4 measurements spanning 6 days, net +25. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between β snapshots are recorded only when a count changes, so gaps mean βno change observedβ, never βinterpolatedβ. The vertical axis spans 6,213β6,254 and does not start at zero.
Measurement log β every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 07:05
6,243
-6
10 Aug 2026, 00:03
6,249
+22
7 Aug 2026, 09:01
6,227
+9
6 Aug 2026, 20:45
6,218
first reading
Engagement
25 posts held, back to 18 July 2026 β the reader has not yet reached the start of this channelβs public history, so older posts may sit further back, unread. Read across 9 pagesof Telegramβs post history, 20 posts per page.
ERR Β· 30 days
3.89%
avg views Γ· 6,243 subscribers
Avg views / post
243
25 posts measured
Reaction rate
1.65%
reactions Γ· views Β· ER floor
Posts in window
25
of 25 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) Γ· viewsβ note the denominator is views, not subscribers. Telegramβs 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 Β· latest post in window 11 August 2026
Posts held
25 (18 July 2026 β 11 August 2026)
Views total
6,074
Reactions total
100
Forwards / comments
not exposed by the public surface β not measured, not estimated
Readings taken
12 Aug 2026, 03:23 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 βcorrectingβ the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form β 8.12K, 3.7M β 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 β read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Reaction mix
100 reactions across 25 posts, in 9 distinct kinds. The most used accounts for 17.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
π₯
17
17.0%
β€
16
16.0%
β‘
14
14.0%
π
11
11.0%
π
10
10.0%
π
9
9.00%
π
8
8.00%
π
8
8.00%
π―
7
7.00%
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 β π is thanks in one channel and mourning in another β 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 β 4.34K, 1.2M β 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 25 of the 25 sampled posts in this sample. Summed by Telegramβs own count on each post β not by adding up the per-emoji breakdown above β those same posts carry 100reactions in total: the kind of figure the paragraph above means by βa reaction total printed elsewhere on the pageβ.
Measured over the 25 most recent posts we hold, published 18 July 2026 to 11 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.
π§ Yesterday's Podcast Roundup β August 10
---
Effortless English podcast | A.J. Hoge:
π The Very Best Investment
Daily Boost by Scott Smith β Motivation and Coaching:
β‘ Never Grow Up
Marketing School Tips:
π£ Content vs Paid Ads: The Answer Is Both
π£ Airtable's Acquisition Tells Us One Lesson
Marketing Podcasts:
π How to Stop Gambling for Prospects (Money Monday)
π Most People Are Just Not Asking | Tea with Gβ¦
π§ Yesterday's Podcast Roundup β August 9
---
Effortless English podcast | A.J. Hoge:
π Parents Teach Your Children
All Ears English by Lindsay McMahon and Michelle Kaplan:
π AEE 2666: After This Amazing Episode, You Owe Us One!
Daily Boost by Scott Smith β Motivation and Coaching:
β‘ Stack Dense Days
Marketing Podcasts:
π 6 Minutes to Change the Next 60 Years of Your Life
All Chinese Podcasts:
π¨π³ Homeward Hβ¦
π§ Yesterday's Podcast Roundup β August 8
---
Effortless English podcast | A.J. Hoge:
π Walk and Talk | Superior Education
All Ears English by Lindsay McMahon and Michelle Kaplan:
π BE 605: What's the Vibe You're Going for at Work?
Easy English Expression by Coach Shane:
π Easy English Expression 0504 cry me a river
Marketing Podcasts:
π MAKE POSITIVITY LOUDER
π 316 | MBA out AI skills in, rouge agents and biβ¦
π§ Yesterday's Podcast Roundup β August 7
---
Effortless English podcast | A.J. Hoge:
π How EXACTLY To Know Yourself
All Ears English by Lindsay McMahon and Michelle Kaplan:
π AEE: Four American English Pronunciation Tips
Easy English Expression by Coach Shane:
π Easy English Expression 0503 but no~~~
Marketing Podcasts:
π Drop the Poker Face, Sell With Transparency
π Why Live Shopping and Collectibles are thβ¦
π§ Yesterday's Podcast Roundup β August 6
---
Effortless English podcast | A.J. Hoge:
π How To Change Your Life | Chapter 1 | Notes From A Friend | Tony Robbins
All Ears English by Lindsay McMahon and Michelle Kaplan:
π AEE: Feeling Stressed? 4 Ways to Express it in English
IELTS Energy by Jessica Beck, Lindsay McMahon, Aubrey Carter:
π IELTS Energy 1614: How to Manage Time to Improve IELTS Reading Scores
Easyβ¦
π§ Yesterday's Podcast Roundup β August 5
---
Effortless English podcast | A.J. Hoge:
π Teach Your Child ENGLISH | The Easy Way
All Ears English by Lindsay McMahon and Michelle Kaplan:
π AEE 2665: Splash Into Summer Part 2: Time for a Road Trip!
π BE 604: Talk About Your Skills at Work with this Word
Easy English Expression by Coach Shane:
π Easy English Expression 0501 a bug
Daily Boost by Scott Smith β Motivβ¦
π§ Yesterday's Podcast Roundup β August 4
---
Effortless English podcast | A.J. Hoge:
π Relax n Talk | Dose, Tourism
All Ears English by Lindsay McMahon and Michelle Kaplan:
π AEE 2664: Are You Just Getting By?
Daily Boost by Scott Smith β Motivation and Coaching:
β‘ Break Out of Your Loving Cage
Marketing School Tips:
π£ The AI Models That Are 100x Cheaper
Marketing Podcasts:
π Start Your Black Friday Planniβ¦
π§ Yesterday's Podcast Roundup β August 3
---
Effortless English podcast | A.J. Hoge:
π Principles of Perfect Leadership | NEVER Lose
All Ears English by Lindsay McMahon and Michelle Kaplan:
π AEE 2663: 4 Ways to Use Sarcasm Like a Pro
IELTS Energy by Jessica Beck, Lindsay McMahon, Aubrey Carter:
π IELTS Energy 1613: Score Stories Part 2: Ama's IELTS Tips for Overall 8
Easy English Expression by Coach Shane:
β¦
π§ Yesterday's Podcast Roundup β August 2
---
Effortless English podcast | A.J. Hoge:
π Spiritual Benefits of Contribution
All Ears English by Lindsay McMahon and Michelle Kaplan:
π BE 602: Be Social at Work This Summer Part 2: Make the Most Out of Happy Hour
π AEE 2662: When You Know, You Know! How to Express Your Intuition in English
Daily Boost by Scott Smith β Motivation and Coaching:
β‘ Tired of Waiting forβ¦
π§ Yesterday's Podcast Roundup β August 1
---
Easy English Expression by Coach Shane:
π Easy English Expression 0497 take a dip
Marketing Podcasts:
π What Nobody is Telling You...
All Chinese Podcasts:
π¨π³ Daily Chinese Expression 358γ ζ₯δΈε vs θ΅ΆδΈδΈγ Chinese podcast -Speak Chinese with Da Peng #ζ±θ―δΏθ―εδΉ ζ―η¨θ―
π¨π³ Slow Chinese Listening Practice HSK4 Standard Course Lesson 16 Listening Q3
π¨π³ #266 Chinaβs New Maths Stars δΈβ¦
π§ Yesterday's Podcast Roundup β July 31
---
Effortless English podcast | A.J. Hoge:
π Quick Chat and Questions
IELTS Energy by Jessica Beck, Lindsay McMahon, Aubrey Carter:
π IELTS Energy 1612: Score Stories Part 1: Frankie's Overall 8 on IELTS
Easy English Expression by Coach Shane:
π Easy English Expression 0495 You name it.
π Easy English Expression 0496 to feign something
Marketing Podcasts:
π BNI 915: Wβ¦
π§ Yesterday's Podcast Roundup β July 30
---
Effortless English podcast | A.J. Hoge:
π Arise or Die | Free Yourself | QAnon
All Ears English by Lindsay McMahon and Michelle Kaplan:
π BE 601: To Cap it All Off: How to Talk About Stressful Situations at Work
Daily Boost by Scott Smith β Motivation and Coaching:
β‘ Distraction Can Be Good
Marketing School Tips:
π£ I Tested Sol 5.6 vs Fable 5 on Real Marketing Workβ¦
β€1π―1π1
Showing the 12 most recent of 25 posts we hold for @AllEnglishTeachers. 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 β was rounded by Telegram before we ever saw it β t.me prints views in full below 1,000 and to three significant figures above, so β1,200,000 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.
Mentions
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 β 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 β the βNamed by N registered channelsβ 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 13 August 2026 β this
entry's latest reading, not the date you are reading this.
βπ§ ENGLISHβ (@AllEnglishTeachers), 6,243 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/AllEnglishTeachers.
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 Β· 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.
