Channel
@ashpazbaassh
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry
29,066subscribers
+1,385 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001124656196 |
|---|---|
| Type | Channel |
| Username | @ashpazbaassh |
| Description | 👩🍳🍲🍕🥗🍰☕💕 |
| Created | Between 1 June 2017 and 30 September 2020 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 5 November 2026 |
| Measurements held | 50 |
| Confirmed unchanged | 1 time, most recently 5 November 2026 |
| On Telegram | t.me/ashpazbaassh |
Music — 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 20 August 2026 and assigned it the closest of 31 fixed categories, at 58% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 5 Nov 2026, 13:59 | 29,066 | -12 |
| 4 Nov 2026, 14:20 | 29,078 | -21 |
| 3 Nov 2026, 13:37 | 29,099 | -30 |
| 2 Nov 2026, 16:49 | 29,129 | -10 |
| 1 Nov 2026, 19:01 | 29,139 | -40 |
| 31 Oct 2026, 17:38 | 29,179 | -39 |
| 30 Oct 2026, 15:06 | 29,218 | +28,790 |
| 24 Oct 2026, 08:45 | 428 | -28,066 |
| 23 Oct 2026, 11:10 | 28,494 | -20 |
| 22 Oct 2026, 07:39 | 28,514 | -39 |
| 21 Oct 2026, 01:47 | 28,553 | -30 |
| 20 Oct 2026, 01:40 | 28,583 | -25 |
| 19 Oct 2026, 02:27 | 28,608 | -29 |
| 18 Oct 2026, 01:18 | 28,637 | -32 |
| 17 Oct 2026, 03:05 | 28,669 | -30 |
| 16 Oct 2026, 01:18 | 28,699 | -32 |
| 15 Oct 2026, 03:16 | 28,731 | -27 |
| 14 Oct 2026, 01:06 | 28,758 | -96 |
| 11 Oct 2026, 02:01 | 28,854 | -144 |
| 6 Oct 2026, 21:41 | 28,998 | first reading |
1,284 posts held, back to 5 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 117 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. It is computed over the 139 of 311 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 5 November 2026 |
|---|---|
| Posts held | 1,284 (5 August 2026 – 5 November 2026) |
| Views total | 181,597 |
| Reactions total | 451 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 5 Nov 2026, 18:25 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 5 November 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 536 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.
1,460 reactions across 453 posts, in 15 distinct kinds. The most used accounts for 71.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1,038 | 71.1% | |
| 👍 | 171 | 11.7% | |
| 👏 | 113 | 7.74% | |
| 🙏 | 43 | 2.95% | |
| 👎 | 20 | 1.37% | |
| 😍 | 19 | 1.30% | |
| 😁 | 18 | 1.23% | |
| 🤡 | 13 | 0.89% | |
| 👌 | 6 | 0.411% | |
| 🥰 | 6 | 0.411% | |
| 🍌 | 5 | 0.342% | |
| 🌭 | 3 | 0.205% | |
| 🤩 | 3 | 0.205% | |
| 💯 | 1 | 0.068% | |
| 🤗 | 1 | 0.068% |
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 469 of the 1,000 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 1,460 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 17 August 2026 to 5 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.
Telegram’s own ‘edited’ marker: 6 of 311 posts held from the last 30 days (1.93%) 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).
⚠️گربه را دم حجله کشته.. میگویند در ایام قدیم دختری تندخو و بد اخلاق وجود داشته که هیج کس حاضر به ازدواج با او نبوده است. پس از چندی پسری از اهالی شهامت به خرج می دهد و تصمیم می گیرد که با وی ازدواج کند. بر خلاف نظر همه ، او میگوید که میتواند دخترک را رام کند. خلاصه پس از مراسم عروسی ، عروس و داماد وارد حجله میشوند که ناگهان........ ادامه شو اینجا بخونید جالبه ➡️
همگی بخونید تا درس عبرتی بشه برای اونایی که حیون خونگی دارن!
🤡3
بامداد خمار محبوبه، دختر بصیرالملک بافرهنگ و اشرافی و از اعیان جامعه عاشق رحیم که یک شاگرد نجار و از قشر پایین جامعه است میشود. خواستگارانش را رد میکند و در برابر خانواده آنقدر مقاومت میکند تا خانواده به ازدواج او رضایت میدهد، اما آیا همه چیز مطابق میل محبوبه پیش می رود؟!... ادامه داستان … ادامه داستان…
نجاری بود که زن زیبایی داشت که پادشاه را مجذوب خود کرده بود پادشاه بهانه ای از نجار گرفت و حکم اعدام او را صادر کرد و گفت نجار را فردا اعدام کنید.. و زنش را نزد من بیاورید .. نجار آن شب نتوانست بخوابد … همسر نجار گفت : مانند هر شب بخواب … کلام همسرش آرامشی بر دلش ايجاد کرد و چشمانش سنگين شد و خوابيد … صبح صدای پای سربازان را شنيد… چهره اش دگرگون شد و با نا اميدی، پشيمانی و افسوس به همسرش نگاه کرد که دريغا باورت کر…
❤1
🩸گروه خونی شما چیست؟💉 روی گروه خونی خودتون کلیک کنید و ببینید چه شخصیت و نیاز جنسی دارین. سرنگ ها رو لمس کنید😱💉👇 O+💉 O-💉 A+💉 A- 💉 B+💉 B- 💉 AB+💉 AB-💉 🩸این تشخیص رفتار و شخصیت کاملا علمی است خواهشااشتباه نزنیدظرفیت ۴۳نفردیگه.❣️
علت خارج شدن باد از واژن🧡 راهکار های باد واژن که نمیدونستی🧡 مشاهده درمان➡️➡️
😍 اگه لوبیا سبز داری، این خوراک خوشمزه با مرغ رو از دست نده! 🧅 پیاز رو با کره تفت بده، مرغ و ادویهها ( نمک،زردچوبه،گراماسالا،پاپریکا،لیموفلفل)رو اضافه کن؛ بعد سیبزمینی، لوبیا سبز و هویج رو بریز و تفت بده. 🍅 پوره گوجه و یک قاشق رب و یک قاشق روغن و با آب جوش مخلوط کن و به مواد اضافه کن، آب بریز تا روی مواد رو بگیره و بذار آروم بپزه و جا بیفته. 🍋 آبلیموی تازه یادت نره؛ طعمش رو فوقالعاده میکنه! 📌 ذخیره کن برای …
❤2👏1
پفک ؟؟یا بادمجون؟؟ با چند تا نکتهی ریز و فوتوفن مخصوص، میتونی بادمجانهایی درست کنی که هم بافتش عالی باشه، هم طعمش ماندگار. در این آموزش قدمبهقدم نشونت میدم چطور بادمجانها رو مزهدار و سوخاری کنی تا نتیجه کاملاً حرفهای و لذیذ بشه. 🤤🔥 ⸻ #پیش_غذا #غذای_سالم سوخاری آشپزی_آسان سوخاری_ترد بادمجان 🥦 آشپزے با عشق 👩🏻🍳👨🏽🍳 @ashpazbaassh
❤5👏1
کباب تابهای حرفهای؛ خوشعطر، آبدار و بدون جمع شدن! 😍😉 مواد لازم ۵۰۰ گرم گوشت چرخکرده با ۲۰٪ چربی پیشنهاد من ۷۰ درصد گوساله و ۳۰درصد گوسفندی هست ۱۵۰ تا ۲۰۰ گرم پیاز رندهشده و کاملاً آبگرفته ۳۰ گرم سیبزمینی رندهشده و آبگرفته (اختیاری) نمک، فلفل سیاه و کمی زردچوبه #کباب_تابه_ای 🥦 آشپزے با عشق 👩🏻🍳👨🏽🍳 @ashpazbaassh
❤5👏1
سلام عزیزم💕 . حالا نمیدونم واقعا اصالت این غذا به تهران برمیگرده یا نه ولی انقدر خوشمزه س که قطعاااا دوسش داری 😋 . برای ۶ الی ۷ نفر چی نیاز داریم ؟؟؟ ۵۰۰ گرم گوشت یا مرغ تکه ای یک پیاز خرد شده ۴ حبه سیر خرد شده ۳۰۰ گرم اسفناج ۱ ق غ رب گوجه ۱۰ الی ۱۲ عدد آلو بخارا آب نصف نارنج نمک و فلفل سیاه و زردجوبه و دارچین و کاری . 💥آلو بخارا حتما یک ساعت قبل داخل آب خیس بخوره 💥آب اسفناج کامل کامل کشیده بشه و تفت بخوره 💥مخلوط اس…
❤8
درامد دلاری با تلگرام ✅ : با نصب این نسخه از تلگرام 2 دلار(حدودا 550 تومن) پس از ورود به حسابتون میده 🪙 و روزانه برحسب فعالیت و سابقه اکانتتون بهتون دلار میده 🪙🫴 و میتونین توی کیف پولتون برداشت کنید💰 کاملا واقعی و مطمئن 💳 آیدی ادمین در صورت وجود مشکل و نیاز به راهنمایی : @raha_keshvari ➡️
تنها جایی که هر روز تو لایو طلا رو تحلیل میکنن ؛ بزرگترین لایو فارکس اینجاست👇 @cheragh
Showing the 12 most recent of 1,284 posts we hold for @ashpazbaassh. 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.
We recorded 59 posts on @ashpazbaassh 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.
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.
Named by 12 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.
@ashpazbaassh named 12 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
References a handle that is not a live channel — we have no record it ever was one.
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 9 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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 9 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 5 November 2026 — this entry's latest reading, not the date you are reading this.
“❤آشپزی باعشق❤” (@ashpazbaassh), 29,066 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/ashpazbaassh.
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.