Telegram RegisterThe public register of Telegram

Channel

Train Eng Nights

@Train_eng_nights

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

165subscribers

+4 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002946540801
TypeChannel
Username@Train_eng_nights
CreatedBetween 1 August 2025 and 31 October 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live15 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/Train_eng_nights

Growth

1611651637 August 2026 — 161 subscribers8 August 2026 — 161 subscribers15 August 2026 — 165 subscribers7 August 202615 August 2026
3 measurements spanning 7 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 160–166 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 00:22165+4
8 Aug 2026, 17:01161no change
7 Aug 2026, 21:03161first reading

Engagement

19 posts held, back to 15 February 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 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
63.6%
avg views ÷ 165 subscribers
Avg views / post
105
2 posts measured
Reaction rate
6.67%
reactions ÷ views · ER floor
Posts in window
2
of 19 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
WindowRolling 30 days · latest post in window 29 July 2026
Posts held19 (15 February 202629 July 2026)
Views total210
Reactions total14
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 17:01 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

Video runtime
4m 54s
Average length
27s

Measured directly from 11 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

157 reactions across 18 posts, in 8 distinct kinds. The most used accounts for 46.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
7346.5%
🔥5434.4%
😍1811.5%
👍63.82%
🍾21.27%
🎉21.27%
❤‍🔥10.637%
💯10.637%

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 18 of the 19 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 157reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 15 February 2026 to 29 July 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

29 Jul 2026, 14:51 UTC100 views8 reactionsread 8 August 2026
Photo

16.08 Вс 13:00 🏛 Guided tour - Kamenny Island Walk (на русском языке) 📍 Каменный остров Авторская экскурсия от Максима (https://t.me/turburo812) — экскурсовода по нестандартным маршрутам Петербурга. 💭 Каменный остров — одно из самых загадочных и атмосферных мест Петербурга. За красивыми фасадами здесь скрываются истории аристократических дач, старинных особняков и людей, которые формировали облик города. Мы прогул

6😍2

29 Jul 2026, 14:30 UTC110 views6 reactionsread 8 August 2026
Photo

Пт 31.07 🇬🇧 19:30 ⚓️ Sevkabel Speaking Club + Afterparty This Friday we’re moving our English Speaking Club to the Sevkabel area! Join us for an evening of English practice, new connections, and a relaxed afterparty by the Gulf of Finland 🌅 The exact location will be announced after registration on the day of the event. Come for English, stay for the vibes 🙌 ➡️ Register Train-Eng.ru/form *The first visit is free

🔥51

6 Jul 2026, 18:01 UTC385 views28 reactionsread 8 August 2026
Video

Сб 18.07 🛥🥂🇬🇧 18:00 🛥🛥 Two-Yacht Cruise + Afterparty 📍 Start: Fontanka River 📍 Afterparty: SENO 💭 Ever imagined doing a speaking club… on water? This time we’re taking it to the next level — literally. ➡️ Register contact Denis P First, we meet at 18:00 and board two yachts 🚤🚤. We cruise through the city center, enjoy the views, and of course — the yachts will race each other through the canals 😄 After the ride, w

😍16🔥74❤‍🔥1

22 Jun 2026, 11:56 UTC458 views9 reactionsread 8 August 2026
Video

30.06 вт 19:30 🏛 Guided tour - Secret Petrograd Side Walk (на русском языке) 📍 Петроградская сторона Авторская экскурсия "Секреты Петроградской стороны" от Максима - экскурсовода по нестандартным маршрутам https://t.me/turburo812 💭 Петербург, который обычно скрыт за фасадами, парадными дверями и закрытыми дворами. Мы увидим его с другой стороны — через его изнанку, историю и атмосферу старого города. ➡️ Register

🔥52🎉1💯1

16 Jun 2026, 16:41 UTC381 views12 reactionsread 8 August 2026
Video

26.06 Пт 20:45 🍷 Wine Tasting Night 📡Atc ул. Некрасова, 3-5 (see attached video) Meetings on the roof terrace 💭 Ever wondered how to recognize different aromas in white wine? White wines make it easier to train your nose — and we'll learn how together. 🍷✨ ➡️ Register contact Denis P First, we’ll meet at 📡Atc at 19:30 for our speaking club. Right after that, at 20:45, we’ll head to a 🍷wine tasting nearby. This is

7🔥3🍾2

30 May 2026, 08:31 UTC394 views6 reactionsread 8 August 2026
Photo

01.06 Mon ❗️19:00 🍿 Movie Night 🎬 Yes Marata | Vladimirskaya 💟 We want more ➡️ Register Train-Eng.ru/form 350₽ + any order at the café The movie: Zootopia (2016) For A2–B1 with English subtitles Zootopia is a smart and entertaining animated adventure set in a modern city inhabited entirely by animals. When rookie rabbit police officer Judy Hopps teams up with the clever fox Nick Wilde to solve a mysterious case, t

🔥42

26 Apr 2026, 10:36 UTC412 views8 reactionsread 8 August 2026
Video

01.05 Пт 18:00 Speaking Club & 🎶 DJ 90s-themed Night Afterparty for 🌴BackYARD *First visit is free Then 700₽ (includes the Afterparty), contact Denis P Register ➡️ Train-Eng.ru/form 18:00 — Speaking club 20:00 — 🎶 DJ 90s-themed Night Afterparty 🚨 Breaking news: a time machine has been found… and it takes you straight to the 90s 😏 Get ready 😍 — on May 1st we’re throwing a Speaking Club Afterparty. Choose your era:

🔥71

18 Apr 2026, 09:02 UTC358 views2 reactionsread 8 August 2026
Video

25.04 Sat 19:00 🍿 Movie Night 🎬 Lenfilm | Gorkovskaya Register ➡️ Train-Eng.ru/form 500₽, сontact Denis P The movie: The Prestige (2006) For B1–B2 with English subtitles Vocabulary in the comments The Prestige is a gripping psychological drama about two rival magicians in Victorian London whose obsession with creating the ultimate illusion turns into a dangerous game of secrecy, deception, and sacrifice. What sta

2

17 Apr 2026, 08:57 UTC313 views4 reactionsread 8 August 2026
Video

21.04 Вт 18:00 🏺 General Staff Building, Hermitage Museum | m. Admiralteyskaya Exhibition: 🇫🇷 French Art of the 19th–20th Centuries 💰 1500 Register ➡️ Contact Denis P An English-language guided tour of the permanent exhibition in the 🏛General Staff Building dedicated to the French Impressionists. The collection includes around 850 paintings, featuring masterpieces by renowned artists such as Claude Monet, Edgar D

4

15 Apr 2026, 13:06 UTC281 views8 reactionsread 8 August 2026
Video

22.04 Ср 20:45 🍷 Wine Tasting Night ⚜️ Gallery Mall | Mayakovskaya — 5th floor Register ➡️ Train-Eng.ru/form Right after the speaking club, we’re hosting a wine tasting session — in 1.5 hours we’ll try 5 different wines and learn how to feel the difference between them. This is more than just a tasting:✨a light introduction to the world of wine✨a lively international crowd ✨a fun and relaxed atmosphere 👩‍🍷 The eve

🔥62

6 Apr 2026, 08:34 UTC268 views3 reactionsread 8 August 2026
Photo

11.04 Sat 15:00 🍿 Movie Night 🎬 Lenfilm | Gorkovskaya The movie: The Hangover Part II (2011) For B1–B2 with English subtitles Vocabulary in the comments The Hangover Part II is a wild comedy that takes the chaos of the first film to a whole new level — this time in Thailand. The story follows the same group of friends who wake up after a crazy night with no memory of what happened… and things have gone seriously w

3

Showing the 12 most recent of 19 posts we hold for @Train_eng_nights. 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 — 821,029 of 1,350,102entries 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.

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 15 August 2026 — this entry's latest reading, not the date you are reading this.

“Train Eng Nights” (@Train_eng_nights), 165 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/Train_eng_nights.

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.