Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 19 August 2026 and assigned it the closest of 31 fixed categories, at 49% 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
30 measurements spanning 43 days, net -157. 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 17,878–18,083 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 30
Measured (UTC)
Subscribers
Change
17 Sept 2026, 13:39
17,902
-7
15 Sept 2026, 10:21
17,909
-6
13 Sept 2026, 17:55
17,915
-12
11 Sept 2026, 21:01
17,927
-9
9 Sept 2026, 13:18
17,936
-15
6 Sept 2026, 08:36
17,951
-13
4 Sept 2026, 03:37
17,964
-5
2 Sept 2026, 18:16
17,969
-7
1 Sept 2026, 20:06
17,976
-3
29 Aug 2026, 19:35
17,979
-8
28 Aug 2026, 17:11
17,987
-2
27 Aug 2026, 15:13
17,989
-5
26 Aug 2026, 16:24
17,994
-1
25 Aug 2026, 18:36
17,995
-5
24 Aug 2026, 20:25
18,000
-3
23 Aug 2026, 05:14
18,003
-3
21 Aug 2026, 18:26
18,006
-4
20 Aug 2026, 17:37
18,010
-5
19 Aug 2026, 18:44
18,015
-4
17 Aug 2026, 18:48
18,019
first reading
Engagement
30 posts held, back to 15 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 57 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
8.12%
avg views ÷ 17,902 subscribers
Avg views / post
1,450
4 posts measured
Reaction rate
1.02%
reactions ÷ views · ER floor
Posts in window
4
of 30 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 2 September 2026
Posts held
30 (15 July 2026 – 2 September 2026)
Views total
5,812
Reactions total
59
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 08:58 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.
What this channel posts
Video runtime
12m 26s
Average length
1m 33s
Measured directly from 8 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
630 reactions across 29 posts, in 5 distinct kinds. The most used accounts for 51.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
325
51.6%
❤
266
42.2%
👎
17
2.70%
🤔
16
2.54%
🐳
6
0.952%
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 29 of the 30 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 630 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 30 most recent posts we hold, published 15 July 2026 to 2 September 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.
💥 چرا سرمایهگذاران بزرگ اینقدر کمیاباند؟ ترکیبی از مهارت، شخصیت و شانس
اکونومیست در تحلیلی تازه به این پرسش پرداخته که چه چیزی یک سرمایهگذار معمولی را به یک مدیر سرمایهگذاری بزرگ تبدیل میکند. پاسخ برخلاف تصور رایج، فقط هوش مالی، تحلیل بازار یا دسترسی به اطلاعات نیست؛ سرمایهگذاران استثنایی محصول ترکیبی نادر از مهارت، ویژگیهای شخصیتی و البته مقداری شانس هستند. حتی انتخاب سبک درست سرمایهگذاری میتواند به زمان…
💥 هشدار بیل گیتس درباره سرعت تغییرات بازار کار در عصر هوش مصنوعی
مجری:
«شما در مقالهتان استدلال میکنید که در بسیاری از تغییرات فناورانه گذشته، از دست رفتن شغلها طی یک دوره زمانی طولانیتر اتفاق افتاده؛ در بعضی موارد حتی طی چندین نسل.
اما این بار با هوش مصنوعی، این از دست رفتن شغلها خیلی سریعتر و یکباره اتفاق خواهد افتاد.»
بیل گیتس، بنیانگذار مایکروسافت:
«بله، این اتفاق در تمام بخشهای اقتصاد رخ خواهد داد؛ د…
💥ترسناکترین آدم توی یک جامعه، یه آدم احمق نیست.
جمعیته.
یک آدم نادون، خطر بزرگی نیست.
میتونی نادیدهش بگیری، ردش کنی، اصلاحش کنی.
ولی وقتی همون فکر خام، همون حرف بیپایه، توسط هزاران نفر تکرار میشه، دیگه بحثِ درست و غلط نیست.
بحثِ اینه که «چند نفر باورش کردن؟»
جمعیت دنبال حقیقت نمیگرده.
نگاه میکنه بقیه چی میگن، بعد همون رو با صدای بلندتر تکرار میکنه.
مثل پلی که یک ستونش ترک برداشته.
ترک، بهتنهایی پل رو ناب…
💥خستگی خبری چیست؟
خستگی خبری (News Fatigue) حالتی است که فرد بر اثر قرار گرفتن مداوم در معرض اخبار، بهویژه اخبار منفی، دچار خستگی ذهنی و بیتفاوتی میشود. در این وضعیت، حتی اگر خبر مهمی منتشر شود، فرد دیگر تمایل یا انرژی لازم برای دنبال کردن آن را ندارد.
نشانههای رایج آن عبارتاند از:
احساس خستگی یا اضطراب بعد از خواندن اخبار
بیعلاقگی به پیگیری رویدادهای جدید
اجتناب از باز کردن سایتها یا شبکههای خبری
کاهش …
💥 آینده ای که چندان زیبا به نظر نمیرسد!
بشر از بدو خلقت نیاز به باشگاه نداشت. فعالیت فیزیکی انقدر زیاد بود که مفهوم ورزش برای سلامتی بدن وجود نداشت. باشگاه محصول فقدان کار فیزیکی روزمره بود.
حالا اگر ai جای شما فکر کنه، در آینده «فکرکردن» هم میشه بخشی از برنامه باشگاه. باید برید باشگاه یه کم فکر کنید.
/روحیه
📚 ایستارتاپس 👇
🆔 @eastartups 🎯
💥 روش های بهبود رتبه اعتباری
برای گرفتن وام، اعتبار خرید یا حتی حذف ضامن، فقط میزان دارایی مهم نیست؛ چیزی که بانکها و لندتکها نگاه میکنن، سابقه خوشحسابی شماست.
رتبه اعتباری معمولاً بین ۲۵۰ تا ۹۰۰ امتیاز داره و از A1 تا E3 دستهبندی میشه؛ هرچقدر به A1 نزدیکتر باشی، شانس بیشتری برای گرفتن تسهیلات با شرایط بهتر داری.
برای بهتر شدن رتبه اعتباری:
- اقساط وام و خریدهای اعتباری رو سر موعد پرداخت کن.
- چک برگشتی …
💥 چرا باید احساسات خود را نامگذاری کنیم و به زبان بیاوریم؟
وقتی احساسات خود را نامگذاری میکنید و آنها را به زبان میآورید؛
مثلاً میگویید: «الان عصبانیام»، «ناامیدم»، «مضطربم»، «وحشتزدهام»، «از این موضوع احساس انزجار دارم» یا «غمگینم»،
فعالیت آمیگدال (مرکز هشدار مغز) کاهش مییابد و مغز راحتتر میتواند هیجان را تنظیم کند.
احساساتی که سرکوب میشوند، معمولاً از بین نمیروند؛ بلکه استرس و فشار روانی را افزایش …
💥 هوش مصنوعی بهتر مینویسد؛ انسان باید بهتر ویرایش کند
اکونومیست در گزارشی تازه مینویسد مدلهای هوش مصنوعی با سرعتی بالا در تولید متن پیشرفت کردهاند و ممکن است در چند سال آینده به سطح نویسندگان حرفهای نزدیک شوند؛ اما همین پیشرفت، مهارت انسانی تازهای را مهمتر میکند: ویرایش دقیق، انتقادی و هدفمند.
مسئله اصلی دیگر فقط این نیست که هوش مصنوعی میتواند متن بنویسد یا نه. چالش تازه این است که بسیاری از متنهای تولی…
💥 اعتیادآورترین بخش شبکههای اجتماعی، خودِ محتوا نیست؛ بلکه «ندانستنِ پست بعدی» است.
بیشتر ما تصور میکنیم دلیل اعتیاد به شبکههای اجتماعی، ترشح زیاد دوپامین است. اما علوم اعصاب داستان دیگری را روایت میکند:
مشکل اصلی غیرقابلپیشبینی بودن پاداش است.
هر بار که صفحه را اسکرول میکنید، مغز نمیداند قرار است چه چیزی ببیند:
یک پیام مهم؟
یک لایک جدید؟
یک ویدیوی جذاب؟
یا شاید؟ همین «شاید» باعث فعال شدن سیستم پاداش م…
👍13❤7🤔1
Signed Hossein Moradi
Showing the 12 most recent of 30 posts we hold for @eastartups. 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
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 10 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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
اقتصاد به زبان ساده @eghtesaderooz · 55,846 Telegram ranks this channel #10 of 95 here — alongside 94 others — read 22 August 2026
آکادمی مدیریت @pmacademy · 34,089 Telegram ranks this channel #13 of 92 here — alongside 91 others — read 5 September 2026
مهندس سلام | HiEng.ir @hieng · 31,272 Telegram ranks this channel #15 of 84 here — alongside 83 others — read 6 September 2026
علوم اجتماعی،مسائل روز @social_science · 23,976 Telegram ranks this channel #16 of 90 here — alongside 89 others — read 17 September 2026
شبکه توسعه @I_D_Network · 38,829 Telegram ranks this channel #18 of 98 here — alongside 97 others — read 31 August 2026
ترجمان علوم انسانى @tarjomaanweb · 42,992 Telegram ranks this channel #27 of 96 here — alongside 95 others — read 29 August 2026
ترفند مدیریت @tarfandemodiriat · 103,553 Telegram ranks this channel #27 of 94 here — alongside 93 others — read 15 August 2026
ایکونیتور - خبرخوانرسمی اقتصادی @econator · 544,237 Telegram ranks this channel #28 of 87 here — alongside 86 others — read 11 September 2026
مدیران ایران | آموزش مدیریت کسب وکار |modiriran 🕊 @modiriran · 34,367 Telegram ranks this channel #30 of 94 here — alongside 93 others — read 2 September 2026
پیج خلاقیت™ @page_khalaghiat · 42,773 Telegram ranks this channel #31 of 78 here — alongside 77 others — read 29 August 2026
مدیریت رفتار سازمانی @organizationalbehavior · 31,684 Telegram ranks this channel #35 of 96 here — alongside 95 others — read 5 September 2026
هاتف سیدپور @hatef_invest · 147,253 Telegram ranks this channel #36 of 85 here — alongside 84 others — read 6 September 2026
جمع مدیران نامدار ایران @excellentmanagers · 27,403 Telegram ranks this channel #37 of 93 here — alongside 92 others — read 11 September 2026
Keep Smiling @pics_net · 44,502 Telegram ranks this channel #40 of 75 here — alongside 74 others — read 28 August 2026
میلیاردر @milyarder · 50,203 Telegram ranks this channel #41 of 72 here — alongside 71 others — read 25 August 2026
Instrumentallist (موزیک لایت) @instrumentallist · 30,994 Telegram ranks this channel #42 of 74 here — alongside 73 others — read 6 September 2026
مجله دیالکتیک @dialecticofsolitude · 36,340 Telegram ranks this channel #44 of 88 here — alongside 87 others — read 1 September 2026
انجمن مدیران @managersclub · 167,504 Telegram ranks this channel #50 of 86 here — alongside 85 others — read 15 August 2026
بازاریابی، مذاکره تجاری و فروش @lect_negotio · 23,226 Telegram ranks this channel #53 of 82 here — alongside 81 others — read 18 September 2026
اكونوميست فارسی @economistfarsi · 22,690 Telegram ranks this channel #55 of 96 here — alongside 95 others — read 20 September 2026
بنیاد فرهنگ زندگی ـ سهیل رضایی @bonyadfarhangzendegi · 36,666 Telegram ranks this channel #56 of 82 here — alongside 81 others — read 1 September 2026
Book_tips @book_tips · 21,845 Telegram ranks this channel #57 of 78 here — alongside 77 others — read 22 September 2026
گفت و چای | فهیم عطار @fahimattar · 43,042 Telegram ranks this channel #76 of 96 here — alongside 95 others — read 28 August 2026
This channel appears in 23 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“ایستارتاپس | حسین مرادی” (@eastartups), 17,902 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/eastartups.
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.