تندخوانی و تقویت حافظه فواد pinned «ویدیو های اینجا رو ببینید👇 https://foadzangeneh.com/product/دوره-جامع-تندخوانی-و-تقویت-حافظه/»

Channel
تندخوانی و تقویت حافظه فواد
@foadzangenehofficial
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
7,512subscribers
-166 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1001433695662 |
|---|---|
| Type | Channel |
| Username | @foadzangenehofficial |
| Created | Between 1 April 2019 and 31 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 16 September 2026 |
| Measurements held | 15 |
| Confirmed unchanged | 1 time, most recently 16 September 2026 |
| On Telegram | t.me/foadzangenehofficial |
Topic
Education — 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 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 why it has no browse page of its own yet.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Sept 2026, 18:39 | 7,512 | -16 |
| 13 Sept 2026, 05:15 | 7,528 | +13 |
| 9 Sept 2026, 04:36 | 7,515 | -29 |
| 4 Sept 2026, 04:15 | 7,544 | -2 |
| 31 Aug 2026, 13:53 | 7,546 | -17 |
| 28 Aug 2026, 07:07 | 7,563 | -16 |
| 25 Aug 2026, 12:23 | 7,579 | -11 |
| 22 Aug 2026, 05:25 | 7,590 | -41 |
| 18 Aug 2026, 12:16 | 7,631 | -11 |
| 15 Aug 2026, 16:25 | 7,642 | -4 |
| 12 Aug 2026, 01:02 | 7,646 | -19 |
| 9 Aug 2026, 10:33 | 7,665 | -14 |
| 6 Aug 2026, 04:40 | 7,679 | +1 |
| 6 Aug 2026, 03:06 | 7,678 | no change |
| 6 Aug 2026, 02:08 | 7,678 | first reading |
Engagement
59 posts held, back to 28 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 · 30 days
- 0.941%
- avg views ÷ 7,512 subscribers
- Avg views / post
- 70.7
- 3 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 4
- of 59 held
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 26 August 2026 |
|---|---|
| Posts held | 59 (28 July 2026 – 26 August 2026) |
| Views total | 212 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 28 Aug 2026, 21:52 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.
Reaction mix
26 reactions across 18 posts, in 5 distinct kinds. The most used accounts for 69.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 18 | 69.2% | |
| 👌 | 3 | 11.5% | |
| 👏 | 2 | 7.69% | |
| 🔥 | 2 | 7.69% | |
| 🕊 | 1 | 3.85% |
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 20 of the 59 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 27 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 59 most recent posts we hold, published 28 July 2026 to 26 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.
Recent posts
ویدیو های اینجا رو ببینید👇 https://foadzangeneh.com/product/دوره-جامع-تندخوانی-و-تقویت-حافظه/
Sticker, posted without a caption
سلام برای استفاده از اموزش های رایگان تندخوانی پیام میدم
Photo, posted without a caption
❤1
ظرفیت به پایان رسید🔥🔥 قدردان اعتمادتان هستیم
👆👆👆 بچه ها این تمرینی هست که ریپلای کردم
میشه تمرین رو برای منم بفرستید
🔥دوست داشتید شما هم درصد دقت و تمرکزتون و برای مشاوران بفرستید بهتون تمرین بدن برای بهترشدنش 👇👇 @ad_tondkhani
❤1
Sticker, posted without a caption
🔺اگر میخواهید سرعت عمل پردازش مغزتون زیاد بشه حتما این تمرین رو کار کنید.. 🔥حتما حتما صفحه این تمرین رو توی گوشی تون ذخیره کنید تا روزانه چندین بار کنید 🔥وقتی وارد شدید: ۱- گزینه share رو بزنید ۲-بعد گزینه Add to home screen بزنید 👇👇 «ورود به صفحه تمرین»
یه تمرین مهمممممم🔥
Showing the 12 most recent of 59 posts we hold for @foadzangenehofficial. 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.
Forward network
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.
Mentions
Named by 66 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
Named by
Channels on the register whose posts name this channel's handle.
@basic_sciences_virtual_society · 10,0415 postsگروه آموزشی دکتر یزدان دوست (هماتولوژی / ایمنولوژی /ژنتیک / زبان / باکتری / بیوتکنولوژی / استخدامی علوم آزمایشگاهی / باکتری و...
@heamato · 13,9095 postsمشاوره و تدریس زبان ارشد پزشکی- استاد صفدری
@safdari_english · 9,8185 postsاخبار کنکورهای وزارت بهداشت/استخدامی🍀🌸
@akhbareestekhdamiha · 6,8644 postsکانال سلولی مولکولی دکتر عرب_بیوما
@arabbioma · 19,6934 postsGene Media (INNOVA Academy)
@genemedia · 16,9294 postsبانک کتاب علوم پزشکی
@ketabepezeshki · 28,3924 postsTAM Educational Group | گروه آموزشی تام
@TAM_EdG · 9,6274 posts🚨کتابکده آرسو-ارسال کتب پزشکی به سراسرایران🚨
@Arso0ketabkade · 9,2563 postsصفرتاصد میکروب - میکروهاب
@bacteri_0ta100 · 10,5173 postsbiochemistry (Dr. Fathi)
@biochemistry1367 · 8,7013 postsبیولوشیمی
@Biolochemistry · 10,5383 postsآکادمی زبان ارشد دکتری (دکترمهاجرنیا)
@Drmohajernia_Eng_Acdmy · 21,5653 posts🎓 آکادمی زبان ارشد ، دکتری (MHLE , MSRT) بردیا مهاجرنیا
@DrMohajernia_MHLE_IELTS_EPT · 12,2393 postsMedGene.Moshavereh (INNOVA Academy)
@Farahani_Moshavereh · 8,9593 postshemato_case هماتو_کیس
@hemato_case · 6,6423 postsاطلس هماتولوژی دکتر یزدان دوست💞
@hematologyatlas · 9,8853 postsBasic Immunology
@immunology_daneshvar · 9,0323 postsآکادمی منافی
@Manafi_Academy · 9,6903 postsطرح مشاوره/ خانم منافی
@ManafiF · 7,3453 postsبانک کتاب علوم پزشکی medbookkk
@medbookkk · 7,8703 postsزبان پزشکی دکتر سیادت (گروه آموزشی دکتر یزدان دوست)
@medicallanguage · 20,0613 postsکانال هماتولوژی / ایمنولوژی استاد نادری
@naderi_gp · 8,9603 postsویروس شناسی پزشکی دکتر پویا مرادی
@virology_moradi · 6,6323 posts
Names
Channels on the register whose handles appear in this channel's posts.
@akhbareestekhdamiha · 6,8642 postsکانال سلولی مولکولی دکتر عرب_بیوما
@arabbioma · 19,6932 posts🚨کتابکده آرسو-ارسال کتب پزشکی به سراسرایران🚨
@Arso0ketabkade · 9,2562 postsصفرتاصد میکروب - میکروهاب
@bacteri_0ta100 · 10,5172 postsمدرسه مجازی علوم پایه پزشکی
@basic_sciences_virtual_society · 10,0412 postsزبان انگلیسی ارشد، دکتری، mhle بهداشت (بیولوشیمی)
@Biolochemistry_English · 5,2012 postsتست بیوشیمی
@bioteest · 5,7672 posts🎓 آکادمی زبان ارشد ، دکتری (MHLE , MSRT) بردیا مهاجرنیا
@DrMohajernia_MHLE_IELTS_EPT · 12,2392 postsDr Ghayoumipour💊🦠🧫🧪Biochemistryدکتر قیومی پور
@DrNbiochemistry · 7,9512 postsMedGene.Moshavereh (INNOVA Academy)
@Farahani_Moshavereh · 8,9592 posts⭐️ فیزیولوژی || پزشکی ⭐️
@guiton_97 · 10,3452 postshemato_case هماتو_کیس
@hemato_case · 6,6422 postsاطلس هماتولوژی دکتر یزدان دوست💞
@hematologyatlas · 9,8852 postsBasic Immunology
@immunology_daneshvar · 9,0322 postsکانال ایمونولوژی استاد عالی
@immunologyaali · 10,6042 posts🎙ImmunoRadio™
@ImmunoRadio · 5,4712 postsنکته و تست ایمنی شناسی پزشکی بر اساس ابولعباس
@imonology_2022 · 5,7842 postsنابغه ها | دکتر کاظم زاده
@kazemzadehK · 6,3282 postsمشاوره ارشد و دکتری | دکترکاظم زاده
@KazemzadehM · 6,6662 postsنمونه تدریس بیوشیمی / کاظمزاده
@KazemzadehS · 6,4872 postsطرح مشاوره | دکتر کاظم زاده
@KazemzadehT · 5,0532 postsآکادمی منافی
@Manafi_Academy · 9,6902 postsنیازمندی های آزمایشگاهی، پزشکی و استخدامی ایران (نآپا) [اولین و بزرگترین کانال برای آگهی های رایگان]
@Medical_Lab_Niazmandi_IRAN · 3,9512 posts«آکادمی معجزه؛ تخصصی ویروسشناسی پزشکی» [ارشد و دکتری] (دکتر البرزی)
@medical_virology_Dr_alborzi · 3,4852 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.
Handles this channel named that no longer answer
- Dead references
- 2
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 2
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 0
- vacant every time we have ever looked
@foadzangenehofficial named 2 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.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
named in 1 post, 8 August 2026 – 8 August 2026 · confirmed gone 27 August 2026 (two independent sightings — see how we confirm a dead handle)evidenced
named in 1 post, 8 August 2026 – 8 August 2026 · confirmed gone 11 September 2026 (two independent sightings — see how we confirm a dead handle)evidenced
Cite this entry
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 16 September 2026 — this entry's latest reading, not the date you are reading this.
“تندخوانی و تقویت حافظه فواد” (@foadzangenehofficial), 7,512 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/foadzangenehofficial.
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.