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Channel

English Quiz

@englishonquiz

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · Reactions · Posts · Polls · Citations · Cite this entry

13,426subscribers

-520 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002681995919
TypeChannel
Username@englishonquiz
CreatedBetween 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live24 September 2026
Measurements held35
Confirmed unchanged1 time, most recently 24 September 2026
On Telegramt.me/englishonquiz

Topic

Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 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 why it has no browse page of its own yet.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@englishonquiz/2621 · this entry30 Jul 2026, 06:00 UTC@not_the_english_you_might_know/146830 Jul 2026, 06:00 UTC1.00under a minute
@englishonquiz/2628 · this entry1 Aug 2026, 06:00 UTC@not_the_english_you_might_know/14731 Aug 2026, 06:00 UTC1.00under a minute
@englishonquiz/2631 · this entry2 Aug 2026, 06:00 UTC@not_the_english_you_might_know/14752 Aug 2026, 06:00 UTC1.00under a minute
@englishonquiz/2633 · this entry3 Aug 2026, 06:00 UTC@not_the_english_you_might_know/14773 Aug 2026, 06:00 UTC1.00under a minute
@englishonquiz/2636 · this entry3 Aug 2026, 11:01 UTC@not_the_english_you_might_know/14793 Aug 2026, 11:01 UTC1.00under a minute
@englishonquiz/2638 · this entry4 Aug 2026, 06:00 UTC@not_the_english_you_might_know/14804 Aug 2026, 06:00 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@not_the_english_you_might_know9 (8/8 hand-verifiable sample passed)1.00under a minute@not_the_english_you_might_know (9–0)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 1 of the 9 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 9 comparable posts for this entry, running 30 July 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 2, the earliest publisher we hold is @not_the_english_you_might_know. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_copy, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

13,42613,94613,6867 August 2026 — 13,946 subscribers7 August 2026 — 13,946 subscribers8 August 2026 — 13,939 subscribers9 August 2026 — 13,921 subscribers10 August 2026 — 13,905 subscribers11 August 2026 — 13,904 subscribers12 August 2026 — 13,895 subscribers13 August 2026 — 13,916 subscribers14 August 2026 — 13,897 subscribers16 August 2026 — 13,868 subscribers17 August 2026 — 13,842 subscribers18 August 2026 — 13,825 subscribers19 August 2026 — 13,810 subscribers20 August 2026 — 13,791 subscribers21 August 2026 — 13,782 subscribers22 August 2026 — 13,768 subscribers24 August 2026 — 13,740 subscribers25 August 2026 — 13,729 subscribers26 August 2026 — 13,716 subscribers27 August 2026 — 13,703 subscribers28 August 2026 — 13,688 subscribers29 August 2026 — 13,679 subscribers30 August 2026 — 13,667 subscribers31 August 2026 — 13,647 subscribers1 September 2026 — 13,632 subscribers2 September 2026 — 13,616 subscribers3 September 2026 — 13,607 subscribers5 September 2026 — 13,585 subscribers8 September 2026 — 13,584 subscribers10 September 2026 — 13,559 subscribers12 September 2026 — 13,540 subscribers14 September 2026 — 13,516 subscribers16 September 2026 — 13,494 subscribers18 September 2026 — 13,478 subscribers24 September 2026 — 13,426 subscribers7 August 202624 September 2026
35 measurements spanning 48 days, net -520. 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 13,348–14,024 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)SubscribersChange
24 Sept 2026, 23:3813,426-52
18 Sept 2026, 20:1813,478-16
16 Sept 2026, 14:4013,494-22
14 Sept 2026, 15:3913,516-24
12 Sept 2026, 23:4113,540-19
10 Sept 2026, 23:5713,559-25
8 Sept 2026, 00:4013,584-1
5 Sept 2026, 00:2113,585-22
3 Sept 2026, 09:3713,607-9
2 Sept 2026, 04:1313,616-16
1 Sept 2026, 04:4613,632-15
31 Aug 2026, 05:0313,647-20
30 Aug 2026, 03:4413,667-12
29 Aug 2026, 02:1313,679-9
28 Aug 2026, 05:3413,688-15
27 Aug 2026, 08:1713,703-13
26 Aug 2026, 10:2413,716-13
25 Aug 2026, 08:5313,729-11
24 Aug 2026, 10:5413,740-28
22 Aug 2026, 16:2713,768first reading

Engagement

87 posts held, back to 29 July 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 56 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.70%
avg views ÷ 13,426 subscribers
Avg views / post
362
9 posts measured
Reaction rate
0.716%
reactions ÷ views · ER floor
Posts in window
9
of 87 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. It is computed over the 5 of 9 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 2 September 2026
Posts held87 (29 July 2026 – 2 September 2026)
Views total3,261
Reactions total15
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken2 Sept 2026, 19:51 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

195 reactions across 56 posts, in 14 distinct kinds. The most used accounts for 67.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤13167.2%
👍2211.3%
🔥136.67%
❤‍🔥94.62%
👏31.54%
💘31.54%
😁31.54%
🥰31.54%
🙈21.03%
🤣21.03%
👎10.513%
💋10.513%
😢10.513%
🤪10.513%

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 59 of the 87 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 195 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 87 most recent posts we hold, published 29 July 2026 to 2 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.

Recent posts

2 Sept 2026, 12:00 UTC231 viewsread 2 September 2026
Photo

Паааааапкаааааа Просто топ! Всё необходимое для английского — в наших 12 каналах: • разбор лексики сериалов • разговорный английский • чильное изучение • системное изучение Урвать папку себе: кликните на эту ссылку ➡️ https://t.me/add_my_best_chan ⬅️ затем нажмите "добавить". Ссылка жива пока, так что самое время забрать папку себе

2 Sept 2026, 11:00 UTC245 viewsread 2 September 2026
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IT IS NEVER TOO LATE TO MEND Смысл пословицы it is never too late to mend заключается в том, что всегда есть время, чтобы исправить или поработать над испорченными отношениями (mend – ремонтировать, чинить). 👉🏻It is never too late to mend - исправить ошибку никогда не поздно. @not_the_english_you_might_know

2 Sept 2026, 06:00 UTC279 viewsread 2 September 2026
Photo

У нас: Опасайся бед, пока их нет У них: A danger foreseen is half avoided Предвиденная опасность — наполовину избегнута #blind_cat_messages Учите английский с нами в МАХ 😽

1 Sept 2026, 11:00 UTC361 views3 reactionsread 2 September 2026
Photo

Уникальные региональные выражения в США ❗️В каждом регионе США есть региональные языковые различия, и каждый американец говорит на своем диалекте. ☝🏻За региональными различиями стоит ряд факторов. Одним из основных факторов региональных диалектов является расселение местности. Изоляция - еще один важный фактор региональных диалектов. Стереотипы относительно социального положения, образования и интеллекта также влия…

🔥3

1 Sept 2026, 06:00 UTC348 views3 reactionsread 2 September 2026
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У нас: У дурака в горсти дыра У них: A fool and his money are soon parted Дурак и его деньги скоро расстаются #blind_cat_messages Учите английский с нами в МАХ 😽

❤3

31 Aug 2026, 11:00 UTC432 views1 reactionsread 2 September 2026
Photo

Breaking the Ice Итак, после обмена именами и коротких рукопожатий, что дальше? Стоять в тишине, неловко улыбаясь? Надеясь, что другой человек заговорит? Лучше попробуй эти фразы, которые разобьют лед и сократят пропасть между тобой и твоим собеседником: 👉🏻Nice room. 👉🏻There’s a lot of people here. 👉🏻Lovely party. 👉🏻Where are you from? 👉🏻How do you know Jill (the hostess)? 👉🏻Have you been on this sort of course bef…

👍1

31 Aug 2026, 06:00 UTC411 viewsread 2 September 2026
Photo

У нас: На воре шапка горит У них: A guilty conscience needs no accuser Нечистой совести не нужен обвинитель #blind_cat_messages Учите английский с нами в МАХ 😽

30 Aug 2026, 11:00 UTC490 views4 reactionsread 2 September 2026
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Common Electronics Phrases Область электротехники содержит множество неологизмов и жаргона, а также всем знакомые повседневные слова, используемые в определенном смысле. Вот несколько таких👇🏻 🔹Tech-savvy – технически подкован, разбирается в технике. ▫️Sometimes I think my 7 year old niece is more tech-savvy than I am. 🔹Scroll – просматривать, прокручивать, «скроллить» страницы в интернете. ▫️I just wasted ten minu…

🔥2❤1👍1

30 Aug 2026, 06:00 UTC464 views4 reactionsread 2 September 2026
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У нас: Не зная броду, не суйся в воду У них: Look before you leap Смотри, прежде чем прыгнуть #blind_cat_messages Учите английский с нами в МАХ 😽

❤4

29 Aug 2026, 11:00 UTC556 views8 reactionsread 2 September 2026
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Phone Vocabulary 📱 Любой зумер уже с пеленок знает, как пользоваться смартфоном, что и как называется, где и что открыть, чтобы воспользоваться функциями телефона. Чтобы опередить нынешнее поколение, я считаю, стоит выучить всё то же самое, но еще и на английском (а то чегой-то они!) 🔸Power button – кнопка включения 🔸Volume button – кнопка звука 🔸Charging port – зарядный отсек 🔸Charger – зарядное устройство 🔸Headph…

❤7👍1

29 Aug 2026, 06:00 UTC525 views4 reactionsread 2 September 2026
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У нас: Обжёгшись на молоке, будешь дуть и на воду У них: Once bitten, twice shy Один раз укушенный, дважды осторожный #blind_cat_messages Учите английский с нами в МАХ 😽

❤4

Showing the 12 most recent of 87 posts we hold for @englishonquiz. 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.

Polls

The 6 most recent of 12 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.

9 Aug 2026, 11:00 UTCAnonymous Quiz225 voters

Как перевести DUTCH COMFORT❓

  1. Идеальный комфорт23%
  2. Дурацкое утешение68%
  3. Морская каюта экстра-класса9%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

8 Aug 2026, 11:00 UTCAnonymous Quiz252 voters

Что такое DUTCH HEADACHE❓

  1. Головная боль с похмелья73%
  2. Голландская система здравоохранения15%
  3. Алкоголизм моряков13%

Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.

7 Aug 2026, 11:00 UTCAnonymous Quiz234 voters

Что такое DUTCH TREAT❓

  1. Голландское блюдо7%
  2. Банкет, где каждый платит за себя64%
  3. Обильное угощение29%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

6 Aug 2026, 11:00 UTCAnonymous Quiz253 voters

Кто такой DUTCH UNCLE❓

  1. Родственник из Голландии11%
  2. Добрый дядюшка43%
  3. Строгий наставник46%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

5 Aug 2026, 11:00 UTCAnonymous Quiz246 voters

Как перевести DUTCH COURAGE❓

  1. Пьяная смелость61%
  2. Голландская рассудительность30%
  3. Подвиг на море9%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

4 Aug 2026, 11:00 UTCAnonymous Quiz277 voters

Как перевести DUTCH WIDOW❓

  1. Вдова моряка22%
  2. Проститутка56%
  3. Голландская вдова21%

Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 87 most recent posts we hold, published 29 July 2026 to 2 September 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

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 — 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 24 September 2026 — this entry's latest reading, not the date you are reading this.

“English Quiz” (@englishonquiz), 13,426 subscribers as measured 24 September 2026. Telegram Register, tgregister.com/channel/englishonquiz.

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.