Maya Hawke has been cast in the live-action ‘MAGIC: THE GATHERING’ movie. Matt Johnson (‘Nirvanna: The Band - The Show - The Movie’) is set to direct. (Source: Deadline)
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Channel
@iPapkorn
On this record: Topic · Growth · Engagement · What this channel posts · View velocity · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Telegram's recommendations · Domains linked from posts · Cite this entry
1,822,986subscribers
-124,316 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among the largest entries.
| Telegram ID | -1001263088130 |
|---|---|
| Type | Channel |
| Username | @iPapkorn |
| Description | 🌐 https://ipapkorn.github.io Your movie recommendation system. Place Ad: https://telega.io/c/iPapkorn |
| Created | 20 July 2021 — measured — dated from the channel’s first post |
| First recorded | 7 August 2026 |
| Last confirmed live | 6 November 2026 |
| Measurements held | 62 |
| Confirmed unchanged | 1 time, most recently 6 November 2026 |
| On Telegram | t.me/iPapkorn |
Film & TV — 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 8 August 2026 and assigned it the closest of 31 fixed categories, at 96% 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 the other topics.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Nov 2026, 23:29 | 1,822,986 | -1,168 |
| 6 Nov 2026, 02:56 | 1,824,154 | -1,264 |
| 5 Nov 2026, 04:09 | 1,825,418 | -1,093 |
| 4 Nov 2026, 05:29 | 1,826,511 | -1,481 |
| 3 Nov 2026, 04:18 | 1,827,992 | -1,394 |
| 2 Nov 2026, 00:38 | 1,829,386 | -1,284 |
| 31 Oct 2026, 22:21 | 1,830,670 | -1,334 |
| 31 Oct 2026, 00:06 | 1,832,004 | -1,355 |
| 30 Oct 2026, 03:07 | 1,833,359 | -1,440 |
| 29 Oct 2026, 01:09 | 1,834,799 | -1,415 |
| 27 Oct 2026, 23:19 | 1,836,214 | -1,449 |
| 26 Oct 2026, 19:49 | 1,837,663 | -1,546 |
| 25 Oct 2026, 18:39 | 1,839,209 | -933 |
| 24 Oct 2026, 20:18 | 1,840,142 | -1,276 |
| 23 Oct 2026, 19:56 | 1,841,418 | -1,488 |
| 22 Oct 2026, 21:20 | 1,842,906 | -1,507 |
| 21 Oct 2026, 20:06 | 1,844,413 | -2,073 |
| 20 Oct 2026, 12:09 | 1,846,486 | -1,586 |
| 19 Oct 2026, 09:56 | 1,848,072 | -1,535 |
| 18 Oct 2026, 08:10 | 1,849,607 | first reading |
1,685 posts held, back to 20 July 2021 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 671 pages 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 6 November 2026 |
|---|---|
| Posts held | 1,685 (20 July 2021 – 6 November 2026) |
| Views total | 2,579,700 |
| Reactions total | 8,891 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Nov 2026, 14:25 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.
Lifetime counters from Telegram’s own channel header, read 7 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
How fast this channel’s own posts pick up views, from re-reading them repeatedly in the hours and days after they were published rather than the single reading most entries on this register get. Coverage is early and only a small minority of channels hold it at all — a gap in this section means the post has not been re-read again yet, not that nothing happened.
Computed from 67 of this channel’s own posts over the last 30 days: across 67 of this channel’s own posts with a clear reading, a typical one reaches half of its last-observed view count within 25 hours of being posted; a typical post has already reached 15.0% of its 24-hour view count within the first hour, and 46.7% within the first six; the median 24-hour reach across those posts is 17,000 views — 0.933% of this channel’s own subscriber count (90th percentile 18,460).
| Post | Readings | Latest reading | Curve | 24h reach | Half of last-observed views by |
|---|---|---|---|---|---|
| /33506 Nov 2026, 04:01 UTC | 6024 minutes – 34 hours old | 18,000 views ~67 reactions | 60 minutes: 2,412 interp. → 3.0 hours: 4,967 interp. → 6.0 hours: 7,360 → 12 hours: 11,100 → 24 hours: 14,400still climbing at last reading | 14,400measured | 8.6 hours |
| /33495 Nov 2026, 19:56 UTC | 6720 minutes – 42 hours old | 21,100 views ~103 reactions | 60 minutes: 1,288 interp. → 3.0 hours: 2,067 interp. → 6.0 hours: 3,588 interp. → 12 hours: 10,200 → 24 hours: 16,500still climbing at last reading | 16,500measured | 13 hours |
| /33485 Nov 2026, 11:33 UTC | 797 minutes – 2 days old | 23,300 views ~102 reactions | 60 minutes: 2,996 interp. → 3.0 hours: 5,840 → 6.0 hours: 8,860 → 12 hours: 11,600 → 24 hours: 17,600 → 2 days: 22,700still climbing at last reading | 17,600measured | 12 hours |
| /33475 Nov 2026, 04:15 UTC | 8515 minutes – 2 days old | 24,400 views ~86 reactions | 60 minutes: 2,093 interp. → 3.0 hours: 4,100 → 6.0 hours: 6,730 → 12 hours: 12,900 → 24 hours: 17,600 → 2 days: 22,600still climbing at last reading | 17,600measured | 11 hours |
| /33464 Nov 2026, 09:02 UTC | 11712 minutes – 3 days old | 27,700 views ~129 reactions | 60 minutes: 2,455 interp. → 3.0 hours: 4,817 interp. → 6.0 hours: 7,330 → 12 hours: 10,600 → 24 hours: 15,300 → 2 days: 24,100still climbing at last reading | 15,300measured | 22 hours |
| /33454 Nov 2026, 04:31 UTC | 11654 minutes – 3 days old | 26,000 views ~139 reactions | 60 minutes: 2,242 interp. → 3.0 hours: 4,480 → 6.0 hours: 7,960 → 12 hours: 11,900 → 24 hours: 15,000 → 2 days: 22,100still climbing at last reading | 15,000measured | 14 hours |
| /33423 Nov 2026, 14:45 UTC | 12735 minutes – 4 days old | 27,600 views ~63 reactions | 60 minutes: 2,975 interp. → 3.0 hours: 5,998 interp. → 6.0 hours: 7,740 → 12 hours: 9,060 → 24 hours: 16,500 → 2 days: 22,000still climbing at last reading | 16,500measured | 18 hours |
| /33413 Nov 2026, 11:15 UTC | 1265 minutes – 4 days old | 26,800 views ~31 reactions | 60 minutes: 2,230 interp. → 3.0 hours: 4,460 → 6.0 hours: 8,950 → 12 hours: 11,600 → 24 hours: 16,700 → 2 days: 21,200still climbing at last reading | 16,700measured | 17 hours |
Curve is every standard checkpoint we hold a reading for (+1h, +3h, +6h, +12h, +24h, +48h, +7d after posting) — measured where a real reading landed close enough to that age, interpolated where it did not but readings on both sides let one be worked out between them. Nothing is ever extrapolated past the last real reading. Latest reading is the newest view and reaction count we hold for the post, side by side, so a gap between how views and reactions moved is visible without following it into the Observations section above. 24h reach is that one checkpoint on its own, labelled the same way. Half of last-observed views is the age at which a post’s view count crossed half of the highest figure we have read for it so far — an upper bound when the very first reading was already past half (we cannot see the actual crossing), and biased low while the post is still climbing, since “half of final” is dividing by a number that has not finished growing yet. Both caveats are printed inline wherever they apply, never silently dropped.
Telegram’s own ‘edited’ marker: 1 of 67 posts held from the last 30 days (1.49%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Maya Hawke has been cast in the live-action ‘MAGIC: THE GATHERING’ movie. Matt Johnson (‘Nirvanna: The Band - The Show - The Movie’) is set to direct. (Source: Deadline)
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Prime Video has officially announced that 'OFF CAMPUS' Season 2 will premiere on April 28, 2027.
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Matt Damon in 2026. 🎬
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A bit of a situation... Huh? 🎥: Resident Evil (2026)
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Has the next 007 been found? According to new reports, Callum Turner is Denis Villeneuve’s pick to become the new James Bond, with Margaret Qualley reportedly set as the film’s leading lady.
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The most underrated Christopher Nolan’s movie. 🎥: Tenet (2020)
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One bad apple spoils the whole barrel. 🎥: Bad Apples (2025)
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Carrie Coon, Lily James, Bella Ramsey & Odessa Young. The film follows a woman who encounters a young spiritual leader & leaves her family to join an all-female commune. In theaters on January 8.
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Ben Wang is in talks to star as Iceman in Marvel's 'X-Men' movie ❄️ (via Deadline)
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Marvel Studios is reportedly working on an ‘ALPHA FLIGHT’ project. • Ryan Reynolds is rumored to be writing it. • It’s unclear if it connects to Deadpool 4 or stands alone. (via: CartierFilms)
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‘PLURIBUS’ Season 2 has begun filming. Coming soon to Apple TV.
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Zach Cregger's ‘RESIDENT EVIL’ has passed $400M worldwide. The film will become one of the top 10 highest grossing horror films OF ALL TIME.
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Showing the 12 most recent of 1,685 posts we hold for @iPapkorn. 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.
@iPapkorn edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
We recorded 8 posts on @iPapkorn as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
Named by 7 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.
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.
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 7 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 34 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
One domain this channel’s own posts have linked to, measured by scanning the post bodies themselves — not the channel’s description, which is the separate Declared links section below when this entry has one. Appearing here is not a claim about who runs the linked site or why the channel linked to it; an advertisement, a news citation and a malicious link all leave the same kind of row.
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 6 November 2026 — this entry's latest reading, not the date you are reading this.
“iPapkorn” (@iPapkorn), 1,822,986 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/iPapkorn.
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.