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 22 September 2026 and assigned it the closest of 31 fixed categories, at 54% 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
4 measurements spanning 20 days, net -2. 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 313–315 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
27 Aug 2026, 09:26
313
-1
15 Aug 2026, 01:56
314
-1
8 Aug 2026, 07:35
315
no change
7 Aug 2026, 15:12
315
first reading
Engagement
18 posts held, back to 1 October 2024 — 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 18 posts for this entry, the most recent from 6 March 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
138 reactions across 18 posts, in 9 distinct kinds. The most used accounts for 70.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
97
70.3%
👍
29
21.0%
⚡
3
2.17%
❤🔥
2
1.45%
🎉
2
1.45%
👎
2
1.45%
💯
1
0.725%
🤩
1
0.725%
🥰
1
0.725%
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 18 of the 18 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 138 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 1 October 2024 to 6 March 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.
Земельные трюки или как продать земельный участок в феврале:
У меня ученик поделился новостью, что продал уступку аренды с рентабельностью 1100% (дороже в 11 раз) и поделился своим секретными приемами⤵️
1. Экспериментировать с ценой, если не продается по идеальной для вас цене, не стесняйтесь снижать 😉
2. Платно поднимать объявление в ТОП перед выходными, чтобы люди сразу могли съездить на осмотр. В общем вовремя …
🔥Вы просили, я сделала!
Недавно вы проголосовали за приглашение на интервью моей ученицы, Елизаветы https://t.me/zemlyabg
И уже 11 февраля вы сможете задать ей свои вопросы:
✅Как ей удалось получить 12 предварительных согласований?
✅Сколько было отказов?
✅Какие особенности оформления земли в Новгородской и Калужской областях
✅Как набрать подписчиков в соц сетях
И многое другое!
Прямой эфир тут https://rutube.…
Showing the 12 most recent of 18 posts we hold for @zemlya_prosto_yest. 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
Republishes
Channels on the register whose posts this channel has forwarded.
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 27 August 2026 — this
entry's latest reading, not the date you are reading this.
“Результаты учеников” (@zemlya_prosto_yest), 313 subscribers as measured 27 August 2026. Telegram Register, tgregister.com/channel/zemlya_prosto_yest.
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.
