Channel
@farzanegan_andishe
On this record: Topic · Also posting the same content · Growth · Engagement · Reactions · Posts · Citations · Cite this entry
487subscribers
-21 since we began measuring on 5 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001007139520 |
|---|---|
| Type | Channel |
| Username | @farzanegan_andishe |
| Created | Between 1 September 2015 and 31 December 2015 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 19 September 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 19 September 2026 |
| On Telegram | t.me/farzanegan_andishe |
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 21 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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.
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 19 Sept 2026, 15:58 | 487 | +3 |
| 11 Sept 2026, 13:56 | 484 | -4 |
| 2 Sept 2026, 11:53 | 488 | -5 |
| 27 Aug 2026, 04:42 | 493 | -5 |
| 20 Aug 2026, 11:34 | 498 | -2 |
| 14 Aug 2026, 04:49 | 500 | -8 |
| 6 Aug 2026, 18:34 | 508 | no change |
| 5 Aug 2026, 22:08 | 508 | first reading |
20 posts held, back to 20 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 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 4 August 2026. An engagement rate over an empty window would be a number about nothing.
26 reactions across 15 posts, in 3 distinct kinds. The most used accounts for 50.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 13 | 50.0% | |
| 💯 | 10 | 38.5% | |
| 👍 | 3 | 11.5% |
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 15 of the 20 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 26 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 20 July 2026 to 4 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.
🖤 اربعین، امتداد عاشوراست؛ روزی برای تجدید عهد با حقیقت، آزادگی و مسیر روشن انسانیت. امروز، یاد گامهایی را گرامی میداریم که تا همیشه، راه حق را روشن نگه داشتهاند. اربعین حسینی تسلیت باد. التماس دعا. @farzanegan_andishe
پایه دهم را نمیشود فقط با ورق زدن تقویم شروع کرد؛ باید برایش آماده شد. کلاسهای تابستانه پایه دهم، در طول ده روز و طبق برنامه، برای دو گروه از دانشآموزان برگزار شد؛ فرصتی برای اینکه پیش از آغاز سال تحصیلی، با فضای جدید آشنا شوند، یاد بگیرند، تمرین کنند و با آمادگی بیشتری وارد مسیر تازه خود شوند. در این برنامه تلاش کردیم شروع پایه دهم فقط یک شروع آموزشی نباشد؛ بلکه فرصتی باشد برای ساختن عادتهای بهتر، شناخت بیشتر …
@farzanegan_andishe
👍1
📚 مشاوره تحصیلی | قسمت دوم مغز چگونه بهتر یاد میگیرد؟ حالا که فهمیدیم زیاد درس خواندن، لزوماً به معنی بهتر یاد گرفتن نیست، باید ببینیم چه روشهایی میتوانند یادگیری را مؤثرتر کنند. 🧠 ۱. خودت را امتحان کن! یکی از روشهای مؤثر یادگیری، تمرین بازیابی یا همان آزمون گرفتن از خود است. یعنی بعد از مطالعه، کتاب را ببندی و از خودت بپرسی: 🔹 چه چیزهایی یاد گرفتم؟ 🔹 نکات اصلی چه بودند؟ 🔹 اگر بخواهم این مطلب را برای کسی توضیح…
💯1
آینده، نتیجه انتخابهایی است که امروز شاید کوچک به نظر برسند.🍀 @farzanegan_andishe
📚 مشاوره تحصیلی | قسمت اول زیاد درس خواندن یا درست درس خواندن؟ در مجموعه قبلی درباره برنامهریزی، نظم و استمرار صحبت کردیم و به این نتیجه رسیدیم که مطالعه منظم و برنامهریزیشده، یکی از پایههای مهم یادگیری است. اما یک سؤال مهم باقی میماند: آیا هر ساعت مطالعه، به یک اندازه به یادگیری کمک میکند؟ تصور کنید دو دانشآموز هر کدام روزی ۴ ساعت مطالعه میکنند. یکی ساعتها کتاب را میخواند، زیر مطالب خط میکشد و چند بار…
👍2
قرار نیست همیشه آماده باشی؛ گاهی باید شروع کنی تا آماده شوی.🌿🌸 @farzanegan_andishe
💯2
📚 مشاوره تحصیلی | قسمت سوم برنامه داشتن؛ نقطه شروع یک مطالعه مؤثر حالا به سؤال مهمی میرسیم: اگر استمرار در یادگیری مهم است، چطور میتوانیم استمرار داشته باشیم؟ پاسخ، فقط «بیشتر درس خواندن» نیست. یکی از مهمترین ابزارها برای استمرار، برنامهریزی درست است. برنامه به ما کمک میکند بدانیم: 📌 چه چیزی را باید بخوانیم؟ 📌 چه زمانی باید بخوانیم؟ 📌 چقدر زمان برای هر درس داریم؟ 📌 چه زمانی باید مرور کنیم؟ 📌 کدام درسه…
❤1
📚 مشاوره تحصیلی | قسمت دوم مغز ما با مطالعه فشرده بهتر یاد میگیرد یا مطالعه مستمر؟ تصور کن فردا امتحان داری و تصمیم میگیری تمام مطالب را در یک شب بخوانی. احتمالاً ساعتهای زیادی مطالعه میکنی؛ اما آیا واقعاً یادگیری عمیق و ماندگاری اتفاق میافتد؟ یکی از یافتههای مهم پژوهشهای یادگیری، اهمیت تمرین توزیعشده یا همان فاصلهگذاری در مطالعه است. یعنی به جای اینکه حجم زیادی از مطالب را در یک زمان کوتاه مطالعه کنی، ی…
@farzanegan_andishe
📚 مشاوره تحصیلی | قسمت اول چرا استمرار، از انگیزه مهمتر است؟ تا به حال شده تصمیم بگیری از فردا بیشتر درس بخوانی، ورزش کنی، کتاب بخوانی یا کار مهمی را شروع کنی؛ اما چند روز بعد دوباره به همان عادتهای قبلی برگردی؟ واقعیت این است که تغییر پایدار، بیشتر از آنکه به انگیزههای لحظهای وابسته باشد، به استمرار و نظم وابسته است. انگیزه ممکن است امروز زیاد باشد و فردا کم؛ اما نظم یعنی حتی در روزهایی که حال و حوصله کافی ن…
💯2
@farzanegan_andishe
💯1
Showing the 12 most recent of 20 posts we hold for @farzanegan_andishe. 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.
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 3 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.
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 19 September 2026 — this entry's latest reading, not the date you are reading this.
“Farzanegan” (@farzanegan_andishe), 487 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/farzanegan_andishe.
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.