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Channel

پخش سریال ایرانی

@sriranlo

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry

445,965subscribers

+21,782 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 316,228–1,000,000.

Register entry

Telegram ID-1002828727609
TypeChannel
Username@sriranlo
Description🌸 سلام دوستان ❣️ 🌹خوش اومدید به دنیای سریال ایرانی 🌐 🤖گذارش خرابی قفل ها : @Helpdownbot 🤖 ارتباط با ما : @filmeadminbot 📈درخواست تبلیغات :@Ad_Levi
CreatedBetween 1 June 2025 and 30 September 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live10 November 2026
Measurements held62
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/sriranlo

Topic

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 the other topics.

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 in near-verbatim form on 3 other registered channels. This entry also sits inside a group of 4 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@donyai_filmee/317199 Aug 2026, 23:03 UTC@sriranlo/26101 · this entry9 Aug 2026, 23:04 UTC1.00under a minute
@sriranlo/26404 · this entry16 Aug 2026, 14:32 UTC@donyai_filmee/3201116 Aug 2026, 14:32 UTC1.00under a minute
@sriranlo/26712 · this entry22 Aug 2026, 22:17 UTC@donyai_filmee/3230622 Aug 2026, 22:17 UTC1.00under a minute
@sriranlo/26775 · this entry26 Aug 2026, 10:50 UTC@donyai_filmee/3236326 Aug 2026, 10:50 UTC1.00under a minute
@sriranlo/27037 · this entry2 Sept 2026, 05:10 UTC@donyai_filmee/325992 Sept 2026, 05:11 UTC1.00under a minute
@sriranlo/28599 · this entry11 Oct 2026, 16:25 UTC@donyai_filmee/3398911 Oct 2026, 16:25 UTC1.00under a minute
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@donyai_filmee29 (8/8 hand-verifiable sample passed)1.00under a minute@donyai_filmee (15–14)
@donyai_seryall11 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (6–5)
@doniya_filmc6 (6/6 hand-verifiable sample passed)1.00under a minuteeven

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 — 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. 22 of the 23 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 387 comparable posts for this entry, running 20 July 2026 to 10 November 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 detector’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).

Of the group of 4 channels, the one whose matching posts we hold earliest is @donyai_filmee. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_mutual, last confirmed 11 November 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 — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Channels linked by matching posts

This channel is in a group of 4 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

402,042445,965424,003.57 August 202610 November 2026
62 measurements spanning 95 days, net +21,782. 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 395,454–452,553 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 62
Measured (UTC)SubscribersChange
10 Nov 2026, 12:55445,965+532
8 Nov 2026, 23:41445,433+1,334
7 Nov 2026, 12:50444,099+634
6 Nov 2026, 15:18443,465+2,327
5 Nov 2026, 16:09441,138+384
4 Nov 2026, 13:08440,754+45
3 Nov 2026, 13:29440,709-763
2 Nov 2026, 11:16441,472+161
1 Nov 2026, 12:51441,311+64
31 Oct 2026, 10:31441,247+4,935
30 Oct 2026, 07:17436,312+374
29 Oct 2026, 10:37435,938-283
28 Oct 2026, 08:20436,221-852
27 Oct 2026, 10:06437,073-881
26 Oct 2026, 11:59437,954+39
25 Oct 2026, 10:25437,915+846
24 Oct 2026, 08:59437,069+5,839
23 Oct 2026, 08:38431,230-394
22 Oct 2026, 09:56431,624+66
20 Oct 2026, 23:49431,558first reading

Engagement

547 posts held, back to 20 July 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 218 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.08%
avg views ÷ 445,965 subscribers
Avg views / post
18,200
184 posts measured
Reaction rate
6.94%
reactions ÷ views · ER floor
Posts in window
185
of 547 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. It is computed over the 180 of 184 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 10 November 2026
Posts held547 (20 July 2026 – 10 November 2026)
Views total3,347,192
Reactions total232,421
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 03:27 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
189
Videos
428
Links
881

Lifetime counters from Telegram’s own channel header, read 11 November 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
2h 12m
Average length
41s

Measured directly from 192 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

727,018 reactions across 530 posts, in 14 distinct kinds. The most used accounts for 40.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤296,12740.7%
👍107,87414.8%
🔥55,2917.61%
❤‍🔥50,2376.91%
😁43,0745.92%
🙏36,7275.05%
💔31,7754.37%
🍓27,3693.76%
🥰18,9472.61%
💯18,6402.56%
👌12,9861.79%
⚡12,9641.78%
🫡12,1581.67%
😍2,8490.392%

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 530 of the 547 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 727,018 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 547 most recent posts we hold, published 20 July 2026 to 10 November 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

Telegram’s own ‘edited’ marker: 6 of 185 posts held from the last 30 days (3.24%) 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).

10 Nov 2026, 20:16 UTC≈3,530 views204 reactionsread 11 November 2026
Video

❤️ این آژان خیلی پَست فِطرته ⁣⁣⁣⁣🌟قسمت 05 سریال « 😍 » ⏪دریافت قسمت 05 (کلیک کنید)⏩ ⏪دریافت کامل سریال⏩ ⬅️ لیست تمام سریال ها ➡️ ✉️@filmiico

❤72👍55🔥35😍35🍓4🙏3

10 Nov 2026, 20:02 UTC≈3,750 views166 reactionsread 11 November 2026
Video

ده سال کینه، حالا در لباس قانون! 🔥 ⁣⁣⁣⁣🌟قسمت 03 سریال « استخوان‌سوز » ⏪دریافت قسمت 03 (کلیک کنید)⏩ ⏪دریافت کامل سریال⏩ ⬅️ لیست تمام سریال ها ➡️ ✉️@filmiico

❤71👍31💯27🙏26💔9🍓2

10 Nov 2026, 19:58 UTC≈3,540 views146 reactionsread 11 November 2026
Video

این بار آخره با زبون خوش باهات حرف می‌زنم ⁣⁣⁣⁣⁣🔥 سریال « ❤️❤️❤️ » ⏪دریافت کامل برنامه⏩ ⬅️ لیست تمام سریال ها ➡️ ✉️@filmiico

❤67👍37💯33🍓9

10 Nov 2026, 19:52 UTC≈3,650 views112 reactionsread 11 November 2026
Video

🎞 دژبان عقده ای ....!‌ ⁣⁣⁣⁣🌟قسمت 03 سریال « استخوان‌سوز » ⏪دریافت قسمت 03 (کلیک کنید)⏩ ⏪دریافت کامل سریال⏩ ⬅️ لیست تمام سریال ها ➡️ ✉️@filmiico

❤71💯32🍓7👍2

10 Nov 2026, 17:40 UTC≈6,010 views309 reactionsread 11 November 2026
Video

مردگی؛ همه‌ی مرده‌ها زیر خاک نیستند! صابر ابر در #مردگی 🔥سریال «مردگی» به‌زودی... ✉️@filmiico

❤156🔥54🫡51👍33🥰10💯3🍓2

10 Nov 2026, 17:30 UTC≈6,050 views250 reactionsread 11 November 2026
Video

⁨ ⁨ امید روحانی در نقش " محمود " 🔥 سریال کمدی میوه مست ✉️@filmiico

❤121🫡51🔥49👍26💯3

9 Nov 2026, 18:03 UTC≈15,300 views1,193 reactionsread 11 November 2026
Video

❤️‍🔥 امیرحسین رستمی در نقش " طالبی " 👈 سریال کمدی "میمون مست " 📅 انتشار:‌ جمعه ۲۲ آبان ماه ✉️@filmiico

❤492🔥148🙏146❤‍🔥141💔81👍78🍓56⚡50

9 Nov 2026, 17:32 UTC≈14,400 views980 reactionsread 11 November 2026
Video

مصلحت، حکمِ امیرزاده‌ست ⁣⁣⁣⁣⁣🔥 سریال « ❤️❤️❤️ » ⏪دریافت کامل برنامه⏩ ⬅️ لیست تمام سریال ها ➡️ ✉️@filmiico

❤415👍189❤‍🔥169💯136💔51🍓11🔥9

9 Nov 2026, 17:10 UTC≈13,200 views793 reactionsread 11 November 2026
Video

❤️‍🔥 هادی کاظمی در نقش " فرشاد " 🔥 سریال کمدی "میمون مست" ستارگان: سیامک انصاری، هادی کاظمی، سمانه پاکدل، امیرحسین رستمی، غلامرضا نیکخواه، امید روحانی، یاسر جعفری، عادل تبریزی، مرتضی علی‌آبادی، راضیه دهقان و مجید قناد از بازیگران این مجموعه هستند 📅 انتشار:‌ جمعه ۲۲ آبان ماه ✉️@filmiico

❤332🔥139👍135🙏113💔36❤‍🔥16🫡16🍓6

9 Nov 2026, 16:59 UTC≈12,100 views578 reactionsread 11 November 2026

⁣⁣⁣⁣🌟قسمت 03 سریال « استخوان‌سوز » منتشر شد ⏪دریافت قسمت 03 (کلیک کنید)⏩ ⏪دریافت کامل سریال⏩ ⬅️ لیست تمام سریال ها ➡️ ✉️@filmiico

❤233👍100🙏96🔥86⚡36💔16🥰6🍓5

9 Nov 2026, 16:38 UTC≈11,400 views412 reactionsread 11 November 2026
Photo

قسمت ۶ «تاکسی»، چهارشنبه ۲۰ آبان پخش خواهد شد. ✉️@filmiico

❤203👍98🔥97🍓14

8 Nov 2026, 21:01 UTC≈17,800 views977 reactionsread 11 November 2026
Photo

🎥 دانلود فیلم « کمپ پر ماجرا » 🍀 نسخه اکران آنلاین 💎 ژانر: اجتماعی | درام 📆 سال تولید: 1404 📆 سال انتشار: 1405 💎 بازیگران: مهدی امینی‌خواه - سیما مطلبی - وحید شیخ زاده - فرهاد بشارتی - سیامک اشعریون - رضا عظیمی - زهرا رضایی نیارکی - محمد ادریس فراهانی - ثنا مجازی - علی مجازی 👱‍♀️ کارگردان: یاسر عرفانی جم 📖 خلاصه داستان: داستان گروهی از بچه‌های دوازده‌ساله و بی‌پرواست که ماموریتی هیجان‌انگیز را آغاز می‌کنند تا …

❤382👍154😁149🔥146❤‍🔥47💔41⚡29👌29

Showing the 12 most recent of 547 posts we hold for @sriranlo. 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.

Posts edited after publishing

@sriranlo edited 11 posts 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.

First edit seen
8 August 2026
Most recent edit
10 October 2026

Posts recorded as deleted after publishing

We recorded 40 posts on @sriranlo 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.

First seen missing
8 August 2026
Most recent seen missing
11 November 2026
Median time before seen missing
23 hours
Seen missing in the last 30 days
30

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

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.

Mentions

Named by 5 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.

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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“پخش سریال ایرانی” (@sriranlo), 445,965 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/sriranlo.

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.