Channel
@Stories_in_Englishh
On this record: Growth · Engagement · Posts · Citations · Cite this entry
913subscribers
+904 since we began measuring on 19 October 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1004441092362 |
|---|---|
| Type | Channel |
| Username | @Stories_in_Englishh |
| Created | Between 1 June 2026 and 30 September 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 19 October 2026 |
| Last confirmed live | 27 October 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 27 October 2026 |
| On Telegram | t.me/Stories_in_Englishh |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 27 Oct 2026, 13:27 | 913 | +665 |
| 20 Oct 2026, 02:49 | 248 | +239 |
| 19 Oct 2026, 12:22 | 9 | no change |
| 19 Oct 2026, 11:49 | 9 | first reading |
20 posts held, back to 16 October 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 1 page of Telegram’s 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) ÷ 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.
| Window | Rolling 30 days · latest post in window 18 October 2026 |
|---|---|
| Posts held | 20 (16 October 2026 – 18 October 2026) |
| Views total | 137 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 19 Oct 2026, 12:22 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.
27. 🧚 The Fairy Photos That Fooled Sherlock Holmes’s Creator 🇬🇧 In 1917, in the village of Cottingley in Yorkshire, nine-year-old Frances Griffiths came home with wet shoes. She said she had been playing with fairies by the stream. Her parents laughed. So Frances and her 16-year-old cousin, Elsie Wright, borrowed a camera and came back with a photograph. In it, Frances sat by the stream, and in front of her, four tin…
Photo, posted without a caption
26. 🧊 The Frozen Man Who Was Murdered 5,300 Years Ago 🇬🇧 In September 1991, two hikers, Erika and Helmut Simon, were walking in the Alps on the border between Austria and Italy. At an altitude of 3,200 metres, they saw a brown body in the melting ice. They thought it was an unlucky climber who had died a few years before and called the police. The rescuers did not hurry. To free the body, they used a jackhammer and e…
Photo, posted without a caption
Channel photo updated
25. 🚀 The Message We Sent to Aliens 🇬🇧 In 1977, NASA launched two small spacecraft called Voyager 1 and Voyager 2. Their main job was to explore the giant planets of our solar system. But each of them carried something unusual on its side: a golden record, a kind of message in a bottle for anyone who might find it in space. A team led by astronomer Carl Sagan had only a few months to decide what to put on it. They ch…
Photo, posted without a caption
24. 🩺 The Fake Doctor Who Operated on Real Soldiers 🇬🇧 In 1951, a new surgeon joined the Canadian warship HMCS Cayuga, which was sailing to the Korean War. He called himself Dr. Joseph Cyr, and the officers liked him at once. He was calm, friendly and confident. There was only one problem: he was not a doctor. His real name was Ferdinand Demara, and he had never studied medicine. Demara had stolen the papers of a rea…
Photo, posted without a caption
23. 🎅 Santa Claus Was a Real Person 🇬🇧 Santa Claus began as a real man named Nicholas, a bishop who lived in the 4th century in the town of Myra, in today’s Turkey. He was famous for helping poor people in secret. According to a legend, a poor man could not pay for the weddings of his three daughters. At night, Nicholas threw bags of gold through the window, and the girls could get married. After his death, he became…
Photo, posted without a caption
22. 📡 The Actress Who Invented Secret Radio 🇬🇧 Hedy Lamarr was one of the most famous film stars of the 1940s. People called her “the most beautiful woman in the world”. But in her free time, she loved to invent. She had no formal training, but she was curious and clever, and she was afraid for her friends and family in Europe during the Second World War. She wanted to help defeat the enemy. Together with composer Ge…
Showing the 12 most recent of 20 posts we hold for @Stories_in_Englishh. 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.
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.
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.
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 27 October 2026 — this entry's latest reading, not the date you are reading this.
“Stories in English” (@Stories_in_Englishh), 913 subscribers as measured 27 October 2026. Telegram Register, tgregister.com/channel/Stories_in_Englishh.
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.