Software piracy — 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 8 August 2026 and assigned it the closest of 31 fixed categories, at 49% 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
7 measurements spanning 5 days, net +71. 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 164,455–164,548 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 09:08
164,537
+17
11 Aug 2026, 10:13
164,520
+10
10 Aug 2026, 13:02
164,510
+16
9 Aug 2026, 14:13
164,494
+15
8 Aug 2026, 11:08
164,479
+13
7 Aug 2026, 12:00
164,466
no change
7 Aug 2026, 11:50
164,466
first reading
Engagement
12 posts held, back to 12 March 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 16 pagesof Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 12 posts for this entry, the most recent from 21 October 2025. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Photos
19
Videos
3
Links
12
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. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
2m 00s
Average length
40s
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
3,252 reactions across 12 posts, in 39 distinct kinds. The most used accounts for 56.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,820
56.0%
👍
751
23.1%
👏
147
4.52%
💩
69
2.12%
🔥
67
2.06%
💔
62
1.91%
🤷♂
43
1.32%
👎
40
1.23%
😁
36
1.11%
🤔
31
0.953%
🥰
19
0.584%
🤷♀
18
0.554%
💯
12
0.369%
🌭
10
0.308%
💅
9
0.277%
🙊
9
0.277%
🥴
9
0.277%
⚡
8
0.246%
👻
8
0.246%
🙉
7
0.215%
19 further kinds
77
2.37%
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 12 of the 12 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 3,252reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 12 most recent posts we hold, published 12 March 2025 to 21 October 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Telegram Stars
Stars received
20
across the posts below
Posts paid on
2
of 12 we hold a reading for · 17%
Most on one post
16
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @scihubreal. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 12 most recent posts we hold for this entry, published 12 March 2025 to 21 October 2025. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Getting Sci-Hub tokens has just became easier with a new Solana to Sci-Hub exchange service running on Sci-Net:
sci-net.xyz/exchange
No more need to search for Sci-Hub token in the wallets among millions of scam ones: all you have to do is to send any amount of SOL (starting from minimum of 0.023) to this address. The service will exchange them to Sci-Hub and send tokens back to your wallet.
That enables support f…
Sci-Net just became a little bit more universal, with its new invite code generator function.
Previously, to get invite code or add more tokens to the account, it was neccesary to scan the QR code. The problem with former approach was, that these codes are not supported everywhere, and were not available in browsers extension wallets.
To get invite on Sci-Net, you had no option but to install a Phantom wallet on …
New functionality testing: from now on, every uploader can reserve requests for solving. The reservation will be active for 30 minutes, and other uploaders will not be able to process the request during that time.
No need to upload stub PDFs anymore!
You can reserve 1 request at a time.
Bots policy: using bots is allowed and even encouraged, if they upload correct solutions. However, if bots are destroying the nor…
A whitepaper describing the background, purpose and tokenomics of the Sci-Hub token (SCI) is now available on the website:
sci-hub.ru/docs/SCI.pdf
The primary goal is to accelerate transition of science towards Open Access, by rewarding knowledge sharing.
Sci-Hub token addess:
2MaFszzCmpJqYPjVXsNytmiHfgckWbtBVq4WSoxjVGkf
UPDATE to the Sci-Hub token
Sci-Hub token that is used for decentralized rewards in Sci-Net will be moved to the another address (2MaFszzCmpJqYPjVXsNytmiHfgckWbtBVq4WSoxjVGkf) and the older address will no longer be supported since tomorrow.
What does it mean? After the update, the price of Sci-Hub token will be higher, around 1 USD instead of 0.001. If you had some tokens deposited to the platform, the sum will be…
The results of early Sci-Net testing: overall, the feedback was overwhelmingly positive. Most people found the platform convenient (but there are still much work to be done to improve the platform)
Sci-Net : a social network where researchers can communicate discoveries by exchanging research papers! 🚀
sci-net.xyz
Sci-Net knowledge economy vs. paywall economy: key differences 👆
What is the difference between paywalled access and Sci-Net approach?
Even though both might appear similar at a first glance, the differences are profound.
The most obvious is, of course, that paywalls are prohibitive: prices on publisher websites are too high and they are out of reach for normal student and researcher. Compared to this, the entry ta…
Sci-Net main page has been updated with a new design to make the message bolder!
Instead of simply enumerating points, the main idea and advantages of the project over traditional paper-sharing is now explained in a scientific way, with theorems, proofs, and figures.
The connection of the project to Sci-Hub is also made clear (Sci-Net builds upon Sci-Hub meme coin foundation to create a new knowledge economy)
The …
🚀 Update on Sci-Net: a section added to upload papers by yourself (without waiting for someone to request it)
How: you drag & drop the paper to the upload area, the server will automatically extract DOI from the first page of the PDF file, then check if the DOI is already available on Sci-Hub / Sci-Net / preprint / open access
If DOI is not available anywhere yet, the paper will be uploaded to Sci-Net and appear i…
Sci-Net is constantly improving! 🚀
The main page of the project (sci-net.xyz) has just been updated to include some information about the project, and why it is better than sharing research papers on Telegram or via classic paper-sharing forums.
There are numerous advantages. First, all uploads to Sci-Net will always remain public and accessible without registration, same as Sci-Hub.
In addition to that, Sci-Net i…
The uploader of articles to Sci-Net has been improved!
Now the upload is separated into two steps: first, uploading PDF file to server. The second step, removing signatures / watermarks from PDF, is now optional and can be activated by pressing a button. After the button is pressed, Sci-Net will process article page-by-page, removing both hidden and visible watermarks. For large PDF files, it might take some time.
…
How soon is soon?
Sci-Net mutual paper-exchange network is now available for testing!
Help other members to get access to paper and get tokens in return.
Apply for testing here:
https://t.me/scinetesting/2
(write about your research interests and etc.) First testers will get 1000 free tokens!
👍126❤85💯10👎9👏6✍4🤮4💩3
Showing the 12 most recent of 12 posts we hold for @scihubreal. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
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.
“Sci-Hub” (@scihubreal), 164,537 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/scihubreal.
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.