هدف گاهنامه مدیر، ارتقاء دانش و بینش مخاطبان (هوش راهبردی) از طریق نشر پیامهای دارای مضامین مدیریتی، اقتصادی، اجتماعی و فرهنگی است.
بنیانگذار: دکتر مهدی صانعی
اینستاگرام: gahname_modir
Created
17 January 2017 — measured — cross-checked against a third-party dataset (TGDataset)
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 9 September 2026 and assigned it the closest of 31 fixed categories, at 84% 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 the other topics.
Growth
64 measurements spanning 98 days, net -805. 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 32,591–33,638 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)
Subscribers
Change
12 Nov 2026, 06:08
32,712
-12
10 Nov 2026, 08:00
32,724
-8
8 Nov 2026, 17:47
32,732
-6
7 Nov 2026, 09:36
32,738
-18
6 Nov 2026, 09:18
32,756
-16
5 Nov 2026, 11:29
32,772
-2
4 Nov 2026, 12:35
32,774
-10
3 Nov 2026, 12:59
32,784
-6
2 Nov 2026, 11:31
32,790
-11
1 Nov 2026, 11:25
32,801
-14
31 Oct 2026, 11:08
32,815
-10
30 Oct 2026, 12:16
32,825
-10
29 Oct 2026, 15:39
32,835
-21
28 Oct 2026, 13:28
32,856
-7
27 Oct 2026, 11:07
32,863
-18
26 Oct 2026, 08:16
32,881
-11
25 Oct 2026, 05:06
32,892
-6
24 Oct 2026, 05:11
32,898
-13
23 Oct 2026, 07:54
32,911
-9
22 Oct 2026, 09:19
32,920
first reading
Engagement
372 posts held, back to 4 August 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 180 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
5.47%
avg views ÷ 32,712 subscribers
Avg views / post
1,790
73 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
73
of 372 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 14 November 2026
Posts held
372 (4 August 2026 – 14 November 2026)
Views total
130,531
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
14 Nov 2026, 20:14 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
Photos
≈1,510
Videos
≈1,400
Links
≈6,720
Lifetime counters from Telegram’s own channel header, read 14 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
10h 04m
Average length
23m 16s
Measured directly from 26 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.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 73 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
🌱 روی روشن دادهها؛ استفاده از شناخت برای بهتر زیستن. ماتز برخلاف دیدگاههایی که تمام کاربردهای دادههای شخصی را تهدیدآمیز میدانند، معتقد است این اطلاعات میتوانند در خدمت بهبود زندگی انسان نیز قرار گیرند. شناخت دقیقتر نیازها و ویژگیهای افراد، امکان طراحی مداخلاتی را فراهم میکند که به سلامت روان، تصمیمهای مالی بهتر و حتی کاهش شکافهای سیاسی کمک کنند. برای نمونه، اگر بدانیم چه نوع پیامی برای تشویق افراد به پساند…
مالکان ذهن؛ پیشبینی و تغییر رفتار انسان با دانش دادههای بزرگ
👈 مروری بر کتاب «مالکان ذهن» (Mindmasters: The Data-Driven Science of Predicting and Changing Human Behavior) اثر ساندرا ماتز (Sandra Matz).
نشر: گاهنامه مدیر
🧠 تصور کنید شرکتی بدون آنکه شما را از نزدیک بشناسد، بتواند از روی رفتارهای روزمرهتان در فضای مجازی، ویژگیهای شخصیتی، علایق، نگرانیها و حتی نیازهای پنهانتان را تشخیص دهد. بداند چه چیزی شما را به…
🔗 *حفظ همراهی؛ ارتباطهای مطلوب ایجاد کنید.* هفتمین و آخرین گام، حفظ پذیرش و همراهی مخاطب است. کلندا در این بخش بر ایجاد تداعیهای مطلوب تأکید میکند. هنگامی که یک پیام، محصول یا رفتار با تجربهها و احساسات مثبت پیوند پیدا کند، احتمال شکلگیری نگرش مثبت نسبت به آن افزایش مییابد.
🏁 *پیام اصلی کتاب:*
📌 کلندا نشان میدهد که متقاعدسازی فرایندی چندمرحلهای است و شناخت سازوکارهای ذهن انسان میتواند قدرت تأثیرگذاری را افز…
اصول متقاعدسازی؛ هفت گام روانشناختی برای نفوذ و تأثیرگذاری بیشتر بر دیگران.
👈 مروری بر کتاب «اصول متقاعدسازی؛ نفوذ و تأثیرگذاری بیشتر بر دیگران» (Methods of Persuasion: How to Use Psychology to Influence Human Behavior) اثر نیک کلندا (Nick Kolenda).
*نشر:* گاهنامه مدیر
🔥 *چرا بعضی پیامها بهسرعت پذیرفته میشوند، اما برخی دیگر با بیتفاوتی یا مقاومت روبهرو میشوند؟* چرا گاهی افراد بدون آنکه متوجه شوند، تحت تأثیر …
✨ فصاحت و شیوایی. عنصر نهم و نیم، به توانایی بیان شیوا و اثرگذار مربوط است. گیتومر در پایان کتاب، مخاطب را به توجه به تعالی و شیوایی در بیان دعوت میکند. تسلط بر شیوه انتقال افکار و انتخاب درست کلمات، میتواند قدرت متقاعدسازی را افزایش دهد.
🏁 پیام اصلی کتاب:
📌 متقاعدسازی مهارتی است که باید آن را آموخت، تمرین کرد و به سطح تسلط رساند. گیتومر با معرفی ۹٫۵ عنصر، از آمادگی ذهنی و اصول اولیه آغاز میکند، به مبانی متقاعدسا…
هنر متقاعد کردن دیگران؛ ۹٫۵ اصل برای رسیدن به خواستهها
👈 مروری بر کتاب «کتاب کوچک سبز برای رسیدن به خواستهها» (Jeffrey Gitomer’s Little Green Book of Getting Your Way: How to Speak, Write, Present, Persuade, Influence, and Sell Your Point of View to Others) اثر جفری اچ. گیتومر (Jeffrey H. Gitomer).
*نشر:* گاهنامه مدیر
🔥 چرا بعضی افراد همیشه میتوانند حرف خود را به کرسی بنشانند؟ چرا برخی در مذاکره، فروش، سخنرانی و…
🔍 *مسئله استقرا؛ گذشته، تضمینکننده آینده نیست.* یکی دیگر از مباحث اساسی کتاب، مسئله استقرا Problem of Induction است. اینکه رویدادی بارها در گذشته اتفاق افتاده، تضمین نمیکند که در آینده نیز به همان شکل تکرار شود. طالب با اشاره به مسئله بوقلمون، نشان میدهد حیوانی که هر روز غذا دریافت میکند، ممکن است از تکرار این تجربه به این نتیجه برسد که آینده نیز همینگونه خواهد بود؛ اما روزی که برای قربانیشدن انتخاب میشود، تما…
فریبخورده تصادف؛ فهمیدم چطور داشتم فریب میخوردم!
👈 مروری بر کتاب «فریبخورده تصادف» (Fooled by Randomness: The Hidden Role of Chance in Life and in the Markets) اثر نسیم نیکولاس طالب (Nassim Nicholas Taleb).
*نشر:* گاهنامه مدیر
💡 تصور کنید دو نفر در بازارهای مالی سرمایهگذاری میکنند. یکی با دانش و تحلیل و دیگری بر اساس حدس و شانس. هر دو سود میکنند. کدامیک موفقتر است؟ از بیرون، تشخیص تفاوت آنها دشوار است. اما …
برای مثال، وقتی مدیری بهجای پاسخ دادن به پیشنهاد یک کارشناس، سابقه یا شخصیت او را زیر سؤال میبرد، مرتکب مغالطه حمله به شخص شده است. یا وقتی مسئلهای پیچیده را به دو انتخاب محدود میکند؛ «یا با این تصمیم موافقید یا مخالف پیشرفت سازمان هستید»، با دوگانه کاذب مواجهیم. شناخت این خطاها به ما کمک میکند استدلالهای فریبنده را تشخیص دهیم و خودمان نیز گرفتار آنها نشویم.
🏁 پیام اصلی کتاب:
منطقی بودن به معنای همیشه درست فکر…
منطقی فکر کنید؛ قبل از آنکه تصمیم بگیرید!
👈 مروری بر کتاب «منطقی بودن؛ راهنمایی برای خوب اندیشیدن» Being Logical: A Guide to Good Thinking اثر دی. کیو. مکاینرنی D. Q. McInerny.
*نشر:* گاهنامه مدیر
💡 گاهی یک تصمیم اشتباه، نه از کمبود اطلاعات، بلکه از یک سؤال اشتباه آغاز میشود. مدیری که کاهش فروش را به ضعف کارکنان نسبت میدهد، ممکن است هرگز به کیفیت محصول، سیاست قیمتگذاری یا تغییر رفتار مشتریان توجه نکند. کسی که ب…
Showing the 12 most recent of 372 posts we hold for @gahname_modir. 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 21 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 4 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
قیمت لحظه ای دلارتهران... @tehran_sabza · 25,960 Telegram ranks this channel #29 of 33 here — alongside 32 others — read 13 September 2026
گلچين @bavarh · 78,490 Telegram ranks this channel #38 of 93 here — alongside 92 others — read 19 August 2026
کتابخانه تلگرام @Library_Telegram · 110,866 Telegram ranks this channel #44 of 89 here — alongside 88 others — read 15 August 2026
انجمن مدیران @managersclub · 147,735 Telegram ranks this channel #53 of 86 here — alongside 85 others — read 15 August 2026
کتابهای ممنوعه @ketab_mamnouee · 79,780 Telegram ranks this channel #78 of 93 here — alongside 92 others — read 19 August 2026
دکتر شیری @drshiri · 97,125 Telegram ranks this channel #81 of 88 here — alongside 87 others — read 16 August 2026
This channel appears in 6 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 12 November 2026 — this
entry's latest reading, not the date you are reading this.
“گاهنامه مدیر(دکتر مهدی صانعی)” (@gahname_modir), 32,712 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/gahname_modir.
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.