صدای این آقاهه که میگه ادااااامههههه بدههههه واقعا داره مجبورم میکنه ادااااامه بدددددمممممم.
❤57🔥9

Channel
@ihassiba
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry
7,835subscribers
+53 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1002209378568 |
|---|---|
| Type | Channel |
| Username | @ihassiba |
| Created | Between 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 14 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/ihassiba |
Memes & entertainment — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 96% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Sept 2026, 09:56 | 7,835 | +12 |
| 13 Sept 2026, 02:39 | 7,823 | -1 |
| 8 Sept 2026, 18:37 | 7,824 | +40 |
| 3 Sept 2026, 08:42 | 7,784 | -12 |
| 31 Aug 2026, 03:55 | 7,796 | -13 |
| 28 Aug 2026, 13:28 | 7,809 | -16 |
| 25 Aug 2026, 22:28 | 7,825 | -2 |
| 22 Aug 2026, 16:34 | 7,827 | -17 |
| 19 Aug 2026, 16:53 | 7,844 | -12 |
| 16 Aug 2026, 16:57 | 7,856 | -26 |
| 12 Aug 2026, 21:57 | 7,882 | -12 |
| 10 Aug 2026, 06:30 | 7,894 | +113 |
| 6 Aug 2026, 22:02 | 7,781 | -1 |
| 6 Aug 2026, 18:02 | 7,782 | first reading |
121 posts held, back to 30 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 19 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 27 August 2026 |
|---|---|
| Posts held | 121 (30 July 2026 – 27 August 2026) |
| Views total | 24,730 |
| Reactions total | 2,541 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 28 Aug 2026, 20:26 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.
Measured directly from 3 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.
13,400 reactions across 121 posts, in 5 distinct kinds. The most used accounts for 65.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 8,790 | 65.6% | |
| 🔥 | 2,263 | 16.9% | |
| 😭 | 1,054 | 7.87% | |
| 💔 | 995 | 7.43% | |
| 🕊 | 298 | 2.22% |
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 121 of the 121 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 13,400 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 121 most recent posts we hold, published 30 July 2026 to 27 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.
صدای این آقاهه که میگه ادااااامههههه بدههههه واقعا داره مجبورم میکنه ادااااامه بدددددمممممم.
❤57🔥9
یه لیست درست کنین از آدمای معروف و نیمه معروفی که قد خورجین خر ملانصرالدین هم چیزی بارشون نیست و به خودتون بگین اگه این کودن هم پاچهخوار داره و تونست معروف بشه پس تو هم میتونی یه چیزی بشی بلاخره. امیدت رو از دست نده🤍
❤58🔥4
جدا گاهی اوقات به خودم میگم یعنی واقعا مردم نمیتونن شو اجرا کردن و اینکه طرف با خودش گفته واااااو دوربییییییییین آخجون حالا ایندفعه چی رو با چه کلمات مزخرفی بگم که بیشتر دیده بشم و چهارتا اسکلتر از خودم برام هورا بکشن و بتونم عقدههای کودکی و نادیده گرفته شدنهای نوجوانی و ریجکت شدنهای جوانیم رو باهاش ارضا کنم؟ یعنی جدا؟ سریسلی؟ واقعا از مدل حرف زدن آدمها نمیشه چنین چیزی رو تشخیص داد؟ خیلی عجیبه برام.
❤59🔥4
علی ضیا به عنوان یک جامعهشناسی خوانده نمیاد یه مصاحبه هم با من بکنه؟ حرفای وایرال شدنی بیشتری دارما. میتونم کمکم سلبریتی آکادمیک بشم. چرا که نه
😭56❤10
قرار بود پست انگیزشی باشه ولی خرابش کردی ممبرجون.
😭72🕊3💔1
اگه اون تونست رئیسجمهور شه تو هم میتونی یه چیزی بشی بلاخره. امیدت رو از دست نده.
🕊64❤14😭3
سلام ممنونم از محبت و توجهت نمیدونم چرا گفتم همونطور که خودتون میدونید. آخه واقعا الان انقدر همه از چپ و راست حرف میزنن تصورم این بود که حتما همه میدونن چی به چیه دیگه😁 ولی خب متوجه شدم خیلیا که به بقیه میگن چپول اصلا چیزی نمیدونن. یا اینا که به بقیه میگن فاشیست درباره فاشیسم چیزی نمیدونن. من رشتهام جامعهشناسی بود. درسام درباره همین چیزا بود دیگه. طبیعیه یهههه چیزایی بدونم. و البته وقتی کتاب میخونم یا فیلم…
❤52
سلاممم داشتم متنات راجع به چپ و اینا رو میخوندم اولا ممنون واقعا از مطالب خوبت و اینکه انقدر به شیوه قشنگی برامون میگی✨ بعد اینکه ممکنه یه سری منبع واسه یاد گرفتن اینجور چیزا از پایه، پیشنهاد بدی؟ چون اونجا که گفتی علاوه بر چیزایی که خودتون میدونید من اینحوری بودم که، من هیچی نمیدونم😭 پس کومک لطفا
❤51🕊2
از خیلیا شنیدم که وا حالا این اروپاییا و آمریکاییا خیلی کار خاصی هم نکردن از فلسطین حمایت میکنن یا چمیدونم ضد اسرائیل شعار میدن. ما سالها هزینه دادیم اینا الان یهو چهارتا شعار دادن خیلی مهمه؟ بله دوست کودن من خیلی مهمه عزیزم. چرا؟ چون اونا مدام تو مدرسه و دانشگاه و محلکار و اجتماع، در مدح و ستایش اسرائیل دیدن و شنیدن. یعنی اگر ما شاهد پروپاگاندا بودیم، اونا دقیقا توش بودن. تو این دریا شنا میکردن. یک عمر با هالیوو…
❤126🔥2🕊1
ریاکت هم نگه داشتین برا وارث حتما. ما داریم زحمت میکشیم اینجااااا. حالا فعلا بخونین تا بعدا به راستگراها بپردازیم. این موضوع رو خودم دوست دارم.🫶🏻
❤99🕊3
حالا که اسم تدلسو اومد یه نظر نامحبوب بگم. من واقعا از کیلی خوشم نمیاد. یاد ریچلِ فرندز میفتم. البته کیلی بنده خدا از ریچل خیلی عاقلتره. اما کلا از این همه رنگی پنگی بودن و پر سر و صدایی و لوسبازیاش بدم میاد. ربکا رو بیشتر دوست دارم.
❤85🕊2
همین تد لسو عزیزم مثلا واقعا یکی از چپترین سریالهای معاصره. سرشار از فمنیسم و 🏳️🌈. The boys هم که مشخصه کاملا. چندسال اخیر فیلم و سریالهای اینشکلی بیشتری ساخته شدن...
❤61🕊2
Showing the 12 most recent of 121 posts we hold for @ihassiba. 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.
@ihassiba edited 6 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see 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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“حسیبا” (@ihassiba), 7,835 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/ihassiba.
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.