Sticker, posted without a caption

Channel
ESN Odesa
@esnodesa
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
233subscribers
+12 since we began measuring on 22 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1003319308666 |
|---|---|
| Type | Channel |
| Username | @esnodesa |
| Created | Between 1 November 2025 and 31 March 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 22 August 2026 |
| Last confirmed live | 9 September 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 9 September 2026 |
| On Telegram | t.me/esnodesa |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 9 Sept 2026, 02:57 | 233 | +2 |
| 30 Aug 2026, 09:12 | 231 | +10 |
| 23 Aug 2026, 16:14 | 221 | no change |
| 22 Aug 2026, 17:01 | 221 | first reading |
Engagement
15 posts held, back to 20 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 1 page of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 92.3%
- avg views ÷ 233 subscribers
- Avg views / post
- 215
- 5 posts measured
- Reaction rate
- 2.83%
- reactions ÷ views · ER floor
- Posts in window
- 5
- of 15 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. It is computed over the 4 of 5 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 22 August 2026 |
|---|---|
| Posts held | 15 (20 July 2026 – 22 August 2026) |
| Views total | 1,075 |
| Reactions total | 28 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 22 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
- 12s
- Average length
- 12s
Measured directly from 1 video 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
75 reactions across 14 posts, in 10 distinct kinds. The most used accounts for 62.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 47 | 62.7% | |
| ❤🔥 | 6 | 8.00% | |
| 💘 | 5 | 6.67% | |
| 🙏 | 5 | 6.67% | |
| 🔥 | 4 | 5.33% | |
| 💅 | 3 | 4.00% | |
| 👍 | 2 | 2.67% | |
| 🎄 | 1 | 1.33% | |
| 💔 | 1 | 1.33% | |
| 😍 | 1 | 1.33% |
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 14 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 75 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 20 July 2026 to 22 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.
Recent posts
💅🌊 HOT ESNers STRETCH BY THE SEA! You know what to do. 👀 Grab your mat, put on your cutest fit and stretch it out by the sea! 🧘♀️☀️ Запрошуємо вас на Stretching by the Sea: ранкову розтяжку, море, сонце і головний main character energy на весь день. 💋 А ще — справжні hotties завжди підтримують своїх! 🇺🇦✨ Під час івенту збираємо донати на ЗСУ: розтягуємо м’язи, дихаємо морським повітрям і робимо добру справу водночас…
❤8🎄1
Sticker, posted without a caption
❤2
🇺🇦🏃♀️ Boba Running Club (Independence Day edition) 24 серпня святкуємо незалежність по-своєму — виходимо на пробіжку разом! Просто рух, свіже повітря, хороша компанія та відчуття свободи, яким хочеться поділитись 💫 📅 24 серпня 📍 Парк Перемоги (біля площі 10 квітня) 🕢 07:30 ❤️🩹 Участь - донат від 135 грн на нашу банку, гроші з якої ми перекажемо на ЗСУ 🔗 Реєстрація - за посиланням Our Independence. Our Pace. До …
❤10❤🔥2
Голос української молоді має прозвучати на рівні ООН! 🇺🇳 Молодіжні делегатки України до ООН Тетяна Кучер та Дарина Вареник проведуть регіональні консультації у 6 містах України, щоб почути думки молоді та представити їх на міжнародній арені. Обговоримо: • головні виклики для молоді; • які зміни потрібні Україні та світу; • ідеї та рішення, які варто представити на міжнародних майданчиках. 📍 Чернігів — 25 серпня, 1…
❤5
Вже за 10 хвилин ви матимете змогу опинитись в атмосфері Весняної Національної Асамблеї, яка пройшла в травні, за посиланням 🩵
💘5❤1👍1😍1
За півтори години ми чекаємо вас на заключній зустрічі в рамках Faculty Insights: Beyond the Syplabus, де ви матимете нагоду познайомитись з Фаховим коледжем ОНУ ім. Мечникова, реєстрація за посиланням 🙂↕️
❤2
За 15 хвилин зустрічаємось, аби дізнатись все про факультет психології та соціальної роботи та факультет математики, фізики та інформаційних технологій за посиланням 👀
❤4💔1
Заповнюй опитувальник та вигравай персональний розбір резюме! Компанія SKELAR активно готується до проведення нових ініціатив для студентів. І нам дуже важливо зробити їх якомога кращими та кориснішими. Як? Завдяки тобі 🙌 💻 Заповнюй опитування про студентські ініціативи за цим посиланням. Твої відповіді допоможуть нам краще зрозуміти потреби студентів та спробувати максимально їх охопити. 🎁 Ну і звісно — не прост…
❤2👍1
Менше ніж за годину ви дізнаєтесь все і більше про факультет романо-германської філології, факультет гідрометеорології та екології, та геолого-географічний факультет, реєстрація за посиланням 🤩
💅3
Вже за 3 години ви матимете змогу дізнатись все про такі факультети, як економіко-правовий, біологічний та хімії та фармації - реєстрація за посиланням ⚡️ Також було оновлено посилання на зустрічі, яке буде використовуватись на всі наступні зустрічі: https://meet.google.com/rdt-qmon-vcn
🙏2
Вибачте за технічні помилки, за декілька хвилини розпочнемо наново конференцію за цим посиланням 🙏🏼
🙏3❤1
Showing the 12 most recent of 15 posts we hold for @esnodesa. 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.
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.
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 9 September 2026 — this entry's latest reading, not the date you are reading this.
“ESN Odesa” (@esnodesa), 233 subscribers as measured 9 September 2026. Telegram Register, tgregister.com/channel/esnodesa.
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.