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Channel

Bets Bonus

@bets_bonuss

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Cite this entry

125,023subscribers

-13,986 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID-1001267224576
TypeChannel
Username@bets_bonuss
DescriptionSlots Free Spin: find free spin offers, best slot promos, wagering rules, and tips to claim spins responsibly. 🎁 Up to 2000 USD BONUS 👇🏼👇🏼👇🏼 https://mostbet.lv/?s=206
CreatedBetween 1 March 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live30 September 2026
Measurements held34
Confirmed unchanged1 time, most recently 30 September 2026
On Telegramt.me/bets_bonuss

Topic

Gambling & betting — 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 9 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)
Posted firstThenOverlapGap
@betting_odds_football/21451 Aug 2026, 00:08 UTC@bets_bonuss/1383 · this entry1 Aug 2026, 00:08 UTC0.95under a minute
@betting_odds_football/21524 Aug 2026, 10:11 UTC@bets_bonuss/1390 · this entry4 Aug 2026, 10:11 UTC0.95under a minute
@bets_bonuss/1398 · this entry6 Aug 2026, 17:29 UTC@betting_odds_football/21606 Aug 2026, 17:29 UTC0.95under a minute
@betting_odds_football/21575 Aug 2026, 16:02 UTC@bets_bonuss/1395 · this entry5 Aug 2026, 16:02 UTC0.95under a minute
@betting_odds_football/21617 Aug 2026, 13:00 UTC@bets_bonuss/1399 · this entry7 Aug 2026, 13:00 UTC0.94under a minute
@betting_odds_football/21637 Aug 2026, 16:18 UTC@bets_bonuss/1401 · this entry7 Aug 2026, 16:18 UTC0.94under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@betting_odds_football6 (6/6 hand-verifiable sample passed)0.94under a minutethis entry (6–0)

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 19 comparable posts for this entry, running 31 July 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 @betting_odds_football. That is a statement about our reading window, not a claim of authorship.

Views per post sit far below this size band

4.2 average views per post against 125,023 subscribers — an engagement rate of 0.003%. Across the 1,168 registered channels in the same cohort — 100,014–314,959 subscribers, posting mainly in English — the middle half sit between 0.941% and 8.76%, with a median of 3.46%.

What this was computed from
Window30 days (31 August 2026 – 30 September 2026)
Posts measured67 of 68 published in the window (67 exact, 0 rounded by Telegram)
Views totalled279
Mature posts only0.004% over 63 posts read at least 24h after publication
Subscribers125,023 measured 30 September 2026
Cohortb100000:eng · 1,168 channels · p10 0.281% · p25 0.941% · p50 3.46% · p75 8.76% · p90 16.7%
Position in cohort0.086th percentile · 1/1000 the cohort median
Uncertainty±0.231% of the figure, from Telegram’s rounding
Post languageEnglish · 100.0% of the window’s posts

When this is recorded. A channel is listed here only when its engagement rate sits at or below the 1st percentile of its cohort and is at least 3× away from that cohort’s median — below it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.

This is not a verdict, and the direction is not a quality signal. A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.

Recorded under the keys clone_source · err_low, last confirmed 30 September 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.

Growth

125,023139,009132,0167 August 2026 — 139,009 subscribers7 August 2026 — 139,009 subscribers7 August 2026 — 138,947 subscribers8 August 2026 — 138,543 subscribers9 August 2026 — 138,261 subscribers10 August 2026 — 137,927 subscribers11 August 2026 — 137,462 subscribers12 August 2026 — 137,341 subscribers14 August 2026 — 136,990 subscribers15 August 2026 — 136,771 subscribers16 August 2026 — 136,321 subscribers17 August 2026 — 135,916 subscribers18 August 2026 — 135,709 subscribers20 August 2026 — 135,551 subscribers21 August 2026 — 135,397 subscribers22 August 2026 — 133,012 subscribers24 August 2026 — 132,713 subscribers25 August 2026 — 132,530 subscribers26 August 2026 — 132,272 subscribers27 August 2026 — 132,011 subscribers28 August 2026 — 131,244 subscribers29 August 2026 — 130,806 subscribers30 August 2026 — 130,445 subscribers31 August 2026 — 130,295 subscribers1 September 2026 — 130,172 subscribers2 September 2026 — 129,929 subscribers4 September 2026 — 129,644 subscribers6 September 2026 — 129,316 subscribers10 September 2026 — 128,731 subscribers12 September 2026 — 128,176 subscribers14 September 2026 — 127,714 subscribers15 September 2026 — 127,388 subscribers17 September 2026 — 127,041 subscribers30 September 2026 — 125,023 subscribers7 August 202630 September 2026
34 measurements spanning 54 days, net -13,986. 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 122,925–141,107 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)SubscribersChange
30 Sept 2026, 06:02125,023-2,018
17 Sept 2026, 23:37127,041-347
15 Sept 2026, 16:56127,388-326
14 Sept 2026, 00:20127,714-462
12 Sept 2026, 07:41128,176-555
10 Sept 2026, 01:35128,731-585
6 Sept 2026, 17:40129,316-328
4 Sept 2026, 08:39129,644-285
2 Sept 2026, 19:39129,929-243
1 Sept 2026, 15:18130,172-123
31 Aug 2026, 14:26130,295-150
30 Aug 2026, 12:36130,445-361
29 Aug 2026, 12:38130,806-438
28 Aug 2026, 09:26131,244-767
27 Aug 2026, 07:35132,011-261
26 Aug 2026, 04:04132,272-258
25 Aug 2026, 05:53132,530-183
24 Aug 2026, 04:14132,713-299
22 Aug 2026, 13:32133,012-2,385
21 Aug 2026, 02:24135,397first reading

Engagement

162 posts held, back to 31 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 111 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.003%
avg views ÷ 125,023 subscribers
Avg views / post
4.2
65 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
66
of 162 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
WindowRolling 30 days · latest post in window 30 September 2026
Posts held162 (31 July 2026 – 30 September 2026)
Views total272
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken30 Sept 2026, 10:06 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
≈1,080
Videos
≈271
Links
≈1,300

Lifetime counters from Telegram’s own channel header, read 30 September 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.

Video runtime
2m 21s
Average length
10s

Measured directly from 14 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 reactions across 8 posts, in 6 distinct kinds. The most used accounts for 25.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍225.0%
🔥225.0%
❤112.5%
🎉112.5%
👀112.5%
👏112.5%

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 8 of the 162 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 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 162 most recent posts we hold, published 31 July 2026 to 30 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.

Recent posts

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Showing the 12 most recent of 162 posts we hold for @bets_bonuss. 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 30 September 2026 — this entry's latest reading, not the date you are reading this.

“Bets Bonus” (@bets_bonuss), 125,023 subscribers as measured 30 September 2026. Telegram Register, tgregister.com/channel/bets_bonuss.

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.