البته که فکرنکنم نهایی بشه چون همین الانش همه مخصوصاً کرهایها نا راضین چه به خاطر بیرون رفتن یونا و چهمین، چه به خاطر اسکندال اونوو و جریاناتی که داشت اما خیلی خبر عجیبیه شما دوست دارید فصل دوم سریالو با کرکترها و بازیگرهای جدید ببینین؟
👎124🤯5👍3

Channel
@ourdramalist
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
5,399subscribers
+24 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001175790411 |
|---|---|
| Type | Channel |
| Username | @ourdramalist |
| Description | ㅤㅤ✿֔ᮬ᳘ ׅ Wrap yourself in the warmth of dramas that feel like home. ✉️ @dramalistbot — @dramalistfolder |
| Created | 29 August 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 7 August 2026 |
| Last confirmed live | 11 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 11 August 2026 |
| On Telegram | t.me/ourdramalist |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Aug 2026, 10:47 | 5,399 | +23 |
| 8 Aug 2026, 08:14 | 5,376 | +1 |
| 7 Aug 2026, 20:00 | 5,375 | no change |
| 7 Aug 2026, 19:57 | 5,375 | first reading |
42 posts held, back to 31 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 6 pagesof 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. It is computed over the 39 of 42 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 11 August 2026 |
|---|---|
| Posts held | 42 (31 July 2026 – 11 August 2026) |
| Views total | 35,138 |
| Reactions total | 2,311 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 04:20 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 12 August 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.
Measured directly from 10 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.
2,311 reactions across 39 posts, in 15 distinct kinds. The most used accounts for 33.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 💘 | 771 | 33.4% | |
| 👍 | 305 | 13.2% | |
| 😭 | 259 | 11.2% | |
| 💔 | 193 | 8.35% | |
| 🔥 | 169 | 7.31% | |
| 😨 | 151 | 6.53% | |
| 👎 | 128 | 5.54% | |
| 🍓 | 108 | 4.67% | |
| 🤯 | 103 | 4.46% | |
| ❤🔥 | 83 | 3.59% | |
| 💋 | 27 | 1.17% | |
| 🦄 | 7 | 0.303% | |
| 👌 | 3 | 0.13% | |
| 😡 | 3 | 0.13% | |
| 🕊 | 1 | 0.043% |
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 39 of the 42 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 2,311reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 42 most recent posts we hold, published 31 July 2026 to 11 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.
البته که فکرنکنم نهایی بشه چون همین الانش همه مخصوصاً کرهایها نا راضین چه به خاطر بیرون رفتن یونا و چهمین، چه به خاطر اسکندال اونوو و جریاناتی که داشت اما خیلی خبر عجیبیه شما دوست دارید فصل دوم سریالو با کرکترها و بازیگرهای جدید ببینین؟
👎124🤯5👍3
یک خبر عجیب جدیدی اومده که فصل دوم سریال 'bon appetite your majesty' قراره با کرکترها و داستان جدید باشه و فعلاً یکی از نقشها رو به چا اونوو پیشنهاد دادن و اونوو درحال بررسیه. از طرفی میگن یونا و چهمین از پروژه بیرون اومدن و دیگه قرار نیست تو فصل دوم حضور داشته باشن.
😨88🤯11👍3
به نظرم هردوی بک آجین و نیکی سرنوشتشون خیلی شبیه همدیگهست، هردو زندگیشون بخاطر مردهایی که توی سرنوشتشون بود خراب شد و اتفاقاً آخر سریال و فیلم هم، آجین و نیکی بودن که سرزنش و قضاوت شدن و همه ازشون 'میترسیدن'
😭48👍8👎4💘3🍓2
🧩🧩🧩😀😀😀🤩🤩🤩 🌟🧩🧩 😀the obsession music with 😀🧩🧩baek ahjin is a pure masterpiece
❤🔥47💋5🔥3🍓2💘2
واقعا مردها اعتماد به نفسشون فضاییه
😨59👍11👌3🤯1
هو یی تیان چند سال پیش وقتی با یه خانوم دیگه به هتل میره، ویسش پخش میشه که به شن یوئه کسیی که باعث معروف شدن آقا شد برگشت گفت قیافهش خوشگل نیست و پشت سرش غیبت کرد به جای اینکه ممنون باشه که بخاطر شن یوئه و سریال a love so beautiful کریرش از نابودی نجات پیدا کرد اما اینطوری جوابشو داد. بعدها اومدن گفتن نمیدونم ویس الکی بود و فلان و قضیه رو ماست مالی کردن.
🤯63😡1
جا داره درامای "the hope" عزیز دلم رو یاد آوری کنم که به نظرم بهترین درامای مدرسهای با محوریت درس خوندن بودن که نه تنها به آدم انرژی میداد بلکه یه عالمه نکته جالب برای کاهش استرس و افزایش تمرکز یاد میداد 💘💞💓
👍38💘10
«میبینی؟ امتحان هم همین شکلیه. چیزی که باعث میشه حس خوب داشته باشی فقط نتیجه امتحان نیست بلکه اون تلاشیه که براش میکنی! اون عرق هایی که ریختی و چیزهایی که هنوز وقتی به یادشون میاری تورو هیجان زده میکنن، فارغ از اینکه تو چه شرایط سختی هستی.»
🍓40💘3😭1
Sticker, posted without a caption
فیلم خیلی خوشگلی بود و فکرمیکنم یکی از مهمترین پیامهاش این بود که بچهها تو سال کنکور فقط نیاز دارن که حمایت بشن و فقط حتی اگه یک نفر بهشون باور داشته باشه، انرژی میگیرن و مثل سایاکا میتونن تلاش کنن و همهچیز رو تغییر بدن. و پیام بعدی که میخواست بگه اینه که فرقی نداره ظاهرت چی میگه، فرقی نداره حتی اگه همه با یه عالمه دلیل میگن نمیتونی، تا وقتی که دلت بخواد، حداقل میتونی از لحاظ درسی تلاش کنی و شاید رتبه اول نشی ام…
💘43🍓4😭1
😀😀😀😀😀😀😀😀😀🤩 😀😀🤩😀😀😀😀😀😀 😀😀 “Where there is a will, 😀😀😀 there is a way!”
💘33
🤩🤩🤩 «هرجا ارادهای وجود داشته 🤩🤩🤩 باشه، راهی هم وجود داره» داستان فیلم راجعبه سایاکا دختریه که توی خانواده مردسالار بزرگ میشه و پدر خانواده تمام پول و توجهش رو خرج پسر خانواده میکنه، از طرفی مادر خانواده مجبوره خودش خرج دختراشو بده و مراقبشون باشه و خودش هم توی بچگی قربانی سیستم مردسالار خانوادههای ژاپنی بوده برای همین وقتی بچهدار میشه تصمیم میگیره این چرخه بی توجهی و اذیت دخترها رو قطع کنه و از همون بچگی خیلی…
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Showing the 12 most recent of 42 posts we hold for @ourdramalist. 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 — 237,214 of 1,160,990entries 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.
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.
Named by 2 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.
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 11 August 2026 — this entry's latest reading, not the date you are reading this.
“dramalist ” (@ourdramalist), 5,399 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/ourdramalist.
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.