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 8 August 2026 and assigned it the closest of 31 fixed categories, at 99% 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 the other topics.
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 377 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.
No sample pairs were kept for this entry. The counts below were measured, but without the pairs there is nothing here for you to open and check, so treat the relationship as recorded rather than demonstrated.
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 2 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 330 comparable posts for this entry, running 16 February 2023 to 21 February 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 377, the earliest publisher we hold is @mash. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_mutual, 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 376 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.
326 more channels are in this same group but not listed individually here.
Growth
60 measurements spanning 92 days, net -145,948. 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 1,214,164–1,403,896 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 60
Measured (UTC)
Subscribers
Change
6 Nov 2026, 05:01
1,236,056
-1,572
5 Nov 2026, 04:18
1,237,628
-1,380
4 Nov 2026, 07:01
1,239,008
-1,280
3 Nov 2026, 06:56
1,240,288
-1,167
2 Nov 2026, 05:30
1,241,455
-1,650
1 Nov 2026, 04:41
1,243,105
-1,561
31 Oct 2026, 03:36
1,244,666
-2,137
30 Oct 2026, 00:41
1,246,803
-1,563
29 Oct 2026, 02:17
1,248,366
-1,385
28 Oct 2026, 00:45
1,249,751
-1,378
26 Oct 2026, 22:26
1,251,129
-1,406
25 Oct 2026, 22:27
1,252,535
-939
24 Oct 2026, 21:36
1,253,474
-1,383
24 Oct 2026, 00:05
1,254,857
-1,180
23 Oct 2026, 02:36
1,256,037
-1,687
22 Oct 2026, 00:34
1,257,724
-1,640
20 Oct 2026, 22:36
1,259,364
-1,577
19 Oct 2026, 20:58
1,260,941
-1,802
18 Oct 2026, 18:10
1,262,743
-1,725
17 Oct 2026, 15:28
1,264,468
first reading
Engagement
403 posts held, back to 16 February 2023 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 236 pages of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 403 posts for this entry, the most recent from 21 February 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
1,403 reactions across 20 posts, in 1 kind.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👾
1,403
100.0%
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 400 of the 403 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 838,927 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 403 most recent posts we hold, published 16 February 2023 to 21 February 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
70
across the posts below
Posts paid on
18
of 400 we hold a reading for · 5%
Most on one post
13
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @lostdogscoeng. 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 403 most recent posts we hold for this entry, published 16 February 2023 to 21 February 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.
gwoof Pack 🐺
Quick Signals status:
⏳ Only 14 days left until the End
🌸 WOOLTS staking for $WOOF – blooming and smelling good
🔧 Still, bugs are being hunted. Rough edges – polished.
Now, let's get to the real talk part.
We see all your questions, and the hottest one is: “What’s next?”.
Answer: we’re waiting for the right moment.
To relaunch REX. To launch new games 🏆
Why? 😪
Because building at full speed while the…
gwoof Pack! 🐺
The first days since our new game launch hit like this:
lots of Signals… and lots of feedback... 📡
Your reports, notes, and screenshots have been collected –
so we’re rolling out fixes for the bugs and small rough edges you’ve spotted.
Oh, and in case you missed it:
if you're a Lost Dogs NFT holder, you can get free WOOLTS in Signals.
And yes, we heard you loud and clear, our next step:
free WOOLTS …
NEW. BIG. GAME.
Lost Dogs: Signals is LIVE!
📡 https://t.me/wooltbot 📡
⏳ One day = one round.
🐶 Earn $WOOF / $TON as you shape the story.
🐺 Invite friends to get free WOOLTS.
Help the detective crack the case. 🔍
And try not to lose your mind along the way…
His apartment was the kind Dogtown forgets on purpose. 🌧️
A one-room box above a shop that never opened on time.
Smoke soaked into the curtains.
Cheap cigarettes. Cheaper skotch.
And there, right in the middle of the table, stood that thing…
A radio. 📻
Old. Dusty. Cracked.
He stared at it for days. Weeks. Months…
but it kept staying quiet.
Night after night, he waited.
For a small hiss of static.
For at leash som…
Inner Circle testers: assembled.
The "sniff test": begun.
Rainy Dogtown. Mysterious murder. A detective on the edge...
The first Signals are already being sent. 📡
Y'all know what it means:
Big. Game. Soon. 👁️👁️
He wasn’t always like this...
Before the trench coat and the smell of cheap cigarettes, he was a truly “good boy”.
Young, collar clean, eyes sharp — the kind of dog who still believed truth had weight. 😵💫
He started where all good detectives start: listening.
Behind bar counters. Under stage lights. Outside penthouse doors.
Later, he became the one, who could find anything...
Lost trinkets. Lost lovers. Lost dogs.…
Back then, Dogtown built idols and superstars the way it built lies –
fast, glossy, expensive.
But she...she was the brightest of them all. 🌟
A face on every screen. A name in every mouth.
She flew close enough to the penthouses, to hear secrets through velvet curtains.
And then, one night, the superstar fell from the sky. ☠️
That’s when THIS case has started...
The kind that eats sleep first… and sanity right aft…
The Pack had Dogtown streets.
The Pack has Portals and Bazaar.
And the Pack has its own Inner Circle.
Where the most loyal dogs reside and the biggest $WOOF believers gather.
The place from where some can touch things a bit earlier than others... 👀
Before Dogtown fell… the rain never stopped.
It washed the streets. 😓
But not the dog's sins...
The corrupt elites howled from their penthouses.
The rest learned to listen. Listen for Signals. 📡
Every billboard promised heaven – reality brought damnation.
Dogtown looked eternal.
Until it wasn’t. 💨
Showing the 12 most recent of 403 posts we hold for @lostdogscoeng. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
Named by 22 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
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@lostdogscoeng named 1 handle 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.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@domainsxnumbers named in 1 post, 8 August 2026 – 8 August 2026
Domains linked from posts
7 domains this 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 6 November 2026 — this
entry's latest reading, not the date you are reading this.
“Lost Dogs Co Eng” (@lostdogscoeng), 1,236,056 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/lostdogscoeng.
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.
