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Telegram profile photo for آموزش رایگان فتوشاپ

Channel

آموزش رایگان فتوشاپ

@photoshope

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

18,001subscribers

-290 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001094205189
TypeChannel
Username@photoshope
CreatedBetween 1 September 2016 and 30 September 2017 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live19 September 2026
Measurements held35
Confirmed unchanged1 time, most recently 19 September 2026
On Telegramt.me/photoshope

Topic

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 10 September 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.

Growth

18,00118,29118,1466 August 2026 — 18,291 subscribers6 August 2026 — 18,291 subscribers6 August 2026 — 18,289 subscribers7 August 2026 — 18,278 subscribers8 August 2026 — 18,272 subscribers9 August 2026 — 18,270 subscribers10 August 2026 — 18,260 subscribers11 August 2026 — 18,256 subscribers13 August 2026 — 18,251 subscribers14 August 2026 — 18,237 subscribers16 August 2026 — 18,228 subscribers17 August 2026 — 18,223 subscribers18 August 2026 — 18,208 subscribers19 August 2026 — 18,203 subscribers20 August 2026 — 18,195 subscribers21 August 2026 — 18,184 subscribers22 August 2026 — 18,170 subscribers24 August 2026 — 18,161 subscribers25 August 2026 — 18,155 subscribers26 August 2026 — 18,154 subscribers27 August 2026 — 18,152 subscribers28 August 2026 — 18,141 subscribers29 August 2026 — 18,144 subscribers30 August 2026 — 18,145 subscribers31 August 2026 — 18,132 subscribers1 September 2026 — 18,118 subscribers2 September 2026 — 18,113 subscribers3 September 2026 — 18,108 subscribers6 September 2026 — 18,090 subscribers9 September 2026 — 18,061 subscribers11 September 2026 — 18,046 subscribers13 September 2026 — 18,037 subscribers15 September 2026 — 18,022 subscribers17 September 2026 — 18,016 subscribers19 September 2026 — 18,001 subscribers6 August 202619 September 2026
35 measurements spanning 45 days, net -290. 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 17,958–18,335 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)SubscribersChange
19 Sept 2026, 18:0018,001-15
17 Sept 2026, 05:4118,016-6
15 Sept 2026, 08:5918,022-15
13 Sept 2026, 14:3818,037-9
11 Sept 2026, 19:4218,046-15
9 Sept 2026, 10:3718,061-29
6 Sept 2026, 04:1818,090-18
3 Sept 2026, 22:5918,108-5
2 Sept 2026, 13:2318,113-5
1 Sept 2026, 13:5618,118-14
31 Aug 2026, 10:2618,132-13
30 Aug 2026, 08:5418,145+1
29 Aug 2026, 11:4818,144+3
28 Aug 2026, 10:2518,141-11
27 Aug 2026, 10:4418,152-2
26 Aug 2026, 08:3818,154-1
25 Aug 2026, 09:3718,155-6
24 Aug 2026, 09:0418,161-9
22 Aug 2026, 18:3418,170-14
21 Aug 2026, 12:0618,184first reading

Engagement

62 posts held, back to 28 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 56 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.88%
avg views ÷ 18,001 subscribers
Avg views / post
518
15 posts measured
Reaction rate
1.24%
reactions ÷ views · ER floor
Posts in window
15
of 62 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
WindowRolling 30 days · latest post in window 31 August 2026
Posts held62 (28 July 202631 August 2026)
Views total7,771
Reactions total96
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 08:56 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
23m 19s
Average length
7m 46s

Measured directly from 3 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

320 reactions across 52 posts, in 7 distinct kinds. The most used accounts for 77.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
24877.5%
👍319.69%
🤩175.31%
👌134.06%
🤯72.19%
😱20.625%
🙏20.625%

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 54 of the 62 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 328 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 62 most recent posts we hold, published 28 July 2026 to 31 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

31 Aug 2026, 20:19 UTC328 views5 reactionsread 3 September 2026
Photo

تمرین فیلتر liquify ارسالی از خانم مریم آلبوغبیش از اعضای کانال😍👌👌 @photoshope

5

Signed Mahyar

29 Aug 2026, 12:26 UTC511 views4 reactionsread 3 September 2026

به این آیدی نمونه کارارو بفرستید👇 @mahyarghadyani

2🤩2

Signed Mahyar

29 Aug 2026, 12:25 UTC494 views3 reactionsread 3 September 2026

تمرینات و نمونه کاراتون با این فیلتر رو برام بفرستید تا بزارم تو کانال❤️👌😍

3

Signed Mahyar

28 Aug 2026, 21:15 UTC564 views11 reactionsread 3 September 2026
Video

آموزش کامل فیلتر liquify در فتوشاپ🔥😎 در این آموزش به صورت کامل این فیلتر مهم رو یاد میگیریم و کاربردشو مخصوصا در روتوش فرا میگیریم👌😍 برای دوستانتونم بفرستید تا استفاده کنن❤️ @photoshope

6🤩3👌2

Signed Mahyar

28 Aug 2026, 20:54 UTC490 views6 reactionsread 3 September 2026

خب بریم سراغ ویدیو آموزشی😍👌

👍42

Signed Mahyar

28 Aug 2026, 08:06 UTC555 views13 reactionsread 3 September 2026

بریم سراغ آموزش ویدیویی؟ با ری اکت ها نشون بدید😁👌❤️

13

Signed Mahyar

28 Aug 2026, 08:06 UTC498 views6 reactionsread 3 September 2026

ولی باید تو ویدیو آموزشی کاربرد و روش اصلیشو ببینید تا دقیق تر متوجه بشید این فیلتر پرکاربرد چطوری کار میکننه🔥😌

5👌1

Signed Mahyar

28 Aug 2026, 08:03 UTC536 views8 reactionsread 3 September 2026

فیلتری که میخوایم دربارش صحبت کنیم اسمش liquify هست 🔥 حالا استفادش چیه؟ ما از این فیلتر بیشتر تو روتوش استفاده کنیم و اجزای صورت مثل کل فرم صورت و بینی و چشم رو هم از طریق امکانات پیش فرض برنامه یا دستی میتونیم خودمون دفرمه کنیم و شکلی که میخوایم رو ایجاد کنیم 👌😎 @photoshope

7🤩1

Signed Mahyar

28 Aug 2026, 08:01 UTC467 views6 reactionsread 3 September 2026

خب اسمش چیه و کاربردش چیه؟🤔

6

Signed Mahyar

28 Aug 2026, 07:59 UTC445 views5 reactionsread 3 September 2026

امروز میخوایم درباره یکی از فیلتر های مهم فتوشاپ صحبت کنیم👌

5

Signed Mahyar

28 Aug 2026, 07:56 UTC432 views5 reactionsread 3 September 2026

سلام بر همراهان همیشگیمون❤️❤️

5

Signed Mahyar

Showing the 12 most recent of 62 posts we hold for @photoshope. 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.

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.

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 19 September 2026 — this entry's latest reading, not the date you are reading this.

“آموزش رایگان فتوشاپ” (@photoshope), 18,001 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/photoshope.

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.