 others — read 8 August 2026
Naija Sports Hub @Naija_Sports · 933,433 Telegram ranks this channel #5 of 90 here — alongside 89 others — read 8 August 2026
Crypto AI/AGI/ASI @cryptoAIAGI · 1,118,424 Telegram ranks this channel #8 of 89 here — alongside 88 others — read 8 August 2026
Amazing World and Travel @amazingworldtravel · 1,091,273 Telegram ranks this channel #10 of 90 here — alongside 89 others — read 8 August 2026
Sergei Sergienko @sergeisergienkoen · 3,334,222 Telegram ranks this channel #11 of 89 here — alongside 88 others — read 7 August 2026
INSIDER Deutscher | Nachrichten @INSIDER_Nachrichten · 1,163,877 Telegram ranks this channel #12 of 87 here — alongside 86 others — read 8 August 2026
Chrono.tech NEWS @ChronotechNEWS · 1,069,087 Telegram ranks this channel #14 of 91 here — alongside 90 others — read 8 August 2026
Crypto Life @cryptolifebro · 1,122,973 Telegram ranks this channel #16 of 89 here — alongside 88 others — read 8 August 2026
Crypto Games and Telegram mini Apps @NewsPlayToEarn · 2,485,412 Telegram ranks this channel #17 of 88 here — alongside 87 others — read 7 August 2026
Respawn @respawn_media · 694,657 Telegram ranks this channel #20 of 84 here — alongside 83 others — read 8 August 2026
Nairaland Pulse | News @Nigerii_News · 949,978 Telegram ranks this channel #22 of 90 here — alongside 89 others — read 8 August 2026
$MilkMania | Music Meme @MilkManiawtf · 533,934 Telegram ranks this channel #23 of 88 here — alongside 87 others — read 9 August 2026
LaborX - Web3 Jobs l Crypto & Blockchain Jobs @laborx · 1,073,172 Telegram ranks this channel #29 of 91 here — alongside 90 others — read 8 August 2026
Crypto Pulse Nigeria @Crypto_Pulse_Nigeria · 983,147 Telegram ranks this channel #30 of 90 here — alongside 89 others — read 8 August 2026
Easy busy | with Tony Schneider 🇬🇧 @easy_busy_eng · 307,601 Telegram ranks this channel #31 of 87 here — alongside 86 others — read 10 August 2026
Tap to Earn Insider @taptoearninsider · 1,069,637 Telegram ranks this channel #31 of 89 here — alongside 88 others — read 8 August 2026
کانال خبری تایم فارم @TimeFarmNewsFarsiOfficial · 206,306 Telegram ranks this channel #33 of 83 here — alongside 82 others — read 11 August 2026
RichBeak News [EN] @richbeaknewss · 700,779 Telegram ranks this channel #36 of 89 here — alongside 88 others — read 8 August 2026
TonBox @tonbox · 515,951 Telegram ranks this channel #37 of 84 here — alongside 83 others — read 9 August 2026
Crypto News @currentcryptonewsdaily · 1,086,159 Telegram ranks this channel #39 of 91 here — alongside 90 others — read 8 August 2026
Crypto Meme Foundation @CryptoMemeFoundation · 1,977,796 Telegram ranks this channel #40 of 90 here — alongside 89 others — read 7 August 2026
This channel appears in 102 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Domains linked from posts
11 domainsthis channel’s own posts have linked to, measured by scanning the post bodies themselves — not the channel’s description, which is the separate Declared links section below when this entry has one. Appearing here is not a claim about who runs the linked site or why the channel linked to it; an advertisement, a news citation and a malicious link all leave the same kind of row.
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.
“The First” (@be_the_firsttt), 1,404,011 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/be_the_firsttt.
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.
