Channel
@aminsanayei
On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Domains linked from posts · Cite this entry
45,883subscribers
-106 since we began measuring on 5 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001007290942 |
|---|---|
| Type | Channel |
| Username | @aminsanayei |
| Description | @aminsanayei تگ چنل @aminssg ادمین چنل |
| Created | 5 October 2015 — measured — dated from the channel’s first post |
| First recorded | 5 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/aminsanayei |
Art & design — 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 10 August 2026 and assigned it the closest of 31 fixed categories, at 62% 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.
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Posts published here appear word for word on 1 other registered channel. They sit inside a group of 3 channels that share the same post bodies with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
| Posted first | Then | Overlap | Gap |
|---|---|---|---|
| @Ahmadi_Farzane/61899 Jul 2016, 07:06 UTC | @aminsanayei/6732 · this entry17 Jul 2016, 07:18 UTC | 0.98 | 8 days |
| Channel | Matching posts | Text overlap | Typical gap | Published first |
|---|---|---|---|---|
| @Ahmadi_Farzane | 113 (8/8 hand-verifiable sample passed) | 0.99 | 39 hours | @Ahmadi_Farzane (65–48) |
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 27 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 2,053 comparable posts for this entry, running 5 October 2015 to 30 June 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Across the whole group of 3, the earliest publisher we hold is @Ahmadi_Farzane. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_mutual, last confirmed 6 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
This channel’s posts match, word for word or near enough, posts on 2 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 05:23 | 45,883 | -10 |
| 11 Aug 2026, 07:21 | 45,893 | -18 |
| 10 Aug 2026, 04:26 | 45,911 | -15 |
| 9 Aug 2026, 02:01 | 45,926 | -18 |
| 8 Aug 2026, 00:42 | 45,944 | -18 |
| 6 Aug 2026, 23:17 | 45,962 | -27 |
| 5 Aug 2026, 17:25 | 45,989 | first reading |
7,944 posts held, back to 5 October 2015 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 484 pagesof Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 8 August 2026 |
|---|---|
| Posts held | 7,944 (5 October 2015 – 8 August 2026) |
| Views total | 2,340 |
| Reactions total | 22 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 20:00 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.
Lifetime counters from Telegram’s own channel header, read 12 August 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.
Measured directly from 1 video 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.
562 reactions across 20 posts, in 6 distinct kinds. The most used accounts for 61.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 348 | 61.9% | |
| 👍 | 132 | 23.5% | |
| 👏 | 27 | 4.80% | |
| 👌 | 26 | 4.63% | |
| 💯 | 15 | 2.67% | |
| 🔥 | 14 | 2.49% |
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 663 of the 1,000 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 20,846reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 30 April 2021 to 8 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.
عکس پرتره کلوزاپ تاکید رو چهره یکی از چشمها مشخص و چشم دیگر پنهان نوری که رو چهره نشسته و چهره رو به دو قسمت تقسیم کرده سایه ها به خوبی باز یابی شده چشم تاثیر گذار ثبت و ادیت شده ادیت حرفه ایی این عکس زیبایی عکس و صد چندان کرده عکس به گونه ایی هست که در ذهن تخیل ایجاد کرده و حک شود پرتره ای که لحظه ایی رو نشون میده که در حالت عادی نیست و انگار از یه دنیایی دیگه امده این فیگور معمول و متداول نیست و خوب همین ایجاد لحظ…
👍13🔥5❤2
آموزش عکاسی و نورپردازی پرتره pinned a photo
آموزش رصد و عکاسی بارش شهابی https://t.me/+9FOdp7UJ9os1ZmY0
👏2
استودیو عکس و فیلم صنایعی @sanayeistudio عکاس : امین صنایعی Instagram.com/_u/studio.sanayei.ardebil/
❤9👍4
هنرتو ارزون نفروش ، بجای ارزان فروشی ارزش گذاری کن به مشتری توضیح بده چقدر زمان میزاری برای کارت و هنرت به مشتری توضیح بده کار درجه یک ارزش بالاتری هم داره نکات فنی کارتو توضیح بده برای عکاسی کلی تجهیزات گرون قیمت لازمه مرحله بعدی ادیت هست چقدر زمان میزاری تا عکسا رو ادیت کنی بجای تخفیف های بی دلیل که فقط ارزش کارو پایین میاره کیفیت کارتو ارتقاع بده به مشتری توضیح بده برای ارتقاع کیفیت کارت چه کارایی انجام دادی مردم …
👍24❤11
زمانی که پس زمینه عکس شدت نور بالایی داره به منبع نور مصنوعی قدرتمندی نیاز دارین فلاش های پر قدرت به همین علت ساخته شدن متعادل سازی نور طبیعی و مصنوعی یک چالش میتونه براتون ایجاد کنه این عکس و میبینید که عمق کمی داره در واقع پس زمینه محو هست تا سوژه از پس زمینه جدا بشه امین صنایعی متخصص عکاسی و نورپردازی استودیو و فضای باز جهت آموزش خصوصی به دایرکت پیام بدین @aminssg
❤5👍4👏1
زمانی که شما برای دنیای مد عکاسی میکنید باید بتوانید مدلتون رو برجسته تر ثبت کنید جسور تر و قوی تر اما زمانی که میخواهید گلامور عکس بگیرید این قضیه کاملا بر عکس میشه سعی کنید مدلتون رو ظریف تر و رمانتیک ثبت کنید هر چقدر زیبایی رو نرم تر ثبت کنید بهتر جواب خواهید گرفت روحیات آدما ثابت نیستن لحظه ایی که شما خیلی خوشحال هستین عکسی رو نگاه میکنید که در زمان ناراحتی هیچ وقت سراغ اون عکس نمیرید نتیجه : روان شناسی مخاطب داش…
❤18
عکس های فوق از کارای اسگورا هست
❤15👌6
جیان پائولو اسگورا از عکاسان معروف صنعت مد میگوید سعی میکنم عکسهایی بگیرم که نتنها از لحاظ بصری جذاب هستن بلکه صادقانه باشن اسگورا به اصالت اعتقاد دارد. او همچنین سبک را بر مد ترجیح می دهد. او معتقد است که سبک در مقایسه با روندهای زودگذر، بی زمان است.
👍12❤4
برای اینکه عکساتون بیننده رو میخکوب کنه دنبال زوایای نو باشید ترکیب زاویه نو با یک ژست جسورانه و یک نور پردازی خلاقانه همچین صحنه ایی خلق میکند ذهن خلاق در کنار تسلط بر قواعد امین صنایعی @aminsanayei
❤28👍4
سارتر معتقد است: »انسان محکوم به آزادی است. انسانهای آزاده، در لحظات حساس و دشوار مرگ سرخ و مبارزه خونین را انتخاب میکنن و فداکارانه جان میدهند تا جامعه خود را آزاد کنند. آزادیخواهان و آزادگان هر جامعه در راه مبارزه با ظلم پیش قدم میشوند و دیوار استبداد را در هم میشکنند
❤33👏7🔥3
هارمونی و کنتراست رنگی در این عکس غوغا میکنه عکس بیننده رو جذب میکنه و با رنگ هاش چشم ها رو نوازش میده پس زمینه از رنگ های زرد و نارنجی انتخاب شده لباس هم مایه آبی داره تا این کنتراست قشنگی بوجود بیاره این زیبایی تصادفی نیست 👌 امین صنایعی @aminsanayei
❤14👍2
Showing the 12 most recent of 7,944 posts we hold for @aminsanayei. 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.
@aminsanayei edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
Citation-graph rank — 364,239 of 1,151,006entries 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
Named by 4 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.
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.
@aminsanayei named 41 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
References a handle that is not a live channel — we have no record it ever was one.
One domainthis channel’s own posts have linked to, measured by scanning the post bodies themselves — not the channel’s description, which is the separate Declared links section below when this entry has one. Appearing here is not a claim about who runs the linked site or why the channel linked to it; an advertisement, a news citation and a malicious link all leave the same kind of row.
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.
“آموزش عکاسی و نورپردازی پرتره” (@aminsanayei), 45,883 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/aminsanayei.
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.