Avaraachan and his family are bringing all the drama home 🤭🏠 Watch Avaraachan & Sons on Netflix, out 30 October in Malayalam, Hindi, Tamil, Telugu and Kannada. @OTT_UPDATES0
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Channel
@OTT_UPDATES0
On this record: Topic · Observations · Growth · Engagement · Reactions · Posts · Posts edited after publishing · Cite this entry
34,375subscribers
+10,194 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1002363638325 |
|---|---|
| Type | Channel |
| Username | @OTT_UPDATES0 |
| Created | 18 November 2024 — measured — dated from the channel’s first post |
| First recorded | 7 August 2026 |
| Last confirmed live | 30 October 2026 |
| Measurements held | 54 |
| Confirmed unchanged | 1 time, most recently 30 October 2026 |
| On Telegram | t.me/OTT_UPDATES0 |
Film & TV — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 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.
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.
23,400 average views per post against 34,301 subscribers — an engagement rate of 68.1%. Across the 3,510 registered channels in the same cohort — 31,625–99,999 subscribers, posting mainly in English — the middle half sit between 1.75% and 10.9%, with a median of 5.03%.
| Window | 30 days (30 September 2026 – 30 October 2026) |
|---|---|
| Posts measured | 12 of 12 published in the window (0 exact, 12 rounded by Telegram) |
| Views totalled | 280,300 |
| Mature posts only | 68.1% over 12 posts read at least 24h after publication |
| Subscribers | 34,301 measured 29 October 2026 |
| Cohort | b31623:eng · 3,510 channels · p10 0.454% · p25 1.75% · p50 5.03% · p75 10.9% · p90 20.2% |
| Position in cohort | 99.687th percentile · 13.5× the cohort median |
| Uncertainty | ±0.033% of the figure, from Telegram’s rounding |
| Post language | English · 100.0% of the window’s posts |
When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal. A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the key err_high, last confirmed 30 October 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 30 Oct 2026, 18:28 | 34,375 | +74 |
| 29 Oct 2026, 20:01 | 34,301 | +35 |
| 28 Oct 2026, 19:59 | 34,266 | +88 |
| 27 Oct 2026, 16:57 | 34,178 | +52 |
| 26 Oct 2026, 14:39 | 34,126 | +55 |
| 25 Oct 2026, 15:20 | 34,071 | +97 |
| 24 Oct 2026, 14:26 | 33,974 | +125 |
| 23 Oct 2026, 12:00 | 33,849 | +137 |
| 22 Oct 2026, 14:19 | 33,712 | +105 |
| 21 Oct 2026, 08:27 | 33,607 | +134 |
| 20 Oct 2026, 03:07 | 33,473 | +133 |
| 18 Oct 2026, 23:35 | 33,340 | +222 |
| 17 Oct 2026, 20:07 | 33,118 | +102 |
| 16 Oct 2026, 18:18 | 33,016 | +266 |
| 15 Oct 2026, 15:08 | 32,750 | +212 |
| 14 Oct 2026, 16:26 | 32,538 | +236 |
| 13 Oct 2026, 04:29 | 32,302 | +1,772 |
| 8 Oct 2026, 19:59 | 30,530 | +4,636 |
| 4 Oct 2026, 07:20 | 25,894 | +1,960 |
| 25 Sept 2026, 17:57 | 23,934 | first reading |
17 posts held, back to 18 November 2024 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 128 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 29 October 2026 |
|---|---|
| Posts held | 17 (18 November 2024 – 29 October 2026) |
| Views total | 280,300 |
| Reactions total | 1,647 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 30 Oct 2026, 17:24 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.
3,172 reactions across 16 posts, in 31 distinct kinds. The most used accounts for 44.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1,415 | 44.6% | |
| 👍 | 570 | 18.0% | |
| 💩 | 330 | 10.4% | |
| 🔥 | 243 | 7.66% | |
| 🎉 | 78 | 2.46% | |
| 🆒 | 64 | 2.02% | |
| 💯 | 58 | 1.83% | |
| ❤🔥 | 57 | 1.80% | |
| 🤗 | 43 | 1.36% | |
| 🕊 | 42 | 1.32% | |
| 🍾 | 38 | 1.20% | |
| 👌 | 35 | 1.10% | |
| 💘 | 34 | 1.07% | |
| 😴 | 29 | 0.914% | |
| 😭 | 27 | 0.851% | |
| 🦄 | 21 | 0.662% | |
| 🤩 | 16 | 0.504% | |
| 🤬 | 12 | 0.378% | |
| 🤮 | 11 | 0.347% | |
| 🍌 | 8 | 0.252% | |
| 11 further kinds | 41 | 1.29% |
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 16 of the 17 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 3,172 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 18 November 2024 to 29 October 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.
Avaraachan and his family are bringing all the drama home 🤭🏠 Watch Avaraachan & Sons on Netflix, out 30 October in Malayalam, Hindi, Tamil, Telugu and Kannada. @OTT_UPDATES0
❤62🔥13👍11🎉10🍾6💘3🤩3🕊2
Get ready for a Vibe-full Diwali ❤️🔥🤙 #MeesayaMurukku2 streaming from 06th Nov On Sony LIV @OTT_UPDATES0
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Watch Baththa on Netflix, out 29 October in Tamil, Hindi, Telugu , Kannada and Malayalam. @OTT_UPDATES0
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Watch Dhoomakethu on Netflix, out 23 October in Malayalam, Hindi, Tamil, Telugu and Kannada. @OTT_UPDATES0
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Watch The Paradise on Netflix, out 22 October in Telugu, Hindi, Tamil, Kannada and Malayalam @OTT_UPDATES0
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Watch Aasha on ZEE5, October 16th. In Malayalam, Tamil, Hindi, Telugu, Kannada. @OTT_UPDATES0
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Watch Enna Vilai on Netflix, out 15 October in Tamil, Hindi, Telugu , Kannada and Malayalam @OTT_UPDATES0
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It's A Medical Miracle Streaming from October 15 on ManoramaMax in Malayalam, Tamil, Telugu, Kannada 🍿!! @OTT_UPDATES0
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Fall 2 Deadpoint is coming to DIGITAL as PVOD on October 6th. Apple TV+ | Prime Video (US). @OTT_UPDATES0
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Watch Mandaadi on Netflix, out 8 October in Tamil, Hindi, Telugu , Kannada and Malayalam. @OTT_UPDATES0
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Revenge. Heritage. Power. Gold. 🔥 Enter the world of #Khalifa, streaming from October 9 on Prime Video. @OTT_UPDATES0
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#PradhamaDrishtyaKuttakkar, critically acclaimed super hit Malayalam police story on Netflix OCT 9. @OTT_UPDATES0
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Showing the 12 most recent of 17 posts we hold for @OTT_UPDATES0. 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.
@OTT_UPDATES0 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.
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 30 October 2026 — this entry's latest reading, not the date you are reading this.
“OTT Updates” (@OTT_UPDATES0), 34,375 subscribers as measured 30 October 2026. Telegram Register, tgregister.com/channel/OTT_UPDATES0.
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.