Это «Пора» by @usachevruslan: интересные места и приключения в России и мире. Афиша, бренды, покупки, локации.
Пора путешествовать!
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Created
Between 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
10 measurements spanning 8 days, net -1,704. 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 83,960–86,879 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 11:35
84,838
+351
12 Aug 2026, 10:58
84,487
+190
11 Aug 2026, 14:03
84,297
-40
10 Aug 2026, 16:31
84,337
-421
9 Aug 2026, 14:15
84,758
-586
8 Aug 2026, 13:42
85,344
-312
7 Aug 2026, 14:27
85,656
-827
6 Aug 2026, 13:02
86,483
-59
6 Aug 2026, 01:34
86,542
no change
5 Aug 2026, 22:00
86,542
first reading
Engagement
16 posts held, back to 31 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 19 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
12.6%
avg views ÷ 84,838 subscribers
Avg views / post
10,700
16 posts measured
Reaction rate
1.05%
reactions ÷ views · ER floor
Posts in window
16
of 16 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
What these figures were computed from
Window
Rolling 30 days · latest post in window 13 August 2026
Posts held
16 (31 July 2026 – 13 August 2026)
Views total
170,740
Reactions total
1,793
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
13 Aug 2026, 20:27 UTC
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
Photos
≈2,060
Videos
≈76
Links
≈158
Lifetime counters from Telegram’s own channel header, read 13 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
1m 37s
Average length
49s
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
1,793 reactions across 16 posts, in 20 distinct kinds. The most used accounts for 36.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
653
36.4%
🔥
531
29.6%
🤡
138
7.70%
❤🔥
123
6.86%
🙈
114
6.36%
🗿
54
3.01%
👏
45
2.51%
💔
41
2.29%
🌚
28
1.56%
🦄
15
0.837%
💘
14
0.781%
💩
11
0.613%
🙏
8
0.446%
👀
5
0.279%
👌
4
0.223%
🐳
3
0.167%
🍾
2
0.112%
🤝
2
0.112%
🌭
1
0.056%
😈
1
0.056%
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 16 of the 16 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 1,793reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 31 July 2026 to 13 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.
Фанаты «Гарри Поттера» отстояли могилу Добби 🧦
Прокладка подводного кабеля между Британией и Ирландией едва не привела к уничтожению «могилы» эльфа Добби с пляжа в Пемброкшире. Фанаты «Гарри Поттера» завалили энергокомпанию звонками с возмущением, когда узнали, что маршрут линии пройдёт через памятное место.
Чтобы не тревожить курган из гальки с эпитафией «Здесь покоится Добби», компания перенаправила кабель стоимо…
Памятник в виде девушки-поезда установили в Красноярском крае 🚂
В посёлке Нижняя Пойма у станции Решоты-Северный установили монументально-декоративную композицию «Тайга». Автор — скульптор Максим Старовойтов. Работа представляет собой голову девушки, переходящую в вагон; волосы с домами и людьми образуют железнодорожную платформу. Сейчас бетонная фигура покрыта чёрно-фиолетовой краской, в ближайшие дни её дополнят ц…
Фестиваль поросячьего визга 🐽
Во французской деревне Три-сюр-Без уже 43 года подряд проходит культовый фестиваль «Pourcailhade», главная изюминка которого — чемпионат по имитации поросячьего визга.
9 августа местные жители и туристы (а их на праздник съехалось около 4 тысяч — в 4 раза больше населения самой деревни) собрались, чтобы выяснить, кто же лучше всех хрюкает. Жюри оценивало артистизм, технику, реалистично…
Витраж «Окно Розы» требует реставрации. К сожалению, снова 😢
Установленный более 5 веков назад в знак союза Алой и Белой роз, витраж стал визитной карточкой Йоркского собора. Тем не менее, в 1984 году он, вследствие удара молнии в здание, сильно пострадал — покрылся трещинами, число которых оценивается в 40 000. Тогда витраж удалось спасти.
Однако, в прошлом году исследователи выявили новую угрозу «Окну». Из-за выс…
Отличная новость для людей, любящих сложные ачивки в реальной жизни — попробуйте собрать все печати в Паспорт путешественника
Авиасейлс представили Паспорт путешественника 2.0. В обновленной версии 44 страницы, куда можно проставить штампы о посещении 34 городов (количество городов в проекте продолжает расти). Также добавились чек-лист с природными достопримечательностями и специальные задания.
Новый материал облож…
Минстрой рассмотрел возможность полного переноса России в Minecraft 🌎
Представители Молодёжного совета ведомства совместно с инженером Глебом Тихоновым провели инспекцию виртуальных объектов — городов, зданий и общественных пространств, воссозданных командой TeamCIS по реальным прототипам.
По итогам стрима было отмечено, что строительная карьера вполне может стартовать с возведения первого блока в игровом пространс…
Плати как дома
Теперь за границей можно обойтись без иностранной карты и наличных. Плати как дома — по QR-коду в приложении Т-Банка.
Услуга уже доступна в четырех странах:
• Вьетнаме.
• Армении.
• Кыргызстане.
• Таджикистане.
Список будет пополняться, чтобы сделать поездки еще удобнее.
За операцию не берут комиссию — спишут только сумму покупки по внутреннему курсу Т-Банка.
Узнай больше
Приложение, которое позволит вам гулять по Корее, не вспотев 📱
Студент из Южной Кореи придумал приложение Geuneullo (кор. 그늘로), которое прокладывает маршруты по тени.
Приложение учитывает положение Солнца, определяет куда падает тень от зданий и подсказывает, где лучше сесть в метро или автобус.
Мемориальный музей заповедник Д.И. Менделеева и А.А. Блока
Музей-заповедник в Подмосковье представляет собой уникальное пространство, где переплелись судьбы двух выдающихся семей — Менделеевых и Бекетовых-Блоков. В этих местах проходила не только светская жизнь, но также творческая и научная работа, создававшая культурный ландшафт эпохи.
В состав комплекса входят три основных места: усадьба Боблово, приобретённое Д…
🇨🇳 В Китае построили волшебную библиотеку в карстовом провале 📖
В уезде Уюань (провинция Цзянси) построили библиотеку внутри природного карстового провала. Необычный интерьер — винтовая лестница, тёплая подсветка и парящие световые «пузыри» — создаёт атмосферу, которую пользователи соцсетей сравнили с Хогвартсом из «Гарри Поттера».
Библиотека — одна из частей проекта реставрации квартала Сяньгаочэн в Уюане. Работы …
❤42💔38🔥19
Showing the 12 most recent of 16 posts we hold for @tochnopora. 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.
Citation-graph rank
Citation-graph rank — 375,277 of 1,183,361entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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 4 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.
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.
UsachevRuslan @usachevruslan · 201,195 Telegram ranks this channel #4 of 86 here — alongside 85 others — read 11 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 13 August 2026 — this
entry's latest reading, not the date you are reading this.
“ПОРА” (@tochnopora), 84,838 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/tochnopora.
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.
