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 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.
Growth
7 measurements spanning 5 days, net -426. 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 314,984–315,538 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 08:23
315,048
-107
11 Aug 2026, 11:36
315,155
-51
10 Aug 2026, 09:33
315,206
-86
9 Aug 2026, 11:32
315,292
-57
8 Aug 2026, 09:38
315,349
-125
7 Aug 2026, 12:30
315,474
no change
7 Aug 2026, 12:18
315,474
first reading
Engagement
31 posts held, back to 1 August 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 16 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
2.45%
avg views ÷ 315,048 subscribers
Avg views / post
7,730
31 posts measured
Reaction rate
0.197%
reactions ÷ views · ER floor
Posts in window
31
of 31 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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 12 August 2026
Posts held
31 (1 August 2026 – 12 August 2026)
Views total
239,570
Reactions total
473
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 17:51 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.
What this channel posts
Photos
402
Videos
17
Links
10
Lifetime counters from Telegram’s own channel header, read 12 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
1m 29s
Average length
45s
Measured directly from 2 videos with a duration reading, out of the posts we hold for this channel — not this channel’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 Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
473 reactions across 31 posts, in 9 distinct kinds. The most used accounts for 61.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤🔥
291
61.5%
👏
68
14.4%
👍
36
7.61%
🏆
33
6.98%
🤣
22
4.65%
😁
10
2.11%
😢
7
1.48%
🎉
4
0.846%
🤩
2
0.423%
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 31 of the 31 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 473reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 31 most recent posts we hold, published 1 August 2026 to 12 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.
Tom Holland on the alternate reality where Timothée Chalamet was cast as Spider-Man:
“I think he would make a great Spider-Man… I think he would be a lot more brooding version of the character and maybe I got Dune!
And Dune would be about a blundering idiot running through the sand!”
‘HOUSE OF THE DRAGON’ S3 has ended 🐉
The fourth and final season will release in 2028
The next ‘GAME OF THRONES’ project set to release is ‘A KNIGHT OF THE SEVEN KINGDOMS’ S2 ⚔️
Airing in the first half of 2027
‘SPIDER-MAN: BRAND NEW DAY’ opened to a 98% audience score on Rotten Tomatoes.
• It's now the highest-rated MCU movie ever made.
• It's also the highest-rated Spider-Man movie ever released.
The last 3 MCU films are all certified fresh on Rotten Tomatoes.
• ‘THUNDERBOLTS*’ - 88%
• ‘THE FANTASTIC FOUR: FIRST STEPS’ - 86%
• ‘SPIDER-MAN: BRAND NEW DAY’ - 91%
Gillian Anderson says Ryan Coogler's 'X-Files' pilot script is 'brilliant'
“I cannot think of a better person to take the helm"
"I was impressed by how different and yet how quintessentially like an X-File it was"
She won't comment on if she will appear in the series
"Odyssey" continues to perform well at the box office.
In 12 days, the film's worldwide gross has reached $727 million. This is already the fourth highest-grossing film of 2026, and it hasn't even been released in Chinese theaters yet.
The Russo Brothers when asked if Scarlet Witch and Captain Marvel will appear in ‘AVENGERS: DOOMSDAY’
“There are always more surprises.”
👏9
Signed War
Showing the 12 most recent of 31 posts we hold for @Netflix_Xseriesbot. 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.
Citation-graph rank
Citation-graph rank — 696,799 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — 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 channel’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 — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Mentions
Named by 1 registered channel — 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.
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 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“TV Series Bot 📺” (@Netflix_Xseriesbot), 315,048 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/Netflix_Xseriesbot.
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.