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Channel
@EnglishNexuss
On this record: Growth Β· Engagement Β· What this channel posts Β· Reactions Β· Posts Β· Citations Β· Cite this entry
358subscribers
-58 since we began measuring on 7 August 2026
Risers and fallers across the register Β· movement among entries of Under 1,000.
| Telegram ID | -1002947445887 |
|---|---|
| Type | Channel |
| Username | @EnglishNexuss |
| Created | Between 1 August 2025 and 31 October 2025 β estimated from Telegramβs id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 24 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 24 August 2026 |
| On Telegram | t.me/EnglishNexuss |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 24 Aug 2026, 11:17 | 358 | -26 |
| 15 Aug 2026, 18:03 | 384 | -30 |
| 8 Aug 2026, 13:57 | 414 | -2 |
| 8 Aug 2026, 05:33 | 416 | no change |
| 7 Aug 2026, 19:10 | 416 | first reading |
20 posts held, back to 5 August 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 1 page of Telegramβs post history, 20 posts per page.
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· views β 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. It is computed over the 17 of 20 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days Β· latest post in window 8 August 2026 |
|---|---|
| Posts held | 20 (5 August 2026 β 8 August 2026) |
| Views total | 1,773 |
| Reactions total | 31 |
| Forwards / comments | not exposed by the public surface β not measured, not estimated |
| Readings taken | 8 Aug 2026, 05:33 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.
Measured directly from 3 videos with a duration reading, out of the posts we hold for this channel β not this channelβs whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegramβs own rounded chrome, so it carries no β mark.
31 reactions across 17 posts, in 5 distinct kinds. The most used accounts for 61.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| β€ | 19 | 61.3% | |
| β€βπ₯ | 5 | 16.1% | |
| π | 5 | 16.1% | |
| β‘ | 1 | 3.23% | |
| π | 1 | 3.23% |
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 17 of the 20 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 31 reactions in total: the kind of figure the paragraph above means by βa reaction total printed elsewhere on the pageβ.
Measured over the 20 most recent posts we hold, published 5 August 2026 to 8 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.
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π Hard Wordsπ Exceptional π¬π§ ek-sep-shuh-nl πΊπΈ ik-sep-shuh-nl β unusually good or rare. Unprecedented π¬π§ un-PRES-i-den-tid πΊπΈ un-PRES-i-den-tid β never seen before. Vigilant π¬π§ VIJ-uh-lunt πΊπΈ VIJ-uh-lunt β watchful and alert. Heatwaves π¬π§ HEET-wayvz πΊπΈ HEET-wayvz β long periods of extreme heat. Droughts π¬π§ DROWTS πΊπΈ DROWTS β long periods without enough rain.
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π Read & Record Activity ποΈ π Date: 08 August 2026 (Saturday). π The Return of a Powerful El NiΓ±o. Scientists are closely monitoring the Pacific Ocean as a strong El NiΓ±o continues to develop. According to recent forecasts, there is a high chance that it could become one of the most exceptional El NiΓ±o events in centuries by the end of 2026. Some researchers have even compared its possible strength to the famous "Gβ¦
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π Hard Words & Meanings Pregnant β carrying a baby Coma β a deep unconscious state Frantically β in a very worried or panicked way Twins β two babies born at the same time Niece β the daughter of your brother or sister Nephew β the son of your brother or sister Denise β a female name that sounds like βthe nieceβ DeNephew β a funny invented name that sounds like βthe nephewβ π
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π Joke Time π A pregnant woman gets into a car accident and falls into a deep coma. After nearly six months, she wakes up and discovers that she is no longer pregnant. Frantically, she asks the doctor about her baby. The doctor smiles and says, βMaβam, you had twinsβa boy and a girl. Both babies are perfectly fine. Your brother came to the hospital and named them.β The woman thinks, βOh no! Not my brother. Heβs an iβ¦
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Idiom of the Day
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National Handloom Day is celebrated every year on August 7 in India to honour the artisan weaving community and highlight the handloom industry's massive socio-economic contributions.
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Jo Nagai, a young student from Japan, gained international attention after recreating a fascinating scientific experiment that explored whether caterpillars retain memories after they transform into butterflies. The original research suggested that insects trained to associate certain smells with mild electric shocks during their caterpillar stage might still remember those associations even after undergoing the dramβ¦
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π¦ Hard Words & Pronunciationπ¦ 1. Jo Nagai π¦π―π΅ How to read: Joh Nuh-GUY π¬π§ UK: /dΚΙΚ nΙΛΙ‘aΙͺ/ πΊπΈ US: /dΚoΚ nΙΛΙ‘aΙͺ/ π‘ Meaning: The young Japanese student in the story. 2. Kobe ποΈπ―π΅ How to read: KOH-bay π¬π§ UK: /ΛkΙΚ.beΙͺ/ πΊπΈ US: /ΛkoΚ.beΙͺ/ π‘ Meaning: A city in Japan. 3. Meticulous π How to read: muh-TIK-yuh-lus π¬π§ UK: /mΙΛtΙͺk.jΙ.lΙs/ πΊπΈ US: /mΙΛtΙͺk.jΙ.lΙs/ π‘ Meaning: Very careful and paying attention to every detaiβ¦
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Showing the 12 most recent of 20 posts we hold for @EnglishNexuss. 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.
Citation-graph rank β 393,402 of 1,629,452 entries in the measured graph. A weighted position computed from the forward and mention edges below β republished posts weigh more than named mentions β 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 channelβs 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 β a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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.
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 August 2026 β this entry's latest reading, not the date you are reading this.
βππ‘ππππ¦π π‘ππ«π¨π¦ ππππ‘π‘ππβ (@EnglishNexuss), 358 subscribers as measured 24 August 2026. Telegram Register, tgregister.com/channel/EnglishNexuss.
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.