Education — 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 18 September 2026 and assigned it the closest of 31 fixed categories, at 97% 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
16 measurements spanning 65 days, net +6. 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 1,238–1,258 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
11 Oct 2026, 21:58
1,250
-6
4 Oct 2026, 23:37
1,256
+5
25 Sept 2026, 19:35
1,251
+6
15 Sept 2026, 03:41
1,245
+1
11 Sept 2026, 18:02
1,244
-6
6 Sept 2026, 18:40
1,250
+6
2 Sept 2026, 00:58
1,244
-1
29 Aug 2026, 20:05
1,245
-2
27 Aug 2026, 03:15
1,247
-2
24 Aug 2026, 01:23
1,249
-2
20 Aug 2026, 14:25
1,251
+2
17 Aug 2026, 16:25
1,249
+5
11 Aug 2026, 14:22
1,244
+4
8 Aug 2026, 14:22
1,240
-4
7 Aug 2026, 23:01
1,244
no change
7 Aug 2026, 14:17
1,244
first reading
Engagement
5 posts held, back to 28 May 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 1 page 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 5 posts for this entry, the most recent from 25 July 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
27s
Average length
14s
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
271 reactions across 5 posts, in 15 distinct kinds. The most used accounts for 32.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
87
32.1%
custom 5458694341323136053
52
19.2%
custom 5454238772315057374
30
11.1%
custom 5190586608507719227
26
9.59%
custom 5193092580191014350
18
6.64%
custom 5456426108964595077
17
6.27%
custom 5193081890017412994
12
4.43%
🔥
10
3.69%
😭
7
2.58%
✍
4
1.48%
💯
4
1.48%
⚡
1
0.369%
🏆
1
0.369%
💅
1
0.369%
😁
1
0.369%
Custom emoji. 6 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
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 5 of the 5 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 271 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 5 most recent posts we hold, published 28 May 2026 to 25 July 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.
👋 The best advice that fell on deaf ears for the longest time was to start hitting the gym. Not only am I feeling physically way better, but my anxiety level has significantly dropped
📗smth lands/falls on deaf ears - to be ignored
пропусть мимо ушей, как об стенку горохом
✏️ COMMON COLLOCETS
🟢one’s advice fell on deaf ears
🟡one’s warning landed on deaf ears
🟢one’s apologies fell on deaf ears
🤓 here is one simila…
👋 The best thing about Saint P is that the sun is too lazy to sink below the horizon bathing the alleys in a soft light for barflies who lost their way in search of the next shot
🌁 And the best way to soak up the atmosphere of White Nights is to share a drink with barflies to glide along river path and take in the picture-perfect view of draw-bridges rising in the night
🤩 When the banks, lined with cozy historical …
👋 I’m hardly ever in the mood to head out for a stroll downtown because the streets of Saint P. teem with tourists and you have to bulldoze through pesky crowds. But a ticket for a tour around historical buildings turned me into the one I hate...a gaping and clunky tourist, thanks to my gf's parents.
👀 despite fluttering fluff getting right into my eyes and street buskers strumming and yelling Shnur's bangers from t…
👋 2 main reasons why I’ve been MIA
1⃣I’ve been feeling kind of a сreative slump since you know who and what threw a spanner into tg works and it did a number on the amount of views per post in this channel…
📞 spending 2 hours on a break-down post instead of savoring summer days doesn't seem worth the juice you squeeze, gotta work on promotion
2⃣a couple of sneaky condensation drops from an ice cream tub got splatt…
Showing the 5 most recent of 5 posts we hold for @tomonhisenglishjourney. 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.
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.
JohnPlusEnglish @johnplusenglishchannel · 19,827 Telegram ranks this channel #3 of 93 here — alongside 92 others — read 29 September 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. 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 11 October 2026 — this
entry's latest reading, not the date you are reading this.
“Tom on his English journey🇬🇧” (@tomonhisenglishjourney), 1,250 subscribers as measured 11 October 2026. Telegram Register, tgregister.com/channel/tomonhisenglishjourney.
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.
