Telegram RegisterThe public register of Telegram

Channel

чудо-біоробот

@drainedbrains

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

134subscribers

+0 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001472551078
TypeChannel
Username@drainedbrains
Descriptionfor the welfare of all sentience
Created3 January 2019measured — cross-checked against a third-party dataset (TGDataset)
First recorded9 August 2026
Last confirmed live9 August 2026
Measurements held2
On Telegramt.me/drainedbrains

Growth

1346 August 2026 — 134 subscribers9 August 2026 — 134 subscribers6 August 20269 August 2026
2 measurements spanning 2 days. 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 133–135 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
9 Aug 2026, 00:00134no change
6 Aug 2026, 21:31134first reading

Engagement

18 posts held, back to 1 April 2026the 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
53.4%
avg views ÷ 134 subscribers
Avg views / post
71.5
4 posts measured
Reaction rate
6.67%
reactions ÷ views · ER floor
Posts in window
4
of 18 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 3 of 4 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 5 August 2026
Posts held18 (1 April 20265 August 2026)
Views total286
Reactions total11
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Aug 2026, 00:00 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.

What this channel posts

Photos
1,640
Videos
63
Links
833

Lifetime counters from Telegram’s own channel header, read 9 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

22 reactions across 8 posts, in 5 distinct kinds. The most used accounts for 50.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1150.0%
😁522.7%
🔥313.6%
🤡29.09%
🤨14.55%

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 8 of the 18 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 22reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 1 April 2026 to 5 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

5 Aug 2026, 08:09 UTC56 views2 reactionsread 9 August 2026

This night, having ingested coffee too late on a previous day, unable to properly fall asleep, I woke from an erratic slumber, wondering if Singularity is already there, unfloding, taking us like a plane, or I am completely crazy. The moon, motionless on the dark blue dome of the barely sunrise sky, looked back at me, as if asking a question, when I turned my head towards the window. Maybe being crazy is what Singula

🤡2

4 Jun 2026, 18:19 UTC186 views1 reactionsread 9 August 2026
Forwarded from @naukauaPhoto

🪳🕹 Інженери покерували тарганом за допомогою штучного інтелекту, який зчитував активність його нервової системи та вирішував, коли варто підганяти комаху, а коли краще не втручатися Завдяки такій системі науковці змусили таргана пройти лабіринт, не зупиняючись поблизу їжі, тоді як жоден звичайний тарган до виходу так і не дійшов. Таких керованих комах-кіборгів сподіваються використовувати у пошуково-рятувальних робо

1

2 Jun 2026, 20:55 UTC155 viewsread 9 August 2026

It occured to me that it's a great shame that tons of information about particular side effects and phenomenology of psychiatric drugs* is hidden there in private records of psychiatrist unmapped to any biology, be it genes or anatomy. * in reality, not only psychiatric drugs - it's just that they sparked this line of though. remember all of your acquintances and friends having quite idiosyncratic reactions to pers

2 Jun 2026, 12:57 UTC148 views4 reactionsread 9 August 2026

checking papers by chinese authors is somewhat analogous to watching reels; entertaining but dumb

😁3🤨1

21 May 2026, 11:42 UTC200 viewsread 9 August 2026

although the suggection was more along the line of looking at the explained variance at different age

21 May 2026, 11:39 UTC186 viewsread 9 August 2026

in the end there was a nice question about improving MR analyses by making exposure measurements better, that is, making-life long measurements of traits to track their dynamics, which made me think that it would be ideal for triats that change over time to have GWAS that track associations with same parameters that define the life-long trajectories of those traits (slope of a line that represents speed of change in

21 May 2026, 10:54 UTC162 viewsread 9 August 2026

кекнув із рофлу в лекції: in mendelian diseases there's sort of many examples of such gene environment equivalence. on the right here we have pellagra which is caused by long-term deficiency of vitamin B3 or niacin - it's a dietary deficiency, and on the left we have heartlips disease which is a genetic disorder resulting in poor absorption of amino acids including tryptophan which is then converted to niacin so the

5 May 2026, 13:07 UTC169 viewsread 9 August 2026

яку проблему це вирішує? на даному етапі людські спостереження за навколишнім середовищем занадто децентралізовані і не достатньо інтегровані для ефективного передбачення та реагування на зміни в стані оболонок Землі; така система могла б вирішити задачу підтримання гомеостазу взаємодії цивілізації та Природи.

Showing the 12 most recent of 18 posts we hold for @drainedbrains. 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.

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.

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

“чудо-біоробот” (@drainedbrains), 134 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/drainedbrains.

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.