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Channel

Мысли на салфетке

@na_salphetke

On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry

1,233subscribers

+486 since we began measuring on 8 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1002278902252
TypeChannel
Username@na_salphetke
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live16 September 2026
Measurements held7
Confirmed unchanged1 time, most recently 16 September 2026
On Telegramt.me/na_salphetke

Topic

Travel — 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 69% 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

7471,2339908 August 2026 — 747 subscribers9 August 2026 — 751 subscribers16 August 2026 — 881 subscribers23 August 2026 — 892 subscribers30 August 2026 — 969 subscribers9 September 2026 — 949 subscribers16 September 2026 — 1,233 subscribers8 August 202616 September 2026
7 measurements spanning 38 days, net +486. 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 674–1,306 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Sept 2026, 03:001,233+284
9 Sept 2026, 02:40949-20
30 Aug 2026, 03:26969+77
23 Aug 2026, 08:57892+11
16 Aug 2026, 18:37881+130
9 Aug 2026, 10:07751+4
8 Aug 2026, 16:16747first reading

Engagement

5 posts held, back to 31 July 2026the 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 7 August 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

564 reactions across 5 posts, in 3 distinct kinds. The most used accounts for 36.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 522456320572814525920336.0%
custom 535977349208031850718633.0%
custom 522473341528208641317531.0%

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 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 564 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 31 July 2026 to 7 August 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.

Recent posts

7 Aug 2026, 15:28 UTC81 views98 reactionsread 8 August 2026
Photo

🥐🥐 🥐🥐 Музей Жакмар-Андре В Париже сходила в музей Жакмар-Андре — осталась под впечатлением не только от экспозиции, но и от самого пространства. Внутренний двор, невероятные интерьеры, лестницы и мебель — всё хочется рассматривать без остановки. Особенно понравился зимний сад в античном стиле. 🪭🪭Помимо постоянной коллекции, попала и на временную выставку, посвящённую Веласкесу. Было особенно интересно увидеть его

custom 535977349208031850739custom 522473341528208641330custom 522456320572814525929

5 Aug 2026, 10:35 UTC120 views116 reactionsread 8 August 2026
Photo

🌺🌺 Как французская армия 🌺🌺 привезла в Европу новую моду Военные походы не впервые влияют на моду — именно так, например, появился тренч. Но иногда главным наследием похода становится эстетика страны, в которой побывала армия. Так произошло с походом Наполеона в Египет. 🥐🥐В 1798 году вместе с 🥐🥐французской армией туда отправились не только солдаты, но и ученые, художники, архитекторы и инженеры. Они изучали древн

custom 522456320572814525943custom 535977349208031850737custom 522473341528208641336

4 Aug 2026, 11:36 UTC154 views132 reactionsread 8 August 2026

📝📝 Кстати, перед «Тремя 📝📝 мушкетерами» в книге было много прелюбопытных историй из биографии Дюма. Не знаю, сколько из них абсолютно достоверны, но каждая меня позабавила. 📝📝📝Первая история: Во время репетиций одной из своих пьес Дюма заметил, что театральный пожарный каждый раз уходил во время третьего акта. На вопрос Дума, молодой человек смущенно ответил: «Потому что он нудный. Я начинаю засыпать». Дюма не ста

custom 522456320572814525951custom 522473341528208641341custom 535977349208031850740

3 Aug 2026, 15:49 UTC149 views112 reactionsread 8 August 2026
Photo

📚📚 Три мушкетера 📚📚 Александр Дюма Книжный отчет Чистосердечное признание: я невероятно долго откладывала свое знакомство с Александром Дюма. 📝 Сначала меня интересовали другие книги, затем, когда уже захотелось что-то прочесть, я часто слышала мнение, что «Дюма читают в 12 лет». И, думая, что уже опоздала и не смогу проникнуться духом авантюризма, вновь убирала книгу в долгий ящик. 🥐🥐Но этим летом чудо 🥐🥐сверш

custom 522456320572814525941custom 522473341528208641336custom 535977349208031850735

31 Jul 2026, 10:19 UTC188 views106 reactionsread 8 August 2026
Photo

🥐🥐 🥐🥐 Chère Maman Этот ресторан — еще один небольшой оазис Франции в центре Москвы. Внутри очень камерная и уютная атмосфера: приглушенный свет, французские постеры и картины на стенах. В ресторане два зала. Мы сидели в первом, но второй понравился даже больше — он показался более уютным. Меню здесь тоже максимально французское. Мы взяли бёф бургиньон — блюдо, которое понравилось Катерине во Франции больше всего

custom 522456320572814525939custom 535977349208031850735custom 522473341528208641332

Showing the 5 most recent of 5 posts we hold for @na_salphetke. 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

Named by 1 registered channel — 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 16 September 2026 — this entry's latest reading, not the date you are reading this.

“Мысли на салфетке” (@na_salphetke), 1,233 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/na_salphetke.

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.