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Promotion: @love_data
Created
Between 1 April 2019 and 30 September 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
9 measurements spanning 8 days, net +99. 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 41,238–41,378 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Aug 2026, 23:36
41,362
+31
13 Aug 2026, 13:59
41,331
+20
12 Aug 2026, 16:14
41,311
+15
11 Aug 2026, 18:58
41,296
+14
10 Aug 2026, 17:38
41,282
+17
9 Aug 2026, 16:06
41,265
+11
8 Aug 2026, 13:15
41,254
-14
7 Aug 2026, 13:41
41,268
+5
6 Aug 2026, 14:48
41,263
first reading
Engagement
26 posts held, back to 15 December 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 22 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
6.22%
avg views ÷ 41,362 subscribers
Avg views / post
2,570
13 posts measured
Reaction rate
0.787%
reactions ÷ views · ER floor
Posts in window
13
of 26 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
Window
Rolling 30 days · latest post in window 15 August 2026
Posts held
26 (15 December 2025 – 15 August 2026)
Views total
33,432
Reactions total
263
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
15 Aug 2026, 12:56 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
Photos
5
Links
108
Lifetime counters from Telegram’s own channel header, read 15 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Reaction mix
842 reactions across 26 posts, in 8 distinct kinds. The most used accounts for 90.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
762
90.5%
👍
59
7.01%
👏
6
0.713%
😁
6
0.713%
🥰
4
0.475%
🔥
3
0.356%
👎
1
0.119%
🤔
1
0.119%
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 26 of the 26 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 842reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 26 most recent posts we hold, published 15 December 2025 to 15 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.
Telegram Stars
Stars received
1
across the posts below
Posts paid on
1
of 26 we hold a reading for · 4%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @englishlearnerspro. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 26 most recent posts we hold for this entry, published 15 December 2025 to 15 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
🗣️ 10 WAYS TO IMPROVE YOUR ENGLISH PRONUNCIATION
Guys, you may know a lot of English words...
But if you don't pronounce them clearly, people may struggle to understand you.
Good pronunciation isn't about having a perfect accent.
It's about speaking clearly and making your words easy to understand.
👉 1. Listen before you speak
Don't learn a word only by reading it. Listen to how it's actually pronounced.
👉 2. …
🗣️ HOW TO SPEAK ENGLISH WITHOUT GETTING STUCK MID-SENTENCE
Guys, have you ever started speaking in English and suddenly...
You forget the next word. 😶
Your sentence breaks.
You start repeating yourself.
Or you completely lose your train of thought.
The good news?
You can train yourself to handle these moments better.
👉 1. Don't panic when you forget a word
If you can't remember a word, don't stop completely.
Expla…
🗣️ HOW TO STOP FUMBLING OR MIXING WORDS WHILE SPEAKING ENGLISH
Guys, sometimes you know exactly what you want to say...
But when you start speaking, the words come out in the wrong order, you forget a word, or you suddenly start fumbling.
Don't worry. This is common, especially when you're trying to speak quickly or thinking too much about making mistakes.
👉 1. Slow down
Don't try to speak faster than you can thi…
📚 Grammar Tip of the Day
👉 Much and Many are used differently!
✨ Here’s the difference:
✅ Many = used with things you can count
➤ I have many books. 📚
➤ There are many students in the class. 👨🎓
➤ How many questions are left? ❓
✅ Much = used with things you cannot count individually
➤ I don’t have much time. ⏰
➤ How much water do you drink? 💧
➤ We don’t need much money. 💰
🧠 Quick Trick: If you can count it → Man…
🗣️ HOW TO SPEAK ENGLISH MORE CONFIDENTLY
Guys, sometimes you know exactly what you want to say...
But when it's time to speak in English, suddenly you start thinking:
“Is my grammar correct?”
“What if I make a mistake?”
“What will people think?”
And that's where confidence disappears.
👉 1. Stop translating everything
Try to think directly in English instead of translating every sentence from your native language.…
🧠 HOW TO IMPROVE YOUR COMMUNICATION SKILLS
Guys, one of the most underrated career skills...
Is knowing how to communicate clearly.
You can have great technical skills, but if you cannot explain your ideas, your value may not be understood.
👉 1. Think before you speak
Don't rush to answer. Take a moment, organize your thoughts, and then respond clearly 🧠
👉 2. Keep it simple
Good communication isn't about using co…
📚 Grammar Tip of the Day
👉 To, Too, and Two sound the same, but they have different meanings!
✨ Here's the difference:
• ✅ To = used to show direction, destination, or purpose
➤ I am going to the office. 🏢
➤ She wants to learn English. 📖
• ✅ Too = means also or more than enough
➤ I want to come too. 😊
➤ This bag is too heavy. 🎒
• ✅ Two = the number 2
➤ I have two brothers. 👬
➤ She bought two books. 📚📚
🧠 Q…
📚 Grammar Tip of the Day
👉 In and On are not the same!
✨ Here's the difference:
• ✅ In = used when something is inside a place, container, or area
➤ The keys are in my bag. 🎒
➤ She lives in Mumbai. 🏙️
➤ There is milk in the fridge. 🥛
• ✅ On = used when something is touching the surface of something
➤ The book is on the table. 📚
➤ Your phone is on the bed. 📱
➤ There is a picture on the wall. 🖼️
🧠 Quick Trick: In …
📚 Grammar Tip of the Day
👉 Affect and Effect are commonly confused!
✨ Here's the difference:
• ✅ Affect = usually a verb (to influence or change something)
➤ Lack of sleep can affect your health. 😴
➤ The weather affected our travel plans. 🌧️
• ✅ Effect = usually a noun (the result or outcome)
➤ The new policy had a positive effect. 📈
➤ Exercise has a good effect on your mood. 😊
🧠 Quick Trick:
Affect = Action (bo…
📚 Grammar Tip of the Day
👉 Who and That are used differently in sentences!
✨ Here's the difference:
• ✅ Who = used when referring to people
➤ The teacher who explained the topic was amazing. 👨🏫
➤ She is the person who helped me. 😊
• ✅ That = used when referring to things, animals, or objects
➤ This is the book that I borrowed. 📚
➤ The car that broke down has been repaired. 🚗
🧠 Quick Trick: Use Who for people. U…
📚 Grammar Tip of the Day
👉 Then and Than are often confused, but they have different meanings!
✨ Here's the difference:
• ✅ Then = refers to time or what happens next
➤ Finish your homework, then watch TV. 📚➡️📺
➤ Back then, we didn't have smartphones. 📱
• ✅ Than = used to compare two things
➤ She is taller than her brother. 📏
➤ Coffee is stronger than tea. ☕
🧠 Quick Trick:
Use Then for Time (both have the letter…
➥ Basic English → Advanced English
1. Big → Enormous
2. Small → Minute
3. Good → Exceptional
4. Bad → Detrimental
5. Happy → Delighted
6. Sad → Melancholy
7. Easy → Effortless
8. Hard → Challenging
9. Fast → Rapid
10. Slow → Gradual
11. Rich → Wealthy
12. Poor → Impoverished
13. Safe → Secure
14. Clear → Transparent
15. Strong → Robust
16. Weak → Fragile
17. Smart → Intelligent
18. Famous → Renowned
19. Important → …
❤33👍4🥰2
Showing the 12 most recent of 26 posts we hold for @englishlearnerspro. 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 — 84,203 of 1,478,351entries 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.
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.
Mentions
Named by 7 registered channels — 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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
Data Analytics @sqlspecialist · 110,748 Telegram ranks this channel #65 of 83 here — alongside 82 others — read 14 August 2026
Jobs | Internships | Placement | Interviews @getjobss · 113,104 Telegram ranks this channel #67 of 83 here — alongside 82 others — read 14 August 2026
Great Learning Academy @GreatLearningAcademy · 157,452 Telegram ranks this channel #77 of 83 here — alongside 82 others — read 12 August 2026
English Grammar IELTS TOEFL @English_Grammar_IELTS_TOEFL · 280,705 Telegram ranks this channel #82 of 90 here — alongside 89 others — read 10 August 2026
This channel appears in 4 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 14 August 2026 — this
entry's latest reading, not the date you are reading this.
“Learn English Speaking | Daily Conversation | IELTS | Grammar” (@englishlearnerspro), 41,362 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/englishlearnerspro.
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.