Telegram RegisterThe public register of Telegram

Channel

همگام

@hamgam_org

On this record: Also posting the same content · Growth · Engagement · Reactions · Posts · Citations · Cite this entry

352subscribers

+5 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002436426738
TypeChannel
Username@hamgam_org
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/hamgam_org

Also posting the same content

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.

Growth

347352349.56 August 2026 — 347 subscribers6 August 2026 — 348 subscribers6 August 2026 — 348 subscribers12 August 2026 — 352 subscribers6 August 202612 August 2026
4 measurements spanning 7 days, net +5. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 346–353 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 23:23352+4
6 Aug 2026, 21:18348no change
6 Aug 2026, 18:10348+1
6 Aug 2026, 02:22347first reading

Engagement

19 posts held, back to 19 October 2025the 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 · 30 days
89.0%
avg views ÷ 352 subscribers
Avg views / post
313
3 posts measured
Reaction rate
1.31%
reactions ÷ views · ER floor
Posts in window
3
of 19 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. It is computed over the 2 of 3 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 27 July 2026
Posts held19 (19 October 202527 July 2026)
Views total940
Reactions total11
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 21:18 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

65 reactions across 17 posts, in 7 distinct kinds. The most used accounts for 80.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
5280.0%
👏46.15%
💩34.62%
👌23.08%
👍23.08%
👎11.54%
🙏11.54%

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 18 of the 19 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 65reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 19 October 2025 to 27 July 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

27 Jul 2026, 13:08 UTC104 views5 reactionsread 6 August 2026

۲۳ جولای ۲۰۲۶، دو ریاضی‌دان چینی روی صحنهٔ مدال فیلدز ایستادند: «هونگ وانگ» و «یو دِنگ». همان صحنه‌ای که دوازده سال پیش، مریم میرزاخانی نخستین زن تاریخ شد که بر آن ایستاد و تعریف تازه‌ای از آنچه ممکن است ارائه کرد. خیلی زود، دانشگاه پکن از موفقیت دو دانشجوی سابقش نوشت. اما در شبکه‌های اجتماعی چین، بعضی‌ها به‌جای جشن گرفتن، پرسش دیگری مطرح کردند: این دانشگاه واقعاً آن‌ها را پرورش داده بود، یا فقط امروز می‌خواست بخشی

4👍1

18 Jul 2026, 14:00 UTC735 views6 reactionsread 6 August 2026
Photo

همه‌ ما حداقل یک‌بار در چنین موقعیتی بوده‌ایم: یک فایل PDF داریم؛ شاید رزومه، قرارداد، مقاله، فرم اداری یا یکی از مدارک شخصی‌مان باشد. فقط می‌خواهیم دو صفحه را ادغام کنیم، حجم فایل را کم کنیم، صفحه‌ای را حذف کنیم، تصویری اضافه کنیم یا در پایان سند را امضا کرده و بفرستیم. اما معمولاً با دو انتخاب روبه‌رو می‌شویم: یا باید برای یک PDF Reader/Editor خرج بکنیم، یا فایل را در سایتی آپلود کنیم که دقیقاً نمی‌دانیم با آن چه م

👏3👌21

12 Jul 2026, 06:34 UTC900 views2 reactionsread 6 August 2026
Photo

📁 ساخت رزومه حرفه‌ای و اختصاصی برای هر موقعیت شغلی با Tailit 🧭 رزومه‌نویسی می‌تواند یکی از کارهای سخت و پرچالش در مسیر کاریابی (یا اپلای) باشد؛ از آماده‌کردن محتوای مناسب برای هر موقعیت شغلی گرفته تا انتخاب یک قالب حرفه‌ای. همچنین فرستادن یک رزومه ثابت برای همه آگهی‌های شغلی (یا تحصیلی) معمولاً نتیجه خوبی ندارد. هر موقعیت روی مهارت‌ها، تجربه‌ها و کلیدواژه‌های متفاوتی تأکید می‌کند و بهتر است رزومه برای هر درخواست شغل

2

11 Jul 2026, 12:39 UTC258 views7 reactionsread 6 August 2026
Photo

شش ماه از ۱۸ و ۱۹ دی گذشت. دو روزی که به یکی از تلخ‌ترین و سنگین‌ترین روزهای تاریخ معاصر ایران تبدیل شد. روزهایی که هزاران خانواده داغدار شدند و زخمی عمیق بر روان جمعی ما نشست؛ زخمی که هنوز بعد از شش ماه، تأثیرش در زندگی روزمره بسیاری از ما باقی مانده است و خواهد ماند. امروز، با یاد همه عزیزانی که از دست رفتند و به دنبال آینده‌ای بهتر بودند و به احترام همه کسانی که هنوز با این زخم دست‌وپنجه نرم می‌کنند، متعهد می‌شوی

5👍1👎1

28 Nov 2025, 05:49 UTC≈8,990 views4 reactionsread 6 August 2026
Photo

🔻در نهمین قسمت از پادکست همگام، به ایتالیا و آلمان سفر می‌کنیم. جایی که «مهیار رضویان» از تجربه‌هایش در زندگی، تحصیل و کار می‌گوید. جوانی که به رشته معماری علاقه‌ای نداشت، اما با دندان روی جگر لیسانسش را گرفت و سپس با همسرش راهی فلورانس شد؛ جایی که خیابان‌های سنگ‌فرش و گنبدهای تاریخی، گواه چالش‌های سخت پیشِ‌رو بودند. با مهیار درباره رویاهای قبل از دانشگاه، تحصیلات در ایتالیا و از دست دادن بورس استانی و چالش های مخت

2💩2

26 Nov 2025, 06:20 UTC495 views3 reactionsread 6 August 2026
Forwarded from @jaryan_azadsaziPhoto

🔆 نخستین وبینار جامع آزادسازی مدرک ⁉️جریان آزادسازی مدرک چیه؟ اگر در دانشگاه دولتی و مقطع روزانه تحصیل کرده باشید، بحث آزادسازی مدرک قطعا به گوشتون خورده. اطراف جریان آزادسازی مدرک، باورهای غلط، ناآگاهی‌ از قوانین و همینطور سودجویی افراد مختلف دست به دست هم دادن که کلاف سردرگمی بسازند که دانشجویان و فارغ‌التحصیلان رو سرگردان و هزینه‌های مالی و از همه مهم‌تر زمانی زیادی براشون به بار آورده. 🎁 دستاورد شما از این وبین

2💩1

23 Nov 2025, 12:39 UTC≈4,610 views3 reactionsread 6 August 2026
Photo

سلام به همراهان خوب همگام 🌱 🔥🔜 قسمت نهم پادکست همگام با عنوان «رکاب زدن در دل آشوب» این هفته منتشر می‌شه. 🟣 این قسمت روایت تاب‌آوری مهیار است؛ جوانی که به رشته معماری علاقه‌ای نداشت، اما با دندان روی جگر لیسانسش را گرفت و سپس با همسرش راهی فلورانس شد؛ جایی که خیابان‌های سنگ‌فرش و گنبدهای تاریخی، گواه چالش‌های سخت پیشِ‌رو بودند. ایتالیا برای او یک امتحان زندگی بود: از یاد گرفتن دوچرخه‌سواری از صفر برای دلیوری غذا،

3

22 Nov 2025, 15:17 UTC330 views2 reactionsread 6 August 2026

#موقت من به عنوان یکی از اعضای پنل در این وبینار حضور فعال خواهم داشت.

2

22 Nov 2025, 15:12 UTC308 views2 reactionsread 6 August 2026
Forwarded from @EEAUTPhoto

🇦🇺 وبینار ویژه با حضور اساتید دانشگاه‌های استرالیا و نیوزلند 📰 خبرنامه امیرکبیر با همکاری مدرسه آنلاین کانون بین‌المللی دانشگاهیان ایرانی برگزار می‌کند: وبینار و پرسش‌وپاسخ پذیرش در دانشگاه‌های استرالیا و نیوزلند 🆕 برای نخستین‌بار با حضور جمعی از اساتید و محققان دانشگاه‌های استرالیا و نیوزلند 🗓 زمان برگزاری: جمعه ۰۷ آذر ۱۴۰۴ (۲۸ نوامبر ۲۰۲۵) 📌 ساعت ۱۰:۳۰ به وقت ایران | ۱۸:۰۰ به وقت سیدنی | ۲۰:۰۰ به وقت ولینگتون

2

20 Nov 2025, 13:18 UTC333 views4 reactionsread 6 August 2026
Forwarded from @irevidenceVideo

▫️ معرفی Scholar Labs: هوش مصنوعی به Google Scholar آمد! جست‌وجوی کلیدواژه‌ای و بولی کم‌کم جای خود را به جست‌وجوی معنایی می‌دهد؛ جایی که نقش هوش مصنوعی پررنگ‌تر از همیشه است. سرویس جدید Scholar Labs این امکان را فراهم کرده که به‌جای وارد کردن کلیدواژه‌ها، سوال پژوهشی خود را به زبان طبیعی مطرح کنید تا مرتبط‌ترین مقالات بر اساس همان سوال پیشنهاد شوند. در این ویدیو نحوه استفاده از این سرویس را نشان داده‌ام. توجه داش

4

Showing the 12 most recent of 19 posts we hold for @hamgam_org. 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

Citation-graph rank — 174,390 of 1,151,006entries 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.

Forward network

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 4 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.

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.

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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“همگام” (@hamgam_org), 352 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/hamgam_org.

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.