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 88% 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
14 measurements spanning 38 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 1,304–1,312 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Sept 2026, 20:20
1,305
-3
11 Sept 2026, 07:38
1,308
-3
6 Sept 2026, 04:39
1,311
+2
1 Sept 2026, 12:44
1,309
+1
29 Aug 2026, 10:15
1,308
+2
26 Aug 2026, 14:04
1,306
-1
23 Aug 2026, 06:24
1,307
+2
19 Aug 2026, 22:27
1,305
-5
16 Aug 2026, 17:34
1,310
+1
13 Aug 2026, 12:35
1,309
+3
10 Aug 2026, 23:13
1,306
-2
8 Aug 2026, 07:54
1,308
-1
7 Aug 2026, 22:32
1,309
no change
7 Aug 2026, 13:12
1,309
first reading
Engagement
5 posts held, back to 1 August 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 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.
What this channel posts
Video runtime
1m 36s
Average length
32s
Measured directly from 3 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
64 reactions across 5 posts, in 8 distinct kinds. The most used accounts for 31.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤🔥
20
31.3%
🔥
17
26.6%
❤
13
20.3%
👍
10
15.6%
😁
1
1.56%
😍
1
1.56%
🙏
1
1.56%
🤔
1
1.56%
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 64 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 1 August 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.
СШАшинг 2026. Наша семейная одиссея.
Мы повторяем СШАшинг.
Но в этот раз он будет намного шире.
📍10 сентября
Бали ✈️ Тайбэй ✈️ Сан-Франциско
Почти 18 часов дороги.
Так начинается наше путешествие.
⸻
📍11–14 сентября
Santa Cruz
🏊♂️ Ironman California
Да, снова Ironman.
Почему?
За двадцать лет спорта я понял несколько вещей.
Первое. Используй — или потеряешь.
Я не хочу потерять навык триатлона только пот…
СШАшинг. Сентябрь 2026.
Хочу немного приоткрыть наше семейное путешествие, которое мы планируем на сентябрь.
Когда смотришь на маршрут, иногда становится немного страшно.
📅 10-28 сентября
Бали ✈️ Тайвань ✈️ Сан-Франциско 🚗 Санта-Круз 🚗 Сан-Франциско ✈️ Вашингтон 🚗 Вирджиния 🚗 Вашингтон ✈️ Орландо ✈️ Сан-Франциско ✈️ Тайвань ✈️ Бали
🗝️Ключевые события:
🏊 🚴👟Ironman California Санта-Круз (11–14 сентября). Самый кр…
Знаете, что я понял за 25 лет в спорте?
Большинство людей вообще не знакомы со своим телом.
Мы знаем, как устроена машина, телефон или компьютер. Быстро замечаем, если что-то работает не так.
А своё тело начинаем изучать только тогда, когда оно заболит.
Для меня всё изменилось год назад.
Через боль в спине я понял, что никогда по-настоящему не изучал своё тело. Я просто пользовался им.
И тогда решил начать снач…
ПУТЬ 150. Итоги недели №5
Август начался именно так, как я хотел — без рывков, но с движением вперед.
За неделю не произошло ничего героического. Зато произошло то, что действительно важно: организм ответил на нагрузку восстановлением, а не новым срывом.
📊 Цифры недели
🏃♂️ 59 км бега (58,7 → 61 → 59 км)
😴 Сон — 7:01 (7:14 → 7:34 → 7:01)
❤️ Пульс покоя — 49 (49 → 50 → 49)
💚 HRV — 53 (47 → 51 → 53)
⸻
🏔 Главна…
Становлюсь ли я ближе к успешному финишу 100 км?
⸻
🏃 БЕГОВОЙ ОТЧЕТ
Июль 2026
🎯 Главная цель сезона
BTS100 — 100 км
7 ноября
100 км • +4187 м набора • лимит 32 часа
До старта осталось около 100 дней.
⸻
📈 Что изменилось за месяц
За июль я сделал большой шаг вперед.
🏃 28 беговых тренировок (25 → 28)
📏 304,5 км (222,9 → 304,5 км | +37%)
⛰ 2474 м набора (1020 → 2474 м | +142%)
🏋️ 26 силовых и кросс-тренирово…
❤5👍3🤔1
Showing the 5 most recent of 5 posts we hold for @road150. 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.
Канал doTERRA Наука @doterrascience · 25,901 Telegram ranks this channel #52 of 70 here — alongside 69 others — read 13 September 2026
ОГУЛОВ ЦЕНТР @ogulov_com · 23,617 Telegram ranks this channel #59 of 81 here — alongside 80 others — read 18 September 2026
Ароматерапия #поШульге @shulgarussiaTelegram · 25,885 Telegram ranks this channel #61 of 71 here — alongside 70 others — read 13 September 2026
ТЕЙПОЛОГИЯ | Елена Калино @vip_tape · 30,360 Telegram ranks this channel #81 of 88 here — alongside 87 others — read 7 September 2026
This channel appears in 4 seed channels' Telegram-generated recommendation lists 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 14 September 2026 — this
entry's latest reading, not the date you are reading this.
“Путь 150 | жизнь в теле во времени” (@road150), 1,305 subscribers as measured 14 September 2026. Telegram Register, tgregister.com/channel/road150.
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.