Telegram RegisterThe public register of Telegram

Channel

Hollywood / English Movies New ๐Ÿ”ฅ

@Hollywood_English_Movies_HD_New

On this record: Topic ยท Observations ยท Also posting the same content ยท Growth ยท Engagement ยท What this channel posts ยท Reactions ยท Posts ยท Citations ยท Handles named that no longer answer ยท Cite this entry

3,953subscribers

-9 since we began measuring on 7 August 2026

Risers and fallers across the register ยท movement among entries of 3,162โ€“10,000.

Register entry

Telegram ID-1001190189049
TypeChannel
Username@Hollywood_English_Movies_HD_New
CreatedBetween 1 March 2018 and 30 June 2021โ€” estimated from Telegramโ€™s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live10 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 10 August 2026
On Telegramt.me/Hollywood_English_Movies_HD_New

Topic

Software piracy โ€” a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channelโ€™s own recent posts on 11 August 2026 and assigned it the closest of 31 fixed categories, at 53% confidence. This is a modelโ€™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 โ€” 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 Telegramโ€™s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts โ€” open both and compare (3 of the pairs behind the counts below)
Posted firstThenOverlapGap
@Funny_Memes_Jokes_Videos_Desi/430615 Aug 2025, 13:09 UTC@Hollywood_English_Movies_HD_New/529 ยท this entry15 Aug 2025, 13:09 UTC1.00under a minute
@Funny_Memes_Jokes_Videos_Desi/430717 Aug 2025, 03:33 UTC@Hollywood_English_Movies_HD_New/530 ยท this entry17 Aug 2025, 03:33 UTC1.00under a minute
@Funny_Memes_Jokes_Videos_Desi/431024 Aug 2025, 12:08 UTC@Hollywood_English_Movies_HD_New/534 ยท this entry24 Aug 2025, 12:08 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@Funny_Memes_Jokes_Videos_Desi5 (5/5 hand-verifiable sample passed)1.00under a minutethis entry (4โ€“1)

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 โ€” 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. None of the 1 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

โ€œPublished firstโ€ means first in this corpus. We hold 11 comparable posts for this entry, running 6 December 2024 to 9 January 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 detectorโ€™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 @Funny_Memes_Jokes_Videos_Desi. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, 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 โ€” we do not keep publishing a claim we have withdrawn. Dispute an observation.

Also posting the same content

This channelโ€™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 โ€” 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 โ€” 60%, no better than a coin flip โ€” because it depends on how deep our own crawl happened to reach into each channelโ€™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 โ€” a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story โ€” and this measurement cannot tell those apart. How this is measured.

Growth

3,9533,9623,957.57 August 2026 โ€” 3,962 subscribers7 August 2026 โ€” 3,962 subscribers7 August 2026 โ€” 3,961 subscribers10 August 2026 โ€” 3,953 subscribers7 August 202610 August 2026
4 measurements spanning 4 days, net -9. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between โ€” snapshots are recorded only when a count changes, so gaps mean โ€œno change observedโ€, never โ€œinterpolatedโ€. The vertical axis spans 3,952โ€“3,963 and does not start at zero.
Measurement log โ€” every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 21:213,953-8
7 Aug 2026, 15:503,961-1
7 Aug 2026, 06:003,962no change
7 Aug 2026, 05:483,962first reading

Engagement

18 posts held, back to 20 December 2022 โ€” the reader has reached the start of this channelโ€™s public history, so this is the full archive Telegram still exposes. Read across 4 pagesof Telegramโ€™s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute โ€” we hold 18 posts for this entry, the most recent from 9 January 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
44s
Average length
15s

Measured directly from 3 videos with a duration reading, out of the posts we hold for this channel โ€” not this channelโ€™s 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 Telegramโ€™s own rounded chrome, so it carries no โ‰ˆ mark.

Reaction mix

92 reactions across 14 posts, in 7 distinct kinds. The most used accounts for 52.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
๐Ÿ‘4852.2%
โค3032.6%
๐Ÿ‘66.52%
๐Ÿ”ฅ44.35%
๐Ÿ‘Ž22.17%
๐Ÿ˜11.09%
๐Ÿฅฐ11.09%

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 โ€” ๐Ÿ™ is thanks in one channel and mourning in another โ€” 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 โ€” 4.34K, 1.2M โ€” 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 14 of the 18 sampled posts in this sample. Summed by Telegramโ€™s own count on each post โ€” not by adding up the per-emoji breakdown above โ€” those same posts carry 92reactions in total: the kind of figure the paragraph above means by โ€œa reaction total printed elsewhere on the pageโ€.

Measured over the 18 most recent posts we hold, published 20 December 2022 to 9 January 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

9 Jan 2026, 16:41 UTCโ‰ˆ1,030 views1 reactionsread 8 August 2026
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๐Ÿ”ฅ1

2 Jan 2026, 15:44 UTCโ‰ˆ44,800 views1 reactionsread 8 August 2026
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โค1

14 Dec 2025, 05:50 UTCโ‰ˆ1,430 viewsread 8 August 2026

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24 Aug 2025, 12:08 UTCโ‰ˆ2,870 views5 reactionsread 8 August 2026
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โค4๐Ÿ‘1

21 Aug 2025, 14:02 UTCโ‰ˆ59,200 views1 reactionsread 8 August 2026
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โค1

17 Aug 2025, 03:38 UTCโ‰ˆ1,350 views2 reactionsread 8 August 2026
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โค1๐Ÿ‘1

17 Aug 2025, 03:33 UTCโ‰ˆ1,740 views3 reactionsread 8 August 2026
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โค3

15 Aug 2025, 13:09 UTC875 views3 reactionsread 8 August 2026
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14 Aug 2025, 15:16 UTCโ‰ˆ1,810 viewsread 8 August 2026

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5 Jul 2025, 17:36 UTCโ‰ˆ2,440 views1 reactionsread 8 August 2026
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โค1

11 Dec 2024, 03:51 UTCโ‰ˆ3,520 views1 reactionsread 8 August 2026
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โค1

10 Dec 2024, 03:58 UTCโ‰ˆ2,980 viewsread 8 August 2026

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Showing the 12 most recent of 18 posts we hold for @Hollywood_English_Movies_HD_New. 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 โ‰ˆ was rounded by Telegram before we ever saw it โ€” t.me prints views in full below 1,000 and to three significant figures above, so โ‰ˆ1,200,000 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

Citation-graph rank โ€” 386,866 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below โ€” republished posts weigh more than named mentions โ€” 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 channelโ€™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 โ€” 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.

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 10 August 2026 โ€” this entry's latest reading, not the date you are reading this.

โ€œHollywood / English Movies New ๐Ÿ”ฅโ€ (@Hollywood_English_Movies_HD_New), 3,953 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/Hollywood_English_Movies_HD_New.

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 ยท 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.