Channel
@like_wine
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
77subscribers
+5 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001876941693 |
|---|---|
| Type | Channel |
| Username | @like_wine |
| Created | Between 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 13 October 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 13 October 2026 |
| On Telegram | t.me/like_wine |
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 28 September 2026 and assigned it the closest of 31 fixed categories, at 50% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Oct 2026, 09:50 | 77 | -1 |
| 2 Oct 2026, 21:21 | 78 | -1 |
| 18 Sept 2026, 12:59 | 79 | +2 |
| 10 Sept 2026, 02:58 | 77 | +1 |
| 30 Aug 2026, 20:07 | 76 | +2 |
| 15 Aug 2026, 16:58 | 74 | +2 |
| 9 Aug 2026, 23:01 | 72 | no change |
| 7 Aug 2026, 19:25 | 72 | first reading |
15 posts held, back to 13 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 15 posts for this entry, the most recent from 9 August 2026. An engagement rate over an empty window would be a number about nothing.
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.
47 reactions across 14 posts, in 5 distinct kinds. The most used accounts for 48.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 23 | 48.9% | |
| 🔥 | 13 | 27.7% | |
| 👍 | 7 | 14.9% | |
| 🤩 | 3 | 6.38% | |
| ❤🔥 | 1 | 2.13% |
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 15 of the 15 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 47 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 13 June 2026 to 9 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.
Друзья! На прошлой дегустации мы с вами познакомились с историей создания необычного вина Морской от Шато Пино, когда сильнейший морской ветер буквально уничтожил весь урожай, оставив на винограде частицы морской соли и узнали как такую безвыходную ситуацию использовать для создания эксклюзивного вина, за которым гоняются коллекционеры. Поэтому мы придумали такой вечер, где море вновь встретится с виноградником, но…
❤1👍1
Загадочная Ратафия от Сергея Кислова (винодельня в г.о Раменское) Кто не попробовал - потеряли очень много! Подкопченая вишня 35 * - 🔝
🔥2👍1
Второе место. 😉 Купили бы такое в магазине?
Заслуженная победа с большим отрывом
❤1
Сет вин
🔥1
Наш победитель! Лекиф от Фанагории! 👏👏👏
❤2
Video, posted without a caption
❤1
Неожиданные итоги прошедшей 5 августа дегустации Мы узнали как же связан немецкий рислинг зект с российской императорской семьей, попробовали провокационные вина - Тройничок от Шато Пино из линейки Шары Колдуна и австралийский каберне совиньон 19 Crimes, а также нашли русский след, определивший развитие виноделия Америки! Формат историй очень восторженно был принят нашими гостями, поэтому будем развивать его и дал…
❤2🔥2🤩2❤🔥1
Друзья! Мы снова ждём вас на новую дегустацию в любимом «Вино и хлеб» на Тверской. Тема образовалась случайно - по итогам прошлой встречи и в этот раз мы побудем этакими стендаперами и расскажем забавные, курьезные и интересные случаи из винного мира под соответствующее сопровождение 🍷🥗 Встречаемся 5 августа в 19:00. Вино, закуски, вода, хорошее настроение и приятная компания гарантированы. Стоимость 5 000 руб…
❤4👍3🔥1
🍷 8 июля совместно с моей прекрасной Анной мы продолжили знакомить вас с экстремальным виноделием северных регионов России. 💥 Встреча получилась очень трогательная и познавательная - при дегустировании Алиготе от Саратовской винодельни Расково мы затронули исторические факты летного батальона «Ночных ведьм» в период ВОВ и любимой летчицы Сталина Марины Расковой, а при знакомстве с Ассамбляжем от самарской Denisov wi…
❤4🔥2
Video, posted without a caption
🔥3
Друзья! Мы продолжаем исследовать северные регионы России и пробовать прекрасные вина, которые несмотря ни на что создали виноделы Самары, Воронежа, Волгоградской области, Саратова и даже подмосковного Ступино. Познакомимся с такой технологией как петнат и завершим всё десертным оранжем. Ждём вас в среду, 8 июля в 19:00 в любимом ресторане Хлеб и вино. Запись в личные сообщения по 100% предоплате 5000 руб. В цену…
❤3
Showing the 12 most recent of 15 posts we hold for @like_wine. 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.
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.
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 October 2026 — this entry's latest reading, not the date you are reading this.
“Любителям вина 🍷” (@like_wine), 77 subscribers as measured 13 October 2026. Telegram Register, tgregister.com/channel/like_wine.
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.