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Channel

EZ777 | Official | Activities

@EZ777Activities

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

84,853subscribers

-3,659 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1002604611128
TypeChannel
Username@EZ777Activities
Description🎰 EZ777.COM – Easy Jackpot 🌐 Official Site: EZ777.COM 📢 Channels: @EZ777Activities · @ez777 Unlock rewards, win bigger, and enjoy nonstop entertainment every single day. Your jackpot journey starts here! 🚀
CreatedBetween 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live26 September 2026
Measurements held33
Confirmed unchanged1 time, most recently 26 September 2026
On Telegramt.me/EZ777Activities

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 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)
Posted firstThenOverlapGap
@EZ777Activities/3357 · this entry3 Aug 2026, 12:59 UTC@EZ777Channel/47607 Aug 2026, 14:03 UTC1.004 days
@EZ777Channel/47424 Aug 2026, 04:43 UTC@EZ777Activities/3359 · this entry4 Aug 2026, 04:43 UTC1.00under a minute
@EZ777Activities/3361 · this entry4 Aug 2026, 09:48 UTC@EZ777Channel/47495 Aug 2026, 09:57 UTC1.0024 hours
@EZ777Activities/3362 · this entry4 Aug 2026, 11:57 UTC@EZ777Channel/47556 Aug 2026, 13:15 UTC1.002 days
@EZ777Channel/47444 Aug 2026, 09:49 UTC@EZ777Activities/3366 · this entry5 Aug 2026, 09:58 UTC1.0024 hours
@EZ777Channel/47515 Aug 2026, 18:30 UTC@EZ777Activities/3368 · this entry5 Aug 2026, 18:30 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@EZ777Channel13 (8/8 hand-verifiable sample passed)1.00under a minute@EZ777Channel (8–5)

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. 4 of the 8 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 20 comparable posts for this entry, running 3 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 @EZ777Activities — which is this entry. 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 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

84,85388,51286,682.57 August 2026 — 88,512 subscribers7 August 2026 — 88,512 subscribers8 August 2026 — 88,450 subscribers9 August 2026 — 88,357 subscribers10 August 2026 — 88,305 subscribers11 August 2026 — 88,200 subscribers12 August 2026 — 88,107 subscribers14 August 2026 — 88,047 subscribers15 August 2026 — 87,920 subscribers17 August 2026 — 87,763 subscribers18 August 2026 — 87,695 subscribers19 August 2026 — 87,612 subscribers20 August 2026 — 87,532 subscribers21 August 2026 — 87,470 subscribers22 August 2026 — 87,328 subscribers24 August 2026 — 87,164 subscribers25 August 2026 — 87,034 subscribers26 August 2026 — 87,002 subscribers27 August 2026 — 86,936 subscribers28 August 2026 — 86,867 subscribers30 August 2026 — 86,753 subscribers30 August 2026 — 86,685 subscribers31 August 2026 — 86,617 subscribers1 September 2026 — 86,538 subscribers2 September 2026 — 86,449 subscribers3 September 2026 — 86,369 subscribers6 September 2026 — 86,220 subscribers9 September 2026 — 85,908 subscribers11 September 2026 — 85,705 subscribers13 September 2026 — 85,564 subscribers15 September 2026 — 85,492 subscribers17 September 2026 — 85,373 subscribers26 September 2026 — 84,853 subscribers7 August 202626 September 2026
33 measurements spanning 50 days, net -3,659. 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 84,304–89,061 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)SubscribersChange
26 Sept 2026, 10:0184,853-520
17 Sept 2026, 08:1985,373-119
15 Sept 2026, 06:5985,492-72
13 Sept 2026, 18:4185,564-141
11 Sept 2026, 22:3885,705-203
9 Sept 2026, 11:2085,908-312
6 Sept 2026, 00:4186,220-149
3 Sept 2026, 21:0086,369-80
2 Sept 2026, 15:0786,449-89
1 Sept 2026, 17:0586,538-79
31 Aug 2026, 20:2686,617-68
30 Aug 2026, 20:5386,685-68
30 Aug 2026, 00:0986,753-114
28 Aug 2026, 20:4686,867-69
27 Aug 2026, 20:1186,936-66
26 Aug 2026, 20:2387,002-32
25 Aug 2026, 21:3287,034-130
24 Aug 2026, 18:1387,164-164
22 Aug 2026, 23:4287,328-142
21 Aug 2026, 11:3787,470first reading

Engagement

361 posts held, back to 3 August 2026 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 112 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.357%
avg views ÷ 84,853 subscribers
Avg views / post
303
200 posts measured
Reaction rate
1.11%
reactions ÷ views · ER floor
Posts in window
200
of 361 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 196 of 200 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 30 September 2026
Posts held361 (3 August 2026 – 30 September 2026)
Views total60,659
Reactions total661
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken1 Oct 2026, 00:46 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
≈3,570
Videos
≈2
Links
≈3,600

Lifetime counters from Telegram’s own channel header, read 1 October 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.

Reaction mix

1,292 reactions across 351 posts, in 8 distinct kinds. The most used accounts for 36.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤47736.9%
🥰25920.0%
👍23818.4%
🔥17913.9%
👏906.97%
🎉251.93%
💯211.63%
😢30.232%

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 351 of the 361 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 1,292 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 361 most recent posts we hold, published 3 August 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

30 Sept 2026, 18:31 UTC54 viewsread 1 October 2026
Photo

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30 Sept 2026, 14:15 UTC142 views4 reactionsread 1 October 2026
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30 Sept 2026, 10:00 UTC182 views3 reactionsread 1 October 2026
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30 Sept 2026, 08:04 UTC173 views3 reactionsread 1 October 2026
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30 Sept 2026, 04:53 UTC218 views3 reactionsread 1 October 2026
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30 Sept 2026, 02:59 UTC211 views3 reactionsread 1 October 2026
Photo

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29 Sept 2026, 18:31 UTC202 views3 reactionsread 1 October 2026
Photo

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❤1👍1🥰1

29 Sept 2026, 14:14 UTC243 views3 reactionsread 1 October 2026
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29 Sept 2026, 12:10 UTC251 views3 reactionsread 1 October 2026
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29 Sept 2026, 10:05 UTC223 views3 reactionsread 1 October 2026
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29 Sept 2026, 08:04 UTC243 views3 reactionsread 1 October 2026
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29 Sept 2026, 05:08 UTC249 views3 reactionsread 1 October 2026
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👍1👏1🔥1

Showing the 12 most recent of 361 posts we hold for @EZ777Activities. 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

@EZ777Activities edited 1 post 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
14 September 2026
Most recent edit
14 September 2026

Mentions

Names

Channels on the register whose handles appear in this channel's posts.

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 26 September 2026 — this entry's latest reading, not the date you are reading this.

“EZ777 | Official | Activities” (@EZ777Activities), 84,853 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/EZ777Activities.

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.