3 measurements spanning 3 days, net -11. 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 1,173–1,188 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 10:06
1,175
-11
9 Aug 2026, 08:11
1,186
no change
9 Aug 2026, 00:45
1,186
first reading
Engagement
20 posts held, back to 6 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 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
63.6%
avg views ÷ 1,175 subscribers
Avg views / post
747
7 posts measured
Reaction rate
0.388%
reactions ÷ views · ER floor
Posts in window
7
of 20 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 6 of 7 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 1 August 2026
Posts held
20 (6 July 2026 – 1 August 2026)
Views total
5,232
Reactions total
18
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
9 Aug 2026, 00:45 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
59 reactions across 17 posts, in 5 distinct kinds. The most used accounts for 44.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
26
44.1%
👍
15
25.4%
👏
8
13.6%
⚡
7
11.9%
😍
3
5.08%
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 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 59reactions 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 6 July 2026 to 1 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.
📝پرامپت زیر رو به چت جی پی تی بده، ۱۰ تا سوال ساده ازت میپرسه و بعد تحلیلت میکنه:
🎭 From this moment, you're not just an AI—you are a dream team made up of a psychologist, career coach, HR manager, detective, stand-up comedian, fortune teller (who's wrong 30% of the time), and my brutally honest best friend. Ask me ONLY 10 short questions, one at a time. Make them fun, creative, and natural—not like a boring persona…
✅نسخه انگلیسی کتاب هنر تفکر خلاق
‼️خوندن این کتاب به همه افرادی که دوست دارن کارهای متفاوت انجام بدن، متمایز باشن و همیشه یاد بگیرن و خلاقیت بخرج بدن توصیه میشه!
🆔@growthbrief
✅برای اینکه متفاوت از دیگران فکر کنیم و ایدههای نو خلق کنیم، باید فرآیند تفکرمان را دگرگون کنیم. 5 استراتژی دیگر از کتاب ارزشمند «هنر تفکر خلاق» در اینفوگرافی بالا آمده است.
🆔 @growthbrief
معماری همکاریهای فرامرزی: چرا سیستمها مهمتر از فرهنگ هستند؟
بسیاری از رهبران جهانی ناکارآمدی و عدم مشارکت تیمهای منطقهای خود را به گردن تفاوتهای فرهنگی یا عدم تمایل کارکنان به ابراز عقیده میاندازند. اما تحقیقات گسترده روی شرکتهای بزرگ بینالمللی نشان میدهد که ریشه اصلی مشکل در سیستمهای کاری و فرآیندهاست، نه تفاوتهای فرهنگی.
نویسنده مقاله (زاک دایکوالد از BridgeWorks Global) معتقد است همکاریهای فرامرزی تح…
⁉️چرا همکاری با تیمهای بینالمللی همیشه با چالش همراه است؟
برخلاف تصور عموم، مقصر تفاوتهای فرهنگی نیست، بلکه ریشه اصلی در سیستمهای کاری و فرآیندهای معیوب سازمانی است.
در این اینفوگرافیک به بررسی عوامل کلیدی همکاریهای فرامرزی و راهکار نجات «افراد پل» از «مالیات سنگین همکاری جهانی» بر اساس آخرین مقاله HBR پرداختهایم.
◀️آدرس HBR:
https://hbr.org/2026/07/how-highly-effective-global-teams-collaborate-across-culture…
قطبنمای کسبوکار شما: شاخص کلیدی عملکرد (KPI) چیست؟ 📊
دویدن بدون نقشه راه، فقط شما را خسته میکند. KPI یا همان شاخص کلیدی عملکرد، ابزاری است سنجشپذیر که نشان میدهد شما واقعاً چقدر در مسیر رسیدن به اهداف استراتژیک خود موفق بودهاید.
در اینفوگرافیک این پست به زبان ساده یاد میگیرید: 🔹 تعریف KPI: سنجهای کمّی برای ردیابی اهداف کلیدی. 🔹 کاربرد و ضرورت: چرا بدون شاخصها، تصمیمات شما صرفاً بر اساس حدس و گمان خواهد بود.…
✅در ماتریس ۹ خانهای (9 Box Grid)، کارکنان بر اساس دو بعد کلیدی یعنی عملکرد فعلی (محور افقی X) و پتانسیل رشد در آینده (محور عمودی Y) ارزیابی و دستهبندی میشوند.
برای اینکه ارزیابی شما دقیق، عادلانه و به دور از سوگیریهای شخصی مدیران باشد، فرآیند اندازهگیری هر یک از این دو بعد به شکل زیر تعریف میشود:
1️⃣ اندازهگیری عملکرد فعلی (محور افقی)
این بعد نشان میدهد که کارمند در حال حاضر تا چه حد وظایف محوله و اهداف نقش …
ماتریس ۹ خانهای یک ابزار مدیریت استعداد است که کارکنان را بر اساس دو بُعد عملکرد فعلی و پتانسیل رشد آینده در ۹ گروه دستهبندی میکند. این مدل به سازمانها کمک میکند تا برای توسعه فردی، ارتقای شغلی و برنامهریزی جانشینپروری تصمیمات عینی و دقیقتری بگیرند.
✅ما را به دوستان خود معرفی کنید:
🆔@growthbrief
راهنمای جامع و عملیاتی: چگونه برای سازمان OKR بنویسیم و آن را ارزیابی کنیم؟
بسیاری از سازمانها برای فرار از بروکراسی کُند و افزایش چابکی تیمی به سراغ چارچوب OKR (اهداف و نتایج کلیدی) میروند؛ ابزاری که اولین بار توسط اندی گروو در اینتل ابداع شد و بعدها با سرمایهگذاری جان دوئر در گوگل، به استاندارد طلایی مدیریت در سیلیکونولی تبدیل گردید.
اما نوشتن OKR به صورت نادرست میتواند آن را به یک «لیست وظایف روزمره» بیروح …
راهنمای جامع و عملیاتی: چگونه برای سازمان OKR بنویسیم و آن را ارزیابی کنیم؟ (بخش دوم)
بسیاری از سازمانها برای فرار از بروکراسی کُند و افزایش چابکی تیمی به سراغ چارچوب OKR (اهداف و نتایج کلیدی) میروند؛ ابزاری که اولین بار توسط اندی گروو در اینتل ابداع شد و بعدها با سرمایهگذاری جان دوئر در گوگل، به استاندارد طلایی مدیریت در سیلیکونولی تبدیل گردید.
اما نوشتن OKR به صورت نادرست میتواند آن را به یک «لیست وظایف روزمر…
👍2
Showing the 12 most recent of 20 posts we hold for @growthbrief. 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 — 736,965 of 1,478,351entries 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
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.
Mentions
Named by 1 registered channel — 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.
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.
“در مسیر توسعه” (@growthbrief), 1,175 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/growthbrief.
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.