3 measurements spanning 7 days, net -3. 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 772–775 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 13:06
772
-3
6 Aug 2026, 23:18
775
no change
6 Aug 2026, 23:01
775
first reading
Engagement
19 posts held, back to 30 July 2023 — 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 · 30 days
35.8%
avg views ÷ 772 subscribers
Avg views / post
276
1 post measured
Reaction rate
5.07%
reactions ÷ views · ER floor
Posts in window
1
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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 20 July 2026
Posts held
19 (30 July 2023 – 20 July 2026)
Views total
276
Reactions total
14
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Aug 2026, 23:01 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
147 reactions across 14 posts, in 8 distinct kinds. The most used accounts for 32.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
47
32.0%
🔥
25
17.0%
👍
23
15.6%
😁
23
15.6%
🤣
16
10.9%
👏
8
5.44%
🙏
3
2.04%
👌
2
1.36%
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 14 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 147reactions 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 30 July 2023 to 20 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.
نسخه دانلود شده سخنرانی من در کارگاه آموزشی انجمن بلاکچین در رویداد ایفتکس مورخ چهارم دیماه 1404، با عنوان:
چگونه از رمزداراییهای خود در فضای بینالمللی نگهداری و محافظت کنیم؟
با توجه به تکرار اشتباهات کاربران علیرغم توصیههای مکرر و از دست رفتن داراییهای بسیاری از ایرانیان، پیشنهاد میکنم حتما این ارائه را تماشا کنید.
حسین غضنفری
@HGH_Online
🍕معرفی مدریتورهای رویداد پیتزادی
📌 رویداد آنکنفرانس پیتزادی شامل ۴ کلاس همزمان است
🎉کد تخفیف ۳۰ درصدی(محدود): vip30
🔖لینک ثبتنام:
https://evand.com/events/defier-btcpizzaday-2025
🌟این رویداد با حمایت و همکاری تپسل، اتراکس، فابا، پیزارو، تپسی، ایکس پی و دیکست در موسسه علوم و فنون تهران برگزار میشود
💢 جهاددانشگاهی واحد استان البرز با همکاری مدرسه وب۳ ایران برگزار میکند:
💡سمینار آموزشی: «سوادمالی برای مشاغل خانگی»
راهکارهای ساده برای رشد مالی کسب و کارهای کوچک
👤 مدرس: استاد حسین غضنفری
(مشاور، مدرس و فعال بازارهای مالی)
🗓 زمان برگزاری:
دوشنبه ۲۹ اردیبهشت – ساعت 17 الی 19
📍 مکان: رجاییشهر، خیابان دوم غربی، جهاددانشگاهی، سالن زنده یاد دکتر کاظمی آشتیانی
🎯 محورهای سمینار:
▪️حوزههای پولساز در کسب و کارهای خانگی…
🍕معرفی مدریتورهای پیتزادی
.
در پیتزادی چهار کلاس وجود دارد:
A:
عباس کافی با تجربه، درباره «توکنها، ایردراپها و بررسی پروژهها» صحبت میکنه، در این کلاس یاد میگیریم چطور یک پروژه یا توکن رو بررسی کنیم
B:
حسین غضنفری در قامت مشاور و مدرس سرمایهگذاری، سالهای زیادی تجربه کسب کرده و در این کلاس درباره «ترید، تحلیل تکنیکال و سرمایهگذاری» انتقال تجربه میکنه
C:
پیمان پورجعفر میتونه پایه و اساس موضوعات «فنی، برنامهنو…
هشتمین پیشرویداد 9 ژانویه
⭕️ وبینار چشم انداز بیت کوین در ۲۰۲۵
🎙ارائه: حسین غضنفری، فعال حوزه رمزارز و بلاکچین
🔹در طول سالهای اخیر بیتکوین و قیمت آن رکوردهای متفاوتی را تجربه کرده است. بخصوص در اواخر سال 2024 شاهد بیتکوین صدهزار دلاری بودیم که بسیاری منتظر آن بودند. حالا با آمدن دونالد ترامپ به کاخ سفید و تحولات مختلفی که انتظار سال 2025 را میکشد، در این وبینار تلاش میکنیم که چشم انداز روشن و مشخصی را برای …
🔑 خرید و نگهداری رمزارزها (ورود سریع و عملی به سرمایهگذاری)
👨🏫 مدرس: حسین غضنفری
🔸مشاور سرمایهگذاری در رمزارزها و مدرس حوزه بلاکچین و ارزهای دیجیتال
📆 زمان برگزاری: دوشنبه ۲۴ دی ۱۴۰۳
⏰ ساعت ۱۳ الی ۱۷
📍مکان: برج فناوری شریف، طبقه منفی یک، سالن جلسه یک
📌مباحث کارگاه:
🔹ماهیت و چیستی ارزهای دیجیتال
🔹نحوه ایجاد کیف پول(والت) و ارسال و دریافت رمزارز
🔹نحوه انتخاب رمزارز مناسب و خرید
🔹نوسان رمزارزها و معرفی StableCoin…
آخرین تحلیل بازار رمزارزها
https://www.instagram.com/reel/C_6NGdbyoL2/?igsh=MWdsc3lrcHd1OTRrdA==
@HGH_Online
🔥10👍3
Showing the 12 most recent of 19 posts we hold for @hgh_online. 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
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.
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 13 August 2026 — this
entry's latest reading, not the date you are reading this.
“بلاگ حسین غضنفری” (@hgh_online), 772 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/hgh_online.
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.