Channel
@istoriavvine
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
105subscribers
+52 since we began measuring on 1 September 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003844053430 |
|---|---|
| Type | Channel |
| Username | @istoriavvine |
| Created | Between 1 February 2026 and 31 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 1 September 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/istoriavvine |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 19:59 | 105 | +40 |
| 10 Sept 2026, 09:56 | 65 | +5 |
| 1 Sept 2026, 21:26 | 60 | +7 |
| 1 Sept 2026, 10:00 | 53 | no change |
| 1 Sept 2026, 09:45 | 53 | first reading |
7 posts held, back to 22 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.
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.
| Window | Rolling 30 days · latest post in window 31 August 2026 |
|---|---|
| Posts held | 7 (22 August 2026 – 31 August 2026) |
| Views total | 838 |
| Reactions total | 46 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 1 Sept 2026, 10:00 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.
84 reactions across 7 posts, in 7 distinct kinds. The most used accounts for 31.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 26 | 31.0% | |
| 👍 | 19 | 22.6% | |
| 🔥 | 15 | 17.9% | |
| 🍾 | 9 | 10.7% | |
| 👏 | 8 | 9.52% | |
| 🤯 | 4 | 4.76% | |
| 🆒 | 3 | 3.57% |
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 7 of the 7 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 84 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 7 most recent posts we hold, published 22 August 2026 to 31 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.
Рекламные материалы тех времён – афиши, буклеты, рекламные плакаты – представляют собой уникальные произведения искусства и одновременно документируют общественные настроения и вкусы того времени. Они ярко иллюстрируют, как производители и поставщики стремились подчеркнуть высочайшее качество своей продукции и привлекали внимание потенциальных покупателей с помощью оригинальных и креативных решений.
❤3👏3🆒2🍾1🤯1
🍻 В пивной Я не фанат пива, но само название «портерная лавка» мне по душе. Именно так наравне с пивной, называлось место, где до революции продавали отечественные слабоалкогольные напитки вроде пива и меда. Как мы помним, в Империи было четкое разделение на типы питейных мест в зависимости от того, что и как там продавали (вспомним ренсковые погреба, казенные винные лавки и пр.). Вот для пива были портерные лавки. …
👏5❤3🍾3
Лето заканчивается, но повод для окрошки есть. По старой ялтинской легенде, рецепт фруктовой "хмельной окрошки" связывали с Екатериной Долгоруковой - будущей княгиней, супругой императора Александра II. В ресторанных меню того времени рядом встречались фруктовые моседуаны, крюшоны, холодные десерты, шампанское и свежие южные плоды. В жарком курортном городе идея нарезать фрукты, положить их на лед и залить холодным …
❤5🍾5🤯3🆒1
В 1893 году министр финансов С. Ю. Витте, поддерживаемый Александром III, сумел на государственном уровне провести решение о введении винной монополии (на водку; остальное облагалось акцизом), которая начала постепенно вводиться с 1894 года. В результате так называемый питейный доход стал одним из важнейших источников для российского бюджета и в 1913 году составил 26% обыкновенного бюджета России. Показываем как выг…
👍4🔥4❤3
В наших выпусках мы часто приводим статистику и называем различные меры. Для наглядности сделали удобную картинку
👍6🔥5❤4
В свежем выпуске подкаста про сухой закон 1914 года мы приводили статистику потребления алкоголя населением до революции. По данным Министерства финансов, с 1863 по 1910 год общее потребление алкогольной продукции составило 90 миллионов ведер водки крепостью в 40° (более миллиарда литров), в то время как душевое потребление вина сократилось с 1,23 до 0,5 ведра — это 6 литров. Высокому показателю потребления водки е…
❤5👍3🔥3
Винную карту в XIX веке отдельно могли предложить в дорогих ресторанах. В нее входили в основном европейские вина, однако были и российские позиции: крымские и кубанские. Помимо вин, гостям предлагали настойки, медовуху и безалкогольные напитки. В том случае, если это было меню званого обеда или ужина, подача вин и других напитков могла быть вписана в него сразу. Нынешнее правило «не смешивать напитки» было бы попро…
👍6❤3🔥3
Showing the 7 most recent of 7 posts we hold for @istoriavvine. 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.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
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.
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“История в вине” (@istoriavvine), 105 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/istoriavvine.
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.