Telegram RegisterThe public register of Telegram

Channel

wasted paper

@wasted_paper

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

9,646subscribers

-1 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001638539447
TypeChannel
Username@wasted_paper
DescriptionЧастная библиотека коллекционера модного зарубежного глянца. С 1970 года по н.в. То, что вы точно нигде не видели. wasted.paper@ya.ru
Created12 November 2021measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/wasted_paper

Growth

9,6469,6489,6476 August 2026 — 9,647 subscribers6 August 2026 — 9,647 subscribers6 August 2026 — 9,646 subscribers9 August 2026 — 9,648 subscribers12 August 2026 — 9,646 subscribers6 August 202612 August 2026
5 measurements spanning 6 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 9,646–9,648 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 12:589,646-2
9 Aug 2026, 11:089,648+2
6 Aug 2026, 20:059,646-1
6 Aug 2026, 07:309,647no change
6 Aug 2026, 07:229,647first reading

Engagement

7 posts held, back to 27 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 15 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
17.8%
avg views ÷ 9,646 subscribers
Avg views / post
1,720
7 posts measured
Reaction rate
2.09%
reactions ÷ views · ER floor
Posts in window
7
of 7 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 11 August 2026
Posts held7 (27 July 202611 August 2026)
Views total12,006
Reactions total251
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 14:57 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
6,180
Videos
25
Links
252

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.

Reaction mix

215 reactions across 6 posts, in 4 distinct kinds. The most used accounts for 76.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
16576.7%
👍2712.6%
🔥209.30%
👎31.40%

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 7 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 251reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 7 most recent posts we hold, published 27 July 2026 to 11 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

11 Aug 2026, 09:49 UTC581 views35 reactionsread 12 August 2026
Photo

ZARA TRF summer 2026 photo: Deo Suveera & Pamela Dimitrov model: Mathilda Gvarliani Тот вид современного пленочного минимализма, когда о съемке почти нечего рассказать: она держится на вариациях белого, деликатных акцентах кроя, жестких тенях, естественном солнечном свете и бетонном фоне. Нечто среднее между каталогом и современным эдиториалом откуда-то из французского Bazaar. Примерно с 2017–2018 годов Zara начина

28🔥4👍3

8 Aug 2026, 08:28 UTC820 views26 reactionsread 12 August 2026
Photo

Francois Nars — X-ray (1999) Schirmer / Mosel Part I Франсуа Нарс известен прежде всего как визажист, а не фотограф. X-Ray — одна из немногих его книг и вообще первый крупный фотопроект. Появился он почти случайно: в 1994 году Нарс запускал собственную косметическую линию, денег на кампейн не было, и он решил взять камеру сам. Именно тогда он освоил свое второе амплуа. Материал для книги снят в 1997 году максималь

23👍3

6 Aug 2026, 11:10 UTC715 views28 reactionsread 10 August 2026
Photo

Numero # 39 Dec 2002/Jan 2003 photo: Miles Aldridge style: Heathermary Jackson model: Jessica Miller Душераздирающие краски, disco fever, истошный мейкап начала 80-х, летящие кудри, а также зажигательная La Miller в объективе максимально синтетического и постановочного Майлза Олдриджа. Одна из лучших съемок первого этапа карьеры Джесс, которая в 2002 штормом захватила подиумы и страницы журналов. Меня всегда пленя

28

4 Aug 2026, 13:34 UTC832 views43 reactionsread 10 August 2026
Photo

#BestShot Vogue Russia November 2019 photo: Dudi Hasson style: Katerina Zolototrubova model: Karlijn Kusters Один из очень немногих кадров позднего русского Vogue, который я до сих пор считаю по-настоящему удачным, не будучи поклонником ни Chanel, ни русского Vogue. Нелепая, почти невозможная поза. Широкая улыбка, которую в high-fashion-съемках сейчас встретишь не так уж часто. Черный total look Chanel из последн

31👍9👎3

2 Aug 2026, 09:15 UTC938 views30 reactionsread 10 August 2026
Photo

Purple SS 2024 photo: Vanina Sorrenti style: Pau Avia models: Gray Sorrenti, Lennon Sorrenti Третье поколение клана Сорренти в объективе представителя второго: пожалуй, самая известная семья в модном креативе родом из Италии, но живущая в Нью-Йорке. Минутка занимательной генеалогии: все началось с momager Франчески Сорренти, которая тоже работала фотографом, но все-таки больше — матерью семейства. Вундеркиндом фами

18👍12

30 Jul 2026, 10:00 UTC≈7,070 views53 reactionsread 8 August 2026
Photo

I-D August 1992 photo: David Sims style: Anna Cockburn model: Emma Balfour Эту съёмку легко принять за очередной гранжевый editorial начала 90-х, но на самом деле её главный герой — DIY-культура. В кредитах нет ни одного бренда. Вместо этого — вещи, переделанные вручную: окрашенная в зелёный цвет футболка, серебристые лосины, свитер цвета мха, изумрудный V-neck и юбка, сделанная из традиционного китайского платья ч

37🔥16

27 Jul 2026, 11:02 UTC≈1,050 views36 reactionsread 6 August 2026
Photo

Vogue Italia August 2026 photo: Vito Fernicola style: Carlos Nazario model: Vittoria Ceretti Эксклюзив: официально вышел только анонс обложки, а здесь — уже эдиториал. Привычный дуэт двух итальянцев с одинаковым именем. Пустынные пейзажи подъездных дорог и лиминальных городских пространств, разбавленных фото из мотеля. Все это, конечно, уже было много раз и по сути составляет визуальный язык автора, но здесь мне имп

Showing the 7 most recent of 7 posts we hold for @wasted_paper. 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 — 162,538 of 1,160,990entries 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

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 2 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.

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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“wasted paper” (@wasted_paper), 9,646 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/wasted_paper.

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.