Gambling & betting — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 25 September 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.
Growth
19 measurements spanning 47 days, net -50. 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 29,814–29,964 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
21 Oct 2026, 01:01
29,831
-2
19 Oct 2026, 21:28
29,833
-11
18 Oct 2026, 18:30
29,844
-2
17 Oct 2026, 15:05
29,846
+9
16 Oct 2026, 11:47
29,837
-10
15 Oct 2026, 10:20
29,847
-15
14 Oct 2026, 11:41
29,862
+4
13 Oct 2026, 02:00
29,858
-25
8 Oct 2026, 18:57
29,883
-26
4 Oct 2026, 08:56
29,909
-38
25 Sept 2026, 19:36
29,947
+33
17 Sept 2026, 06:54
29,914
+16
15 Sept 2026, 08:18
29,898
+50
13 Sept 2026, 19:21
29,848
-24
12 Sept 2026, 00:20
29,872
+9
9 Sept 2026, 16:00
29,863
-32
6 Sept 2026, 05:37
29,895
+14
4 Sept 2026, 06:22
29,881
no change
4 Sept 2026, 05:47
29,881
first reading
Engagement
36 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 66 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
8.17%
avg views ÷ 29,831 subscribers
Avg views / post
2,440
11 posts measured
Reaction rate
1.18%
reactions ÷ views · ER floor
Posts in window
11
of 36 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 21 October 2026
Posts held
36 (31 July 2026 – 21 October 2026)
Views total
26,809
Reactions total
316
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
22 Oct 2026, 04:43 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
≈1,430
Videos
≈16
Links
≈1,450
Lifetime counters from Telegram’s own channel header, read 22 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
1,041 reactions across 36 posts, in 8 distinct kinds. The most used accounts for 97.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,012
97.2%
👍
7
0.672%
👏
6
0.576%
🔥
6
0.576%
🥰
4
0.384%
🤔
3
0.288%
🍌
2
0.192%
😁
1
0.096%
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 36 of the 36 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 1,041 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 36 most recent posts we hold, published 31 July 2026 to 21 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.
Showing the 12 most recent of 36 posts we hold for @pglsnet. 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.
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.
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 September 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.
เครดิตฟรี HISO168 @PGSLOTHISO · 20,776 Telegram ranks this channel #1 of 71 here — alongside 70 others — read 28 September 2026
𝐒𝐔𝐏𝐄𝐑𝐒𝐋𝐎𝐓 𝐖𝐀𝐋𝐋𝐄𝐓 @slotpgwallet · 28,577 Telegram ranks this channel #1 of 68 here — alongside 67 others — read 10 September 2026
MARVEL456 FREE50 @MARVEL456FREE50 · 33,478 Telegram ranks this channel #1 of 71 here — alongside 70 others — read 4 September 2026
PGLS เครดิตฟรีล่าสุด @PGLS_SLOT · 18,978 Telegram ranks this channel #2 of 67 here — alongside 66 others — read 4 October 2026
ยักษ์888 - YAK888 @yak888bet · 35,237 Telegram ranks this channel #2 of 61 here — alongside 60 others — read 6 September 2026
KTVC4 บริการเครดิตฟรี🩷 @ktvc4slot · 37,426 Telegram ranks this channel #2 of 37 here — alongside 36 others — read 4 September 2026
BOM789_NF @bom789_nf · 22,083 Telegram ranks this channel #3 of 74 here — alongside 73 others — read 19 September 2026
XONE.BETS OFFICIAL @xonebets · 27,593 Telegram ranks this channel #4 of 70 here — alongside 69 others — read 9 September 2026
𝙇𝙐𝙓𝙐𝙍𝙔 𝟴𝟴 @redbull888go · 32,892 Telegram ranks this channel #4 of 66 here — alongside 65 others — read 4 September 2026
PGLS FREE50 @PGLSFREE50 · 43,207 Telegram ranks this channel #4 of 68 here — alongside 67 others — read 4 September 2026
เป๋าตุง [paotung] @paotunggame · 27,272 Telegram ranks this channel #5 of 72 here — alongside 71 others — read 15 September 2026
lava345 แตกจริงถอนจริง @lava345 · 24,650 Telegram ranks this channel #6 of 66 here — alongside 65 others — read 14 September 2026
ANTI AUTO789 สล็อตมังกรเขียว @antiauto · 37,357 Telegram ranks this channel #6 of 68 here — alongside 67 others — read 4 September 2026
หัวหน้าแต่ง ขวัญใจสายภูธร @Huanhataeng · 53,308 Telegram ranks this channel #6 of 75 here — alongside 74 others — read 4 September 2026
PGPLAY999 (แจ้งข่าวสาร) V.2 @Lava1688th · 24,692 Telegram ranks this channel #7 of 67 here — alongside 66 others — read 13 September 2026
PG.GAME @PGGGAMES · 25,810 Telegram ranks this channel #9 of 67 here — alongside 66 others — read 14 September 2026
Bwin.GAME @Bwingaming · 49,608 Telegram ranks this channel #9 of 60 here — alongside 59 others — read 4 September 2026
KTVC4 แจกให้รับฟรี🧩 @krvc4 · 71,691 Telegram ranks this channel #9 of 64 here — alongside 63 others — read 4 September 2026
NEKO777 โปรโมชั่น @SLOTNEKO777 · 21,363 Telegram ranks this channel #10 of 64 here — alongside 63 others — read 24 September 2026
ทุฟรี 50 ไม่ต้องฝาก @T_TW2X · 26,446 Telegram ranks this channel #10 of 69 here — alongside 68 others — read 14 September 2026
เครดิตฟรี Marvel456 @Marvel456slot · 28,190 Telegram ranks this channel #10 of 68 here — alongside 67 others — read 10 September 2026
TGS888 VVIP @dgslot888 · 28,861 Telegram ranks this channel #10 of 72 here — alongside 71 others — read 9 September 2026
รวมเครดิตฟรี By.อาจารย์แดง @pk789co · 31,788 Telegram ranks this channel #10 of 68 here — alongside 67 others — read 8 September 2026
TGS888 @tgs888_pg · 55,965 Telegram ranks this channel #10 of 69 here — alongside 68 others — read 4 September 2026
This channel appears in 80 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.
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 21 October 2026 — this
entry's latest reading, not the date you are reading this.
“PG Slot Ls” (@pglsnet), 29,831 subscribers as measured 21 October 2026. Telegram Register, tgregister.com/channel/pglsnet.
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.