Channel
@sayit_loud
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
199subscribers
+1 since we began measuring on 11 September 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002270819179 |
|---|---|
| Type | Channel |
| Username | @sayit_loud |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 11 September 2026 |
| Last confirmed live | 3 November 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 2 times, most recently 3 November 2026 |
| On Telegram | t.me/sayit_loud |
Education — 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 2 October 2026 and assigned it the closest of 31 fixed categories, at 100% 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 the other topics.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 28 Oct 2026, 01:40 | 199 | -1 |
| 20 Oct 2026, 03:36 | 200 | -1 |
| 12 Oct 2026, 08:36 | 201 | +4 |
| 2 Oct 2026, 09:41 | 197 | -1 |
| 11 Sept 2026, 20:22 | 198 | no change |
| 11 Sept 2026, 19:47 | 198 | first reading |
9 posts held, back to 24 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 9 posts for this entry, the most recent from 11 September 2026. An engagement rate over an empty window would be a number about nothing.
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.
58 reactions across 9 posts, in 6 distinct kinds. The most used accounts for 39.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 23 | 39.7% | |
| 🔥 | 16 | 27.6% | |
| 🤩 | 7 | 12.1% | |
| 👍 | 5 | 8.62% | |
| 😍 | 4 | 6.90% | |
| 💘 | 3 | 5.17% |
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 9 of the 9 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 58 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 9 most recent posts we hold, published 24 August 2026 to 11 September 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.
💼 Що сказати англійською, якщо ви не погоджуєтесь із колегою на мітингу? Ось 3 фрази з мого курсу English for Meetings, які допоможуть висловити свою думку дипломатично👇 1. I see your point, however… → Я розумію вашу думку, однак… М’який спосіб перейти до власної позиції, якщо ви не зовсім погоджуєтесь. 2. We might want to consider… → Можливо, варто розглянути… Коли хочете запропонувати альтернативу. 3. I had…
🤩3
📚 Що почитати на високих рівнях Гортайте карусель і забирайте собі книгу, з якої почнете. А якщо вже читали щось із добірки — діліться враженнями у коментарях 👀 ✅ Підписуйся на мій блог в інстаграмі, щоб отримувати ще більше корисного контенту. @sayit_loud #джерела #знахідки #почитати
🔥4❤1
🍞 Чому солодкий сніданок робить нас втомленими й дратівливими вже до обіду? У цьому інтерв'ю пояснюють зв'язок між рівнем глюкози, енергією та настроєм, а також розповідають, як зміна всього одного прийому їжі може визначити весь наш день. Ділюся лексикою: • glucose spike [ˈɡluːkəʊs spaɪk] — різкий стрибок рівня глюкози → A chocolate cake causes a big glucose spike. • craving [ˈkreɪvɪŋ] — сильне бажання (з'їсти щ…
❤6🔥2
💃 Speak for Your Visa: English Interview Training 🔥 Маю одне гаряче місце у пару на мінікурс з підготовки до отримання візи. Навіть із хорошою англійською можна розгубитися, якщо ніколи не практикувати саме формат інтерв'ю. Тому на курсі за 5 занять ми: ✦ підготуємо відповіді на найпоширеніші питання; ✦ пропрацюємо лексику для розмови про поїздку, роботу, фінанси та особисту ситуацію; ✦ навчимося відповідати на tri…
🤩4
Чим урізноманітнити фразу I think 💭 А ще більше корисних матеріалів можна знайти в моєму інстаграм-блозі, підписуйся ❤️ @sayit_loud #лексика #englishforwork
❤5🔥3
🦎 Помічали, що мимоволі копіюєте жести співрозмовника? Це не збіг — це "ефект хамелеона". 📚 Розбираємо тему і корисну лексику до неї 📚 • mimicry [ˈmɪmɪkri] — імітація, наслідування → The chameleon effect is nonconscious mimicry of gestures. • gesture [ˈdʒestʃə] — жест → Participants increased face-touching gestures during the study. • likeability — привабливість, симпатичність → People who are mimicked rate th…
❤5👍4
💼 3 фрази, які допоможуть вам звучати впевненіше на робочих зустрічах На мітингах часто не достатньо просто непогано знати англійську. Важливо вміти вчасно долучитися до розмови, уточнити думку колеги чи не погодитися — і зробити це професійно. Ось 3 фрази з мого курсу English for Meetings, які точно варто додати у свій словник👇 1. Can I jump in for a second? → Можна на секунду втрутитись? 2. Just to make sure I…
❤6😍4
🎧 Shadowing for dummies Зберігайте цей ютуб-канал, якщо хочете прокачати вимову, інтонацію та speaking через real-life English. Тут знайдете короткі уривки з фільмів, інтерв’ю та відео, які можна повторювати за носіями — тобто практикувати 💫 shadowing 💫. Як працює shadowing: 1️⃣ послухай уривок 2️⃣ зверни увагу на pronunciation & intonation 3️⃣ повтори разом зі спікером 4️⃣ повтори ще 2–3 рази 🎬 Ще тут є уривки з…
🔥6
А якщо ви ще задумуєтесь, чи варто спробувати, ловіть відгуки учасників і декілька фото з наших камерних зустрічей 🫶
💘3👍1🔥1
Showing the 9 most recent of 9 posts we hold for @sayit_loud. 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.
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 28 October 2026 — this entry's latest reading, not the date you are reading this.
“Say it loud!🎙️✨” (@sayit_loud), 199 subscribers as measured 28 October 2026. Telegram Register, tgregister.com/channel/sayit_loud.
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.