28 measurements spanning 30 days, net +140. 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 10,216–14,689 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 28
Measured (UTC)
Subscribers
Change
6 Sept 2026, 19:22
11,514
-522
4 Sept 2026, 05:20
12,036
-1,059
2 Sept 2026, 16:44
13,095
-244
1 Sept 2026, 17:35
13,339
-641
31 Aug 2026, 17:07
13,980
-7
30 Aug 2026, 17:25
13,987
-186
29 Aug 2026, 15:07
14,173
+1,487
28 Aug 2026, 16:47
12,686
+1,954
27 Aug 2026, 16:28
10,732
-243
26 Aug 2026, 19:37
10,975
-243
25 Aug 2026, 20:36
11,218
-9
24 Aug 2026, 22:35
11,227
+20
23 Aug 2026, 08:29
11,207
+47
21 Aug 2026, 17:09
11,160
+116
20 Aug 2026, 15:16
11,044
-6
19 Aug 2026, 17:21
11,050
-18
18 Aug 2026, 16:45
11,068
-22
17 Aug 2026, 19:49
11,090
-33
16 Aug 2026, 14:45
11,123
-96
15 Aug 2026, 00:46
11,219
first reading
Engagement
70 posts held, back to 28 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 45 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
7.64%
avg views ÷ 11,514 subscribers
Avg views / post
880
48 posts measured
Reaction rate
0.836%
reactions ÷ views · ER floor
Posts in window
48
of 70 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 44 of 48 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 2 September 2026
Posts held
70 (28 July 2026 – 2 September 2026)
Views total
42,237
Reactions total
315
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
2 Sept 2026, 20:39 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
Video runtime
10s
Average length
5s
Measured directly from 2 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
2,843 reactions across 66 posts, in 25 distinct kinds. The most used accounts for 49.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
1,407
49.5%
❤
839
29.5%
✍
100
3.52%
👏
73
2.57%
👌
62
2.18%
👍
43
1.51%
🥰
42
1.48%
🕊
40
1.41%
🎉
37
1.30%
👨💻
30
1.06%
💯
28
0.985%
🫡
25
0.879%
🤯
23
0.809%
🗿
20
0.703%
🏆
18
0.633%
🐳
14
0.492%
🆒
13
0.457%
👀
7
0.246%
😁
6
0.211%
🎃
5
0.176%
5 further kinds
11
0.387%
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 66 of the 70 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 2,843 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 70 most recent posts we hold, published 28 July 2026 to 2 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.
CONVICTION CALL - $TART
Frens, this is the kind of setup I want in this channel.
Not another BNB token launching with a website, promises and a roadmap.
$TART launched with the actual ecosystem already built.
DEX ✅
Staking ✅
LP Farms ✅
OTC Desk ✅
On-chain Games ✅
All running around one token on BNB Chain.
Fixed 10B supply.
No mint function.
Buyback + burn mechanics.
~12% supply burned at launch.
LP locked for 1…
Now $ROBIN got 31X since my first call and are charging leg.
If you joined after my last post you gained 3 solids X
So community are doing true power here. Hell yeah. Let's gooo $Robin..
Ca:
0xf051ea98319b066eb493e191a0e37e24de514f14
Dex: https://dexscreener.com/robinhood/0x033fd2d3b3c3d9145430ef969542ce3fe94561aa
When I called $ROBIN on my Twitter, it was very low. It was a project that had community that slowly success. Built and created in Sentry, they are also making a good journey.
Right now since my first call, $ROBIN got 13.5X, but it's not the end yet. You still have opportunities if you like the narrative and the Birds.
Ca:
0xf051ea98319b066eb493e191a0e37e24de514f14
Dex: https://dexscreener.com/robinhood/0x033fd2d3…
Nice one $NLYRA, 5.1X since my first call. Graduated from my Jackpot channel and they want consolidated in Robinhood to the most great AI tool in the chain. They have anti-rug scanner already live.
Real tool. Real utility. First-mover advantage. Check his utility, team is building more y more in organic way.
These kind of things are appreciated.
Web: https://nlyra.xyz
Dex: https://dexscreener.com/robinhood/0xb9d3…
Meet $LALACAT graduated from jackpot channel and 6.5X made there
Vitalik literally asked if people would be comfortable tweeting:
“LA LA LA LA LA I AM A CAT” 🐱🐱
Back in 2022, this tweet had no context at all. At the time, it was just a random shitpost.
But look at the market today.
The cat meta is everywhere.
Check
https://x.com/VitalikButerin/status/1589140399985414145
Ca:
0x331b85D8cFDB9FF8DBE6E30d4C325a1aDcc…
I see $WIFH charging next leg after dip and some jeets out. The token looks like with force to surpassed ATH. If you see from now 220k mc to ath are almost 3X. Team is still here and based people in the community.
Higher!!!!
CA:
0x4606Bd72EbA7259c40F910ECD76CF82950C0428C
DEX:
https://dexscreener.com/robinhood/0xce6d96eb098b8b7c158b7580bf4d12f387e93565
All welcome to the public chat. Share your plays, degen, talks and do things. Nfa. All chill.
@TheOGRoom
https://x.com/ShibaXanders/status/2092763288761205039
Meet $MARTIANS one of the most viral right now narras. Elon interact here and communty are great workers. The true is that is very inspired work. Is not young token. This is future and present.
Take a look
Ca: 7nLukVng5teXze14rum9v57juXLjUp7JJnCveko1pump
Dex: https://dexscreener.com/solana/42SrahWLALtSf9uHs8JsjvwjJXj5gLbEnQCjXkyK4Eho
My best wishes frens!!
❤1
Showing the 12 most recent of 70 posts we hold for @XandersOGCALLS. 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.
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 6 September 2026 — this
entry's latest reading, not the date you are reading this.
“XANDERS OG CALLS🆙” (@XandersOGCALLS), 11,514 subscribers as measured 6 September 2026. Telegram Register, tgregister.com/channel/XandersOGCALLS.
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.