4 measurements spanning 7 days, net +52. 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 766–834 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 02:48
826
+51
6 Aug 2026, 15:38
775
no change
6 Aug 2026, 06:30
775
+1
6 Aug 2026, 02:46
774
first reading
Engagement
11 posts held, back to 7 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
46.7%
avg views ÷ 826 subscribers
Avg views / post
386
8 posts measured
Reaction rate
0.756%
reactions ÷ views · ER floor
Posts in window
8
of 11 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 7 of 8 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 6 August 2026
Posts held
11 (7 July 2026 – 6 August 2026)
Views total
3,088
Reactions total
20
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Aug 2026, 15:38 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
32 reactions across 10 posts, in 3 distinct kinds. The most used accounts for 46.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
15
46.9%
👍
15
46.9%
👎
2
6.25%
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 10 of the 11 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 32reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 11 most recent posts we hold, published 7 July 2026 to 6 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.
فراخوان اقامت در فرانسه با اولویت برای فعالان ایرانی در مد
" انستیتو فرانسه" و "سیته هنرهای بین المللی پاریس" از هنرمندان ایرانی برای حضوری سه ماه در فرانسه دعوت کرده است.
🌟 رشته مد برای متقاضیان ایرانی، جزو اولویت ها است.
🌟آخرین مهلت برای ارسال رزومه : ۱۴ شهریور ۱۴۰۵
🌟 فایل pdf راهنما، به زبان فارسی، پیوست شده و جزئیات و مدارک درخواستی رو توضیح داده. دانلود و مطالعه کنید.
👗🧥 این پست رو برای فعالان و متخصصان …
فیگور هفتهزارساله اندیشمند
پیکره سفالی با نام #اندیشمند_چرناوودا (Thinker of Cernavoda) به طول ۱۱ سانتیمتر در سال ۱۹۵۶ میلادی در رومانی کشف شد. تاریخ این پیکره به حدود هفت هزار سال پیش برمیگردد.
این تندیس متعلق به فرهنگ باستانی «همنجیا» (Hamangia) در جنوب شرقی اروپا (امروزه رومانی و بلغارستان) است.
این پیکره با سرِ کوچک، زاویهدار و ماسکمانند است و چشمها نسبت به صورت بزرگ و به صورت فرورفتگیهایی در صورت حکاکی…
راه ورود به عرصه جهانی مد
هر ساله، سمینارهای تخصصی مد در اروپا برگزار می شود و این کنفرانسها یکی از مسیرهای مهم جهت ورود فعالان مد، از آموزش و پژوهش گرفته تا تجارت و معرفی برندها، به عرصه جهانی فشن است.
این کنفرانس ها ارتباط با رهبران صنعت فشن، ارائه آثار و ایجاد شبکه طراحان را فراهم می کند و می توانید با هزاران طراح مد از بیش از ۶۰ کشور جهان ارتباط بگیرید. متخصصان به طرح ایده ها، تجربیات، و گفت و گو درباره ترندها…
آیا #مد_آهسته (Slow Fashion) امکان تعامل با #مد_سریع (Fast Fashion) را دارد؟
مد سریع به مکان های دورافتاده ای مثل روستاهای چین هم راه یافته است؛ هرچند این به معنای از بین رفتن الگوها و سبکهای تاریخی نیست. در این پادکست داستان طراح چینی ساکن نیویورک را بشنوید که برای آموختن روشهای سنتی دوخت و دوز به روستاهای دورافتاده چین سفر می کند. او با استفاده از الگوهای بافت و تکنیک های رنگ آمیزی بومی و باستانی چین، مجموعه لبا…
من ادعا می کنم که در مد، هیچ سنتی وجود ندارد جز تغییر سلیقه، هرچند که مد به نظر دایره ای است و گرایشی به بازگشت به سلیقه های گذشته را نشان می دهد. سلیقه در مد، اکثرا خودمختارانه نیست، حتی برای شورشیان خودآگاه یا ناخودآگاهی که مد دیروز یا دوران جوانی شان را امروز می پوشند. مد واقعی، دنباله روی کردن از جماعت نیست، بلکه پیش بینی جماعت است. تا آن زمان که یک سبک مورد پسند عامه قرار بگیرد، متخصص واقعی مد پیش رفته است و سب…
بندانداختن در مدرسه زیبایی لندن
📺 گزارشی تلویزیونی در سال ۱۹۵۷ میلادی (۱۳۳۵ شمسی) مهارتهای آرایشی یک "مدرسه زیبایی" در محله ثروتمند کنزینگتون در لندن را نشان می دهد.
براساس این گزارش، خانمی به نام ژاله خامسی از ایران، روش سنتی "بندانداختن" را برای خانم های انگلیسی انجام می دهد. گزارشگر توضیح می دهد که این شیوه آرایشی ایرانی دردآور و چندان خوشایند مشتریان نیست.
📺 برای تماشای آنلاین گزارش از لینک زیر استفاده کنید:
…
https://t.me/F_t_his
آشناترین شکل مد پوشاک است، (اما) تقریبا همه چیز می تواند مدگرایانه شود: انسان ها، رنگ ها، حیوانات، نظرات، سبک های هنری، مکان و حالات رفتاری. حتی ایدئولوژی های سیاسی، نظریات علمی و آداب خاکسپاری.
📚آنیا فارنیکووا و جسی پرینز، مقاله "چه چیزی شی را مدگرایانه می کند؟" ، از کتاب: مد و فلسفه، اندیشیدن با سبک، جسیکا وولفندیل و جنت کنت، ترجمه ریحانه صارمی. نگارستان اندیشه.
https://t.me/F_t_his
👍2
Signed Farhad Hajari
Showing the 11 most recent of 11 posts we hold for @F_t_his. 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 — 1,014,539 of 1,189,255entries 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.
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.
“تاریخ و فلسفه مد” (@F_t_his), 826 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/F_t_his.
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.