Channel
@huda_farsi
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
1,168subscribers
-4 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001212859561 |
|---|---|
| Type | Channel |
| Username | @huda_farsi |
| Created | Between 1 March 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/huda_farsi |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 06:36 | 1,168 | -3 |
| 10 Aug 2026, 07:57 | 1,171 | -1 |
| 7 Aug 2026, 04:00 | 1,172 | no change |
| 6 Aug 2026, 15:22 | 1,172 | first reading |
16 posts held, back to 9 June 2024 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof 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 5 August 2026 |
|---|---|
| Posts held | 16 (9 June 2024 – 5 August 2026) |
| Views total | 38 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 15:22 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.
64 reactions across 10 posts, in 4 distinct kinds. The most used accounts for 78.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 50 | 78.1% | |
| 👍 | 9 | 14.1% | |
| 👏 | 4 | 6.25% | |
| 🔥 | 1 | 1.56% |
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 10 of the 16 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 64reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 9 June 2024 to 5 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.
Army of Satan - Episode 33 The Hidden Agenda of AI اجندای تاریک هوش مصنوعی - ارتش شیطان قسمت سی و سوم Series: The Army of Satan Rationality comes out of Islamic Belief Keywords ارتش شیطان لشکر شیطان هوش مصنوعی #armyofsatan #ai #rationalbeliever Artificial Intelligence Chat GPT Robots MK Ultra mind control Hypnosis Hollywood surveillance Illuminati dajjal trailer Netflix Demonic Industry Musical instruments on th…
مجموعه #ارتش_شیطان - قسمت سی و دوم الگوریتم شیطان Army of Satan - Episode 32 The Satan's algorithm
❤1👏1
مجله اسلامی هُدىٰ pinned a video
این روزا خیلی از ترامپ حرف زده میشه از بی سواد و باسواد گرفته تا پیر بچه جوان، مگه ترامپ کیه!که انیقدر بزرگش کردید، انگار فراموش کردید که همه چی در دستان الله متعال هست، بزرگتر از ترامپ زیر خرواری از خاک دفن شدن و هیچ خبری ازشون نیست، ایمان و اعتقاد تون به الله بالا ببرید، و به الله توکل کنید و آرامش خود را حفظ کنید،
❤20
در این زمان که دلشوره و نگرانی تمام وجود را فرا گرفته دلهایتان به آرامش دعوت کنید و با نوای از قرآن گوش و دلهایتان را آرام کنید اگر در این دنیا حتی اگر کسی را ندارید شما الله متعال را دارید، کافیست بگوید بشو، و بشود هرآنچه که دستور داده است همراه اول و آخر شما الله متعال هست توکل کنید و آرامش خود را حفظ کنید
❤3
🥀 ▪️ سورة فصلت ▪️ 🥀 • القارئ ؛ #عبدالرحمن_السويد • تلاوة خاشعة ١٤٤١هـ https://soundcloud.com/tvquran22/sw10 سبحان اللّہ .. الحمد للّہ .. لا إلّہ إلا اللّہ .. اللّہ أڪبر ▪️
مجموعه #ارتش_شیطان - قسمت 31 Film Industry- Hollywood (Satan' Industry) جنبه تاریک هالیوود صنعت (فیلم) - ارتش شیطان قسمت 31 کلمات کلیدی #music #hollywood MK Ultra mind control Hypnosis Hollywood Musicians Illuminati dajjal Netflix trailer Demonic Industry Musical instruments on their head prophecy Merciful Servant Headphones in Hadith prophet's miracle about head phone magic Selling Soul to d…
File, posted without a caption
❤6
Photo, posted without a caption
❤9👍1
مجله اسلامی هُدىٰ pinned a video
مجموعه #ارتش_شیطان - قسمت 30 Film Industry- Hollywood (Satan' Industry) هالیوود صنعت (فیلم) - ارتش شیطان قسمت 30 صنعت فیلم - هالیوود (صنعت شیطانی) [بخش اول] 🔹گروههای نخبهای که سعی در کنترل افکار و سلطه بر جوامع دارند، میدانند که یک فیلم میتواند تاثیرش بسیار بیشتر از دهها کتاب باشد. تزریق افکار در رسانهها با جزئیاتی که مخاطب روی آن تمرکز نمیکند مانند: نمادگرایی، موسیقی، الگوهای شخصیتی و تکرار کردن 🔹برخ…
👍3
🎙 مشکل من با مناظرات چرا از مناظرهکردن خوشم نمیآید و کمتر مناظرهای را دنبال میکنم؟ این عنوان، واکنشی به کودکانههای پرهیاهوی فضای مجازی است که دانش را فضیلت نمیشمارد و دانا و نادان را همسان فرض میکند. __________________ @pezhvaak_ch
❤4👍2🔥1
Showing the 12 most recent of 16 posts we hold for @huda_farsi. 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 — 152,235 of 1,350,102entries 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.
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.
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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“مجله اسلامی هُدىٰ” (@huda_farsi), 1,168 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/huda_farsi.
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.