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 19 September 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 why it has no browse page of its own yet.
Growth
8 measurements spanning 42 days, net -10. 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 890–907 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
18 Sept 2026, 21:21
892
-6
10 Sept 2026, 03:59
898
-5
31 Aug 2026, 14:19
903
-2
23 Aug 2026, 13:36
905
+3
16 Aug 2026, 14:06
902
-1
8 Aug 2026, 11:56
903
+1
8 Aug 2026, 01:03
902
no change
7 Aug 2026, 18:53
902
first reading
Engagement
7 posts held, back to 8 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 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 7 posts for this entry, the most recent from 28 July 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
1m 08s
Average length
1m 08s
Measured directly from 1 video 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
86 reactions across 7 posts, in 3 distinct kinds. The most used accounts for 40.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
35
40.7%
custom 5454045674880401532
29
33.7%
✍
22
25.6%
Custom emoji. One row above is a 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 count beside it is 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 7 of the 7 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 86 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 7 most recent posts we hold, published 8 July 2026 to 28 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.
PARTING SHOT
The New Yorker tells the story of Stormy Morse, a woman from Maryland who lost two partners to gun suicide. After her second partner died, she discovered he had secretly left his life savings not to her but to the N.R.A., America's most powerful gun-rights organization. The article follows her eighteen-month legal fight to get that money back, and along the way it paints a devastating picture of how gun…
Central Park looks like a piece of wilderness that somehow survived in the middle of Manhattan. That's the illusion. Not one tree there is an accident.
In the 1850s this land wasn't idyllic at all. It was swamps, pig farms, and shacks. To build a "natural" landscape, the city cleared out around 1,600 people, including Seneca Village, one of the first communities where Black New Yorkers owned their own land. It was s…
Monday Trio Week 12
I'm back after my little summer break. I have big plans for the channel and, hopefully, I'll start putting them into action asap. For now, here's our traditional Monday Trio. Drop your answers in the comments, and don't forget to use the spoiler feature 🙂
#vocabulary #mondaytrio
The doors are open again 🌉
We're taking new members this week. Join now and you'll catch the discount before it closes.
Drop "I'm in" in the comments below or DM me @maybealexandr1
I'll answer whatever you're wondering and show you what a week inside the club actually looks like.
#speakingclub
Silo Vocabulary Dump
I’ve just watched the first episode of the 3rd season of Silo and decided to put together a vocab dump. It seems to me that I won’t be able to resist the temptation of reading the book before the next episode comes out. That said, I’ve looked it up and found out that the narrative in the series is a tad different from that in the book. Is there anyone who has watched the series / read the books?…
🔥8custom 54540456748804015325✍3
Showing the 7 most recent of 7 posts we hold for @maybealexander1. 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.
🟣🟢 English Trunk | Английский язык @trunkietrunk · 53,625 Telegram ranks this channel #31 of 66 here — alongside 65 others — read 24 August 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“maybealexander | advanced English | American culture” (@maybealexander1), 892 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/maybealexander1.
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.
