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Channel

lizenglish | tutor’s corner

@liz_english

On this record: Growth · Engagement · Reactions · Stars · Posts · Citations · Cite this entry

5,732subscribers

-33 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001630972615
TypeChannel
Username@liz_english
CreatedBetween 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live19 August 2026
Measurements held6
Confirmed unchanged1 time, most recently 19 August 2026
On Telegramt.me/liz_english

Growth

5,7325,7655,748.57 August 2026 — 5,765 subscribers7 August 2026 — 5,765 subscribers10 August 2026 — 5,759 subscribers12 August 2026 — 5,745 subscribers16 August 2026 — 5,734 subscribers19 August 2026 — 5,732 subscribers7 August 202619 August 2026
6 measurements spanning 12 days, net -33. 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 5,727–5,770 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
19 Aug 2026, 06:355,732-2
16 Aug 2026, 08:585,734-11
12 Aug 2026, 21:155,745-14
10 Aug 2026, 03:025,759-6
7 Aug 2026, 06:075,765no change
7 Aug 2026, 03:155,765first reading

Engagement

18 posts held, back to 24 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 9 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
15.4%
avg views ÷ 5,732 subscribers
Avg views / post
884
17 posts measured
Reaction rate
5.72%
reactions ÷ views · ER floor
Posts in window
18
of 18 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
WindowRolling 30 days · latest post in window 11 August 2026
Posts held18 (24 July 202611 August 2026)
Views total15,022
Reactions total860
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 05:03 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.

Reaction mix

860 reactions across 17 posts, in 6 distinct kinds. The most used accounts for 47.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
41147.8%
custom 533002302671504061218421.4%
custom 519059221344004038817820.7%
🍓708.14%
custom 5334707474530330964121.40%
💋50.581%

Custom emoji. 3 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them areTelegram’s.

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 17 of the 18 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 860reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 24 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.

Telegram Stars

Stars received
1
across the posts below
Posts paid on
1
of 17 we hold a reading for · 6%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @liz_english. 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 18 most recent posts we hold for this entry, published 24 July 2026 to 11 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.

Recent posts

11 Aug 2026, 09:39 UTC210 views12 reactionsread 12 August 2026
Forwarded from @lizenglish_shopPhoto

🤍 the end of summer: why it feels like loss Урок о том, почему конец лета ощущается как потеря — и что за этим стоит психологически. Разберём, откуда берётся тоска после отпуска, почему мы так держимся за уходящее и как перестать «застревать» в старых паттернах при смене сезона. B1, B2, C1, teens + adults miro + pdf внутри ⤵️ 🕙 warm-up обсуждаем, меняется ли настроение с концом лета и когда это чувствуется сильне

6custom 51905922134400403884custom 53300230267150406122

10 Aug 2026, 10:35 UTC448 views14 reactionsread 12 August 2026
Photo

😁 deep talk lab | psy-themed lessons — канал для преподавателей с уроками на терапевтичные, глубокие, актуальные темы. ☕️ я КПТ-психолог, магистрант МГУ, поэтому каждая тема проходит через фильтр этики. никакой воды и поверхностных обсуждений — только то, что реально цепляет и подростков, и взрослых. 📷 в каждом уроке — живые истории, актуальные сценарии, много speaking и listening. лексика не просто даётся, а прор

8custom 51905922134400403883💋2custom 53300230267150406121

7 Aug 2026, 10:15 UTC748 views64 reactions1 Starread 12 August 2026
Photo

🌾🌰 august reading A2-B2 подготовила psy-themed texts. классно будет дать их в качестве homework ученикам, а также взять в дополнение к урокам, которые я публиковала в магазинчике 🌷 the end of summer: why it feels like loss: почему конец лета ощущается как потеря. 🌷 september is the new january: why we restart in autumn: о «сентябрьском синдроме» — почему именно осень, а не январь, ощущается для многих как настояща

33custom 519059221344004038819custom 533002302671504061212

3 Aug 2026, 17:10 UTC783 views6 reactionsread 12 August 2026

📷 отзыв на relationships set — уроки, которые сэкономят часы вашей работы и дадут возможность обсудить крутые, актуальные темы! // каждый урок основан на научных данных //

6

3 Aug 2026, 17:08 UTC733 views21 reactionsread 12 August 2026
Forwarded from @cappuccino_english

Приобрела комплект уроков, пролистала, мне нравится, отличная работа 👏. Обязательно буду использовать 🤝

9custom 51905922134400403886custom 53300230267150406126

3 Aug 2026, 10:34 UTC820 views39 reactionsread 12 August 2026
Forwarded from @lizenglish_shopPhoto

🏠 RELATIONSHIPS SET В1, В1+, В2, teens and adults miro + pdf Почему мы притягиваем один и тот же типаж? Что делает дружбу настоящей? Уроки о том, как мы строим связи с людьми — разберем через призму науки. Уроки, которые входят в набор: 🤍 Attachment styles — как формируются модели близости 📷 Building healthy friendships — из чего складывается крепкая дружба 👯‍♀️ The power of female friendship — почему женская дру

16custom 533002302671504061212custom 519059221344004038811

3 Aug 2026, 09:56 UTC825 views71 reactionsread 12 August 2026
Photo

🤍🤍 psychological digest — ready-made lessons • parasocial relationships • gratitude matters • emotional support objects • healthy boundaries • the power of compliments • what is gaslighting? • toxic positivity • stranger things | psychology of hawkings • jealousy talk • guilty pleasures • psychology of failure [video based] • world kindness day • cloud dancer: 2026 colour • why do we feel lazy after holidays • pro

29custom 519059221344004038822custom 533002302671504061219💋1

1 Aug 2026, 08:18 UTC880 views24 reactionsread 12 August 2026

уроки реально крутецкие, моим очень заходят!!

11custom 51905922134400403887custom 53300230267150406125💋1

1 Aug 2026, 07:50 UTC861 views10 reactionsread 12 August 2026

большинство участников DEEP TALK LAB продлевают доступ ежемесячно! это точно знак качества 💎

custom 519059221344004038810

1 Aug 2026, 07:50 UTC864 views13 reactionsread 12 August 2026

Уроки топ!! С таким глубоким пониманием психологии… не найти! А эстетика 😍😍😍

13

1 Aug 2026, 07:02 UTC≈1,160 views37 reactionsread 12 August 2026
Photo

🤍Deep Talk Lab | psy-themed lessons — пространство для преподавателей с готовыми уроками на важные и глубокие темы. Hi there! Я уже не раз рассказывала, что psychology-related issues — буквально моя вторая профессия (я КПТ психолог, заканчиваю психфак МГУ). Я знаю, как подать эти темы для подростков и взрослых безопасно, этично и эффективно. Deep Talk Lab — это: 🤍 полноценные, методически грамотные уроки — никаких

17custom 533002302671504061210custom 51905922134400403889💋1

Showing the 12 most recent of 18 posts we hold for @liz_english. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Citation-graph rank

Citation-graph rank — 850,419 of 1,568,528entries 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 3 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.

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.

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 19 August 2026 — this entry's latest reading, not the date you are reading this.

“lizenglish | tutor’s corner” (@liz_english), 5,732 subscribers as measured 19 August 2026. Telegram Register, tgregister.com/channel/liz_english.

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.