Channel
@ToFluencyPodcastEnglishwithJack
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
700subscribers
-3 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002123391860 |
|---|---|
| Type | Channel |
| Username | @ToFluencyPodcastEnglishwithJack |
| Created | Between 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 30 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 30 August 2026 |
| On Telegram | t.me/ToFluencyPodcastEnglishwithJack |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 30 Aug 2026, 05:35 | 700 | -3 |
| 8 Aug 2026, 02:18 | 703 | no change |
| 7 Aug 2026, 17:03 | 703 | first reading |
20 posts held, back to 26 April 2025 — 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 pageof 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 20 posts for this entry, the most recent from 16 September 2025. An engagement rate over an empty window would be a number about nothing.
58 reactions across 16 posts, in 7 distinct kinds. The most used accounts for 36.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 21 | 36.2% | |
| 👍 | 14 | 24.1% | |
| ⚡ | 10 | 17.2% | |
| 🔥 | 8 | 13.8% | |
| 👏 | 3 | 5.17% | |
| 💘 | 1 | 1.72% | |
| 🕊 | 1 | 1.72% |
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 16 of the 20 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 58reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 26 April 2025 to 16 September 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
English Listening Practice: Learn Key Words and Phrases (Tariffs) Learn key words and phrases all about tariffs in this English lesson. Practice your listening and improve your English. Useful Vocabulary and Phrases Tariffs are added to imported goods. 👉 Passive voice for focus. Example: Taxes are collected by... 🌟 Learn English with italki today! 🌟
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Learn Natural English: Talk about AI with Confidence & Get Listening Practice In this English lesson, you’ll learn how to talk about AI naturally in English. You’ll get useful phrases, idioms, and real examples so you can confidently join the conversation. How to use AI to learn English: https://youtu.be/pysIoC1bb3I Useful... 🌟 Learn English with italki today! 🌟
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Learn English through TV: Listen to this Before Watching TV in English Learning English through TV is possible. But a lot of learners don't do it the right way. Have you ever watched a TV show in English but struggled to understand what was happening? Do fast conversations, slang, and accents make it difficult to follow... 🌟 Learn English with italki today! 🌟
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20 Common English Phrases to Use in Conversation (Making Plans) In this English listening‑practice lesson we’re focusing on how to invite someone, make plans, and set dates — from a quick coffee to a full night out. You’ll master natural phrases for casual and formal invitations, learn how to suggest activities... 🌟 Learn English with italki today! 🌟
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To Fluency Podcast: AIDeep pinned «»
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Transcript
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What are articles and why are they important?
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🔥 Effortless English Podcast | Learn English with AJ Hoge 🔥 Speak English powerfully with the Effortless English system! Join AJ Hoge, "The World's #1 English Teacher," as he shares proven strategies to help you improve your spoken English effortlessly. 🗣 Master Fluent & Confident Speaking 📚 Expand Your Vocabulary 🇺🇸 Learn American English & Culture ✨ Subscribe now and become a successful English speaker and inter…
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To Fluency Podcast: AIDeep pinned «»
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Showing the 12 most recent of 20 posts we hold for @ToFluencyPodcastEnglishwithJack. 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 — 1,093,615 of 1,627,068entries 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.
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.
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 30 August 2026 — this entry's latest reading, not the date you are reading this.
“To Fluency Podcast: AIDeep” (@ToFluencyPodcastEnglishwithJack), 700 subscribers as measured 30 August 2026. Telegram Register, tgregister.com/channel/ToFluencyPodcastEnglishwithJack.
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.