Other / unclassifiable — 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 21 September 2026 and assigned it the closest of 31 fixed categories, at 72% 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
6 measurements spanning 54 days, net +4. 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 544–551 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
2 Oct 2026, 11:00
550
+1
17 Sept 2026, 16:21
549
+4
9 Sept 2026, 07:36
545
-2
16 Aug 2026, 18:05
547
+1
9 Aug 2026, 11:00
546
no change
9 Aug 2026, 10:49
546
first reading
Engagement
6 posts held, back to 5 June 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 6 posts for this entry, the most recent from 21 July 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
33s
Average length
33s
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
287 reactions across 6 posts, in 6 distinct kinds. The most used accounts for 31.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
custom 5253604812511006955
90
31.4%
custom 5449850741667668411
75
26.1%
custom 5458585073060160944
57
19.9%
custom 5368715382062334049
42
14.6%
custom 5435928845695855054
19
6.62%
custom 5379858515798015725
4
1.39%
Custom emoji. Every 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 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 6 of the 6 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 287 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 6 most recent posts we hold, published 5 June 2026 to 21 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.
Telegram Stars
Stars received
1
across the posts below
Posts paid on
1
of 6 we hold a reading for · 17%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @quietleavescom. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 6 most recent posts we hold for this entry, published 5 June 2026 to 21 July 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Зелёная кваква (Butorides striata), которую в Уругвае называют голубоватой цапелькой (garcita azulada), молниеносно пролетела по кромке лагуны и взмыла ввысь. По счастливой случайности в этот момент я перевела своё внимание с улиток прямо на неё и успела сделать пару кадров. Что же об этой квакве известно?
Во-первых, это одна из самых маленьких представителей семейства цаплевых в Уругвае. Во-вторых, зелёного в ней п…
Флора и фауна не существуют в вакууме. У каждого растения, птицы, зверя или насекомого есть своя среда обитания — водные заросли, пастбище, лесная кромка, каменистый холм или бескрайние травы. За этим я тоже наблюдаю.
Полюбуйтесь и вы.
🌿
Тихие листья. Полевые заметки о живом.
В одной из своих полевых вылазок я повстречала норного грызуна! Предположительно это туко-туко Пирсона (Ctenomys pearsoni), эндемик Уругвая.
Об уругвайских туко-туко писал ещё Чарльз Дарвин почти два века назад в своих полевых заметках, ныне известных как "Путешествие вокруг света на корабле Бигль":
…любопытное маленькое животное, которое можно кратко охарактеризовать как грызуна с повадками крота. В некоторых мест…
Рыжий печник (Furnarius rufus) — один из самых трудолюбивых охотников среди низкой травы Уругвая, Аргентины и соседних стран.
Он методично осматривает каждый сантиметр микроландшафта, заглядывает в просветы между травинками, прощупывает клювом почву, ворошит сухие листья. Для нас это просто равнина или газон на обочине, а для печника это богатые белком охотничьи угодья.
У червячков, различных насекомых и пауков, чт…
Процесс старения листьев зовётся красиво — сенесценция. Мне очень нравится, как это фонетически звучит и как ассоциативно складывается с осенью. Словно какое-то хрупкое, мерцающее сияние, которое нужно успеть уловить.
Деревья вбирают из листьев обратно часть питательных веществ, распадается хлорофилл, на первый план выходят каротиноиды, танины, антоцианы. Так проявляются различные оттенки — жёлто-оранжевые, коричнев…
Showing the 6 most recent of 6 posts we hold for @quietleavescom. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Mentions
Named by 2 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
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 2 October 2026 — this
entry's latest reading, not the date you are reading this.
“🍁 Тихие листья 🌿” (@quietleavescom), 550 subscribers as measured 2 October 2026. Telegram Register, tgregister.com/channel/quietleavescom.
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.
