Telegram RegisterThe public register of Telegram

Channel

فرزین وفائی نژاد

@farzinvafaeinezhad

On this record: Growth · Engagement · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

198subscribers

+1 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-1001110069383
TypeChannel
Username@farzinvafaeinezhad
CreatedBetween 1 February 2017 and 31 July 2018— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live13 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/farzinvafaeinezhad

Growth

197198197.56 August 2026 — 197 subscribers7 August 2026 — 197 subscribers13 August 2026 — 198 subscribers6 August 202613 August 2026
3 measurements spanning 8 days, net +1. 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 197–198 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 15:08198+1
7 Aug 2026, 04:33197no change
6 Aug 2026, 02:30197first reading

Engagement

15 posts held, back to 23 February 2026the 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
10.3%
avg views ÷ 198 subscribers
Avg views / post
20.3
3 posts measured
Reaction rate
4.76%
reactions ÷ views · ER floor
Posts in window
3
of 15 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 1 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 5 August 2026
Posts held15 (23 February 20265 August 2026)
Views total61
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 04:33 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

10 reactions across 7 posts, in 4 distinct kinds. The most used accounts for 40.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👏440.0%
330.0%
👍220.0%
🥰110.0%

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 7 of the 15 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 10reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 15 most recent posts we hold, published 23 February 2026 to 5 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.

Recent posts

5 Aug 2026, 06:59 UTC21 views1 reactionsread 7 August 2026

👆ادامه (هنر اقناع سازی با تاکید بر اثربخشی روایت) اصل دیگری که بسیار مهم است که سبب بیشترین پذیرش اجتماعی و همخوانی فرهنگی می شود، روایتی پیروزمندانه است که با باورها، ارزش‌ها، تجربیات قبلی و با حافظه جمعی مخاطبان همخوانی بیشتری داشته باشد و همسوتر جلوه کند. این بدان معنی نیست که لزوما چیزی که برای راوی مهم و ارزش آفرین است از سوی مخاطب هم مورد پذیرش و هم ارزش باشد. زیرا مخاطب بدنبال سادگی واقعی، جذاب و احساسی بو

👏1

Signed farzin vafaei nezhad

5 Aug 2026, 06:57 UTC21 viewsread 7 August 2026

«هنر اقناع سازی با تاکید بر اثربخشی روایت» #فرزین_وفائـےنژاد «جنگ روایت‌ها»(War of Narratives) در دوران اشباع و بمباران اطلاعاتی بویژه خبرهای زرد و خاکستری ، نبردها دیگر صرفاً در میدان‌های عملیاتی نظامی و امنیتی و با جنگ افزارها تعریف نمی‌شوند. در دورانی که لشکرهای سایبری و توان اقناع سازی بویژه مدیریت افکار عمومی در دست اینفلونسرها و شهروند خبرنگاران است و اقبال جامعه به این نوع گزارش های میدانی بیشتر شده است،

Signed farzin vafaei nezhad

5 Aug 2026, 06:54 UTC19 viewsread 7 August 2026
Photo

- همواره این سوال مطرح است؛ آیا هر انتشار اولی بعنوان پیروز جنگ روایت هاست؟ - آیا هر بیان، گزارش یا خبر اقناع کننده جریان فکری جامعه هست؟ - و از همه مهمتر آیا پیروز میدان رسانه، سازمانی هست که خط اول اخبار را به خود اختصاص دهد و با تاکید بر تکرار و اشباع فضای ارتباطی تلاش کند، فضا را در اختیار بگیرد. #فرزین_وفائـےنژاد @farzinvafaeinezhad

Signed farzin vafaei nezhad

4 Jun 2026, 13:34 UTC81 viewsread 7 August 2026

ادامه از 👇 سوگنامه ای بنام روابط عمومی #فرزین_وفائـےنژاد روابط عمومی در اندیشه‌های کلاسیک مدیریت ارتباطات، معماری اعتماد است؛ هنر طراحی نقشه ارتباطی سازمان با جامعه، با کارکنان و با آینده است، اما آنچه امروز در بسیاری از سازمان‌ها می‌بینیم، نه معماری ارتباط، بلکه اداره‌ای برای انتشار خبر، تنظیم گزارش و گاه پاسخ‌های عجولانه به بحران‌هایی است که خود حاصل فقدان ارتباطات حرفه‌ای‌اند. بخش بزرگی از این زوال، از جایی آغاز

Signed farzin vafaei nezhad

4 Jun 2026, 13:32 UTC62 viewsread 7 August 2026
Photo

سوگنامه ای بنام روابط عمومی #فرزین_وفائـےنژاد روابط عمومی دانشگاه صنعتی اراک 🔻بیست و یک سال از آیین نامه ارتقای روابط عمومی در دستگاه های دولتی گذشت و آنچه که باید می شد، نشد. یک روز بهانه نبود بودجه و یک روز با عنوان تغییر ساختار و یک روز با دستورالعمل سازمان استخدامی و باز بهانه حقوق و دستمزد یا کوچک سازی دولت و بودجه انقباضی حوزه روابط عمومی را قربانی عروسی و عذای مدیران نامدیر می کند. هر بار به روز «روابط عمو

Signed farzin vafaei nezhad

1 Jun 2026, 06:38 UTC73 views1 reactionsread 7 August 2026
File

File, posted without a caption

1

Signed farzin vafaei nezhad

1 Jun 2026, 06:38 UTC73 viewsread 7 August 2026
File

File, posted without a caption

Signed farzin vafaei nezhad

1 Jun 2026, 05:19 UTC75 viewsread 7 August 2026

در حوزه روابط عمومی، اهمیت این رویکرد تنها به افزایش تعامل محدود نمی‌شود.ترکیب UGC و Gamification می‌تواند به شکل‌گیری «فرهنگ برند» منجر شود؛ فرهنگی که در آن، مخاطبان خود را عضوی از جامعه برند می‌دانند و به‌صورت داوطلبانه در توسعه اعتبار و روایت سازمان مشارکت می‌کنند. در نهایت، آینده مدیریت ارتباطات سازمانی بر پایه «مشارکت واقعی مخاطب» شکل خواهد گرفت. سازمان‌هایی که بتوانند مخاطب را از یک دنبال‌کننده منفعل به سفیر ف

Signed farzin vafaei nezhad

1 Jun 2026, 05:19 UTC59 viewsread 7 August 2026

روابط عمومی برندآفرین «مخاطب، سفیر برند سازمان با بهره گیری از ابزارهای UGC و Gamification» #فرزین_وفائـےنژاد در گشایش دروازه های انقلاب پنجم صنعتی و در اکوسیستم ارتباطات دیجیتال، نقش مخاطب از «دریافت‌کننده پیام» به «مشارکت‌کننده در ساخت روایت برند» تغییر یافته است. سازمان‌ها و واحدهای روابط عمومی دیگر تنها تولیدکننده محتوا نیستند؛ بلکه مدیریت تجربه، مشارکت و تعامل مخاطبان را برعهده دارند. در این میان، دو ابزار ر

Signed farzin vafaei nezhad

1 Jun 2026, 04:50 UTC42 viewsread 7 August 2026
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✍️ تایید و انتشار مقاله « روابط عمومی برندآفرین » به قلم #فرزین_وفائـےنژاد در بیست‌ونهمین شماره ماهنامه «راهبرد ارتباطات و روابط عمومی» بیست‌ونهمین شماره ماهنامه تخصصی ترویجی «راهبرد» با مجموعه‌ای از مقالات و یادداشت‌های تخصصی در حوزه روابط عمومی، مدیریت بحران، اعتمادآفرینی، سرمایه اجتماعی و ارتباطات انسانی با شعارِ «سرمایه‌های نمادین ایران؛ ستون‌های استوار خانواده روابط عمومی» منتشر شد. #هیچ_اتفاقی_اتفاقی_اتفاق_نم

Signed farzin vafaei nezhad

26 May 2026, 23:57 UTC75 views1 reactionsread 7 August 2026

✅ ۵ چرا؟ ابزار ساده، علت‌یابی عمیق «۵ چرا» یک روش تفکر سیستمی برای رسیدن به ریشه واقعی مشکل است. با پرسیدن متوالی «چرا؟» به‌جای درمان سطحی، به علت اصلی (ریشه‌ای) می‌رسیم. همواره این سوال مطرح است که این ابزار چگونه کار می‌کند؟ به‌جای تمرکز روی علائم ظاهری، لایه‌های مسئله را مثل پوست کندن پیاز باز می‌کنیم تا به علت ریشه‌ای برسیم. 🔴مراحل الگوی ۵ چرا برای کشف علت چرا ۱؟ علت ظاهری / اولیه چیست؟ چرا ۲؟ چرا آن اتفاق

👍1

Signed farzin vafaei nezhad

26 May 2026, 23:42 UTC70 views1 reactionsread 7 August 2026
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✅ ۵ چرا؟ ابزار ساده، علت‌یابی عمیق «۵ چرا» یک روش تفکر سیستمی برای رسیدن به ریشه واقعی مشکل است. با پرسیدن متوالی «چرا؟» به‌جای درمان سطحی، به علت اصلی (ریشه‌ای) می‌رسیم. همواره این سوال مطرح است که این ابزار چگونه کار می‌کند؟ به‌جای تمرکز روی علائم ظاهری، لایه‌های مسئله را مثل پوست کندن پیاز باز می‌کنیم تا به علت ریشه‌ای برسیم. #هیچ_اتفاقی_اتفاقی_اتفاق_نمی_افتد #فرزین_وفائـےنژاد @farzinvafaeinezhad

👍1

Signed farzin vafaei nezhad

Showing the 12 most recent of 15 posts we hold for @farzinvafaeinezhad. 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 — 750,923 of 1,350,102entries 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.

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.

“فرزین وفائی نژاد” (@farzinvafaeinezhad), 198 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/farzinvafaeinezhad.

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.