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Channel

Кот Шрёдингера | Наука и Факты

@SchroodingerCat

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Stars · Advertising · Posts · Citations · Handles named that no longer answer · Cite this entry

330,234subscribers

+1,425 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 316,228–1,000,000.

Register entry

Telegram ID-1001520185750
TypeChannel
Username@SchroodingerCat
Description#BZXWS Сотрудничество по рекламе: @dnlkupaev Сотрудники: https://t.me/boost_jet_price/26 @Spiral_Miya Пригласить друга: https://t.me/SchroodingerCat
CreatedBetween 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live19 September 2026
Measurements held33
Confirmed unchanged1 time, most recently 19 September 2026
On Telegramt.me/SchroodingerCat

Topic

Other / unclassifiable — 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 66% 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.

Observations

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.

Content that also appears on other registered channels

Posts published here appear word for word on 3 other registered channels. 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.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@cerebra_education/193224 Aug 2026, 18:05 UTC@SchroodingerCat/19949 · this entry4 Aug 2026, 18:05 UTC1.00under a minute
@SchroodingerCat/19955 · this entry5 Aug 2026, 11:05 UTC@cerebra_education/193285 Aug 2026, 11:05 UTC1.00under a minute
@cerebra_education/193315 Aug 2026, 15:05 UTC@SchroodingerCat/19958 · this entry5 Aug 2026, 15:05 UTC1.00under a minute
@cerebra_education/193376 Aug 2026, 07:05 UTC@SchroodingerCat/19967 · this entry6 Aug 2026, 11:05 UTC1.004.0 hours
@cerebra_education/193436 Aug 2026, 15:05 UTC@SchroodingerCat/19985 · this entry7 Aug 2026, 18:05 UTC1.0027 hours
@SchroodingerCat/19952 · this entry5 Aug 2026, 07:05 UTC@cerebra_education/193466 Aug 2026, 18:05 UTC1.0035 hours
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@cerebra_education8 (8/8 hand-verifiable sample passed)1.004.0 hoursthis entry (53)
@gusgagarik7 (7/7 hand-verifiable sample passed)1.002.0 hours@gusgagarik (61)
@sovr_hozyaika6 (6/6 hand-verifiable sample passed)1.00under a minutethis entry (42)

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. 8 of the 11 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 36 comparable posts for this entry, running 4 August 2026 to 7 August 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.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 4, the earliest publisher we hold is @cerebra_education. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_mutual · clone_source, last confirmed 8 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.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 3 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.

Growth

328,809330,869329,8396 August 2026 — 328,809 subscribers7 August 2026 — 328,841 subscribers8 August 2026 — 328,992 subscribers9 August 2026 — 329,328 subscribers10 August 2026 — 329,779 subscribers11 August 2026 — 329,751 subscribers12 August 2026 — 329,762 subscribers13 August 2026 — 329,470 subscribers14 August 2026 — 329,138 subscribers16 August 2026 — 329,205 subscribers17 August 2026 — 329,306 subscribers18 August 2026 — 329,321 subscribers19 August 2026 — 329,391 subscribers21 August 2026 — 329,400 subscribers22 August 2026 — 329,762 subscribers24 August 2026 — 330,109 subscribers25 August 2026 — 330,238 subscribers26 August 2026 — 330,192 subscribers27 August 2026 — 330,040 subscribers28 August 2026 — 330,146 subscribers29 August 2026 — 330,328 subscribers30 August 2026 — 330,321 subscribers31 August 2026 — 330,437 subscribers1 September 2026 — 330,415 subscribers2 September 2026 — 330,626 subscribers3 September 2026 — 330,667 subscribers6 September 2026 — 330,587 subscribers9 September 2026 — 330,869 subscribers11 September 2026 — 330,231 subscribers13 September 2026 — 330,333 subscribers15 September 2026 — 330,346 subscribers17 September 2026 — 330,485 subscribers19 September 2026 — 330,234 subscribers330,2346 August 202619 September 2026
33 measurements spanning 44 days, net +1,425. 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 328,500–331,178 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)SubscribersChange
19 Sept 2026, 15:57330,234-251
17 Sept 2026, 03:37330,485+139
15 Sept 2026, 04:19330,346+13
13 Sept 2026, 16:41330,333+102
11 Sept 2026, 22:17330,231-638
9 Sept 2026, 08:58330,869+282
6 Sept 2026, 00:19330,587-80
3 Sept 2026, 22:17330,667+41
2 Sept 2026, 12:45330,626+211
1 Sept 2026, 16:13330,415-22
31 Aug 2026, 17:44330,437+116
30 Aug 2026, 15:58330,321-7
29 Aug 2026, 14:13330,328+182
28 Aug 2026, 11:23330,146+106
27 Aug 2026, 07:54330,040-152
26 Aug 2026, 07:43330,192-46
25 Aug 2026, 05:18330,238+129
24 Aug 2026, 04:35330,109+347
22 Aug 2026, 13:33329,762+362
21 Aug 2026, 02:13329,400first reading

Engagement

522 posts held, back to 4 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 113 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
5.94%
avg views ÷ 330,234 subscribers
Avg views / post
19,600
334 posts measured
Reaction rate
1.12%
reactions ÷ views · ER floor
Posts in window
334
of 522 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 19 September 2026
Posts held522 (4 August 202619 September 2026)
Views total6,549,740
Reactions total73,463
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken19 Sept 2026, 16:37 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
208
Videos
11,800
Links
13,200

Lifetime counters from Telegram’s own channel header, read 19 September 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.

Video runtime
2h 46m
Average length
26s

Measured directly from 382 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

113,067 reactions across 522 posts, in 23 distinct kinds. The most used accounts for 28.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥32,71828.9%
👍24,35821.5%
17,01015.0%
😁10,2879.10%
😱9,3618.28%
🤯4,5023.98%
👏4,0333.57%
🍌3,3252.94%
🤩2,7012.39%
🥰1,8631.65%
😍9970.882%
❤‍🔥5320.471%
🐳2520.223%
🤓1790.158%
💯1760.156%
🫡1490.132%
🏆1360.12%
1100.097%
🕊1040.092%
1010.089%
3 further kinds1730.153%

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 522 of the 522 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 113,067 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 522 most recent posts we hold, published 4 August 2026 to 19 September 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.

Telegram Stars

Stars received
18
across the posts below
Posts paid on
13
of 522 we hold a reading for · 2%
Most on one post
3
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @SchroodingerCat. 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 522 most recent posts we hold for this entry, published 4 August 2026 to 19 September 2026. 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.

Advertising

Ad load
0.383%
2 of 522 posts carry an ad marker
Regulatory tokens
2
posts carrying an erid · 2 distinct tokens
Median views · ads
18,600
over 2 measured posts
Median views · rest
20,100
over 520 measured posts

An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.

This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.

Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2VtzqwGxCmQ121 August 202621 August 2026
2VtzqwRtUpz16 August 20266 August 2026

A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.

Measured over the 522 most recent posts we hold, published 4 August 2026 to 19 September 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.

Recent posts

19 Sept 2026, 16:05 UTC≈2,190 views34 reactionsread 19 September 2026
Video

🙌🏼 Робо-массаж от Aescape Говорят, что клиенты остаются в восторге - «умный» ИИ идеально подстраивается под тело клиента, уделывая даже профессиональных массажистов. Кот Шрёдингера😺 | Мы в MAX 🇷🇺

🔥293🥰2

19 Sept 2026, 15:05 UTC≈4,800 views24 reactionsread 19 September 2026
Photo

«Болезни нам не Бог посылает» — Серафим Саровский говорил, что есть 3 причины хворей: 1. Многие хвори возникают оттого, что человек становится…👇🏻

👍11🍌9🤯2🤓1😁1

19 Sept 2026, 13:05 UTC≈8,350 views205 reactionsread 19 September 2026
Video

🌳 Специальный ковш для транспортировки дерева с учетом корневой системы Кот Шрёдингера😺 | Мы в MAX 🇷🇺

🔥123👏36👍3310❤‍🔥3

19 Sept 2026, 12:05 UTC≈10,100 views115 reactionsread 19 September 2026
Video

📝 Шёл только 11-й день учёбы, а зумеры уже успели придумать заполняльщик дневников Устройство автоматически вписывывает предметы прямо в дневник ученика. Кот Шрёдингера😺 | Мы в MAX 🇷🇺

🔥55😁46🍌9🤓4🤩1

19 Sept 2026, 11:05 UTC≈11,500 views66 reactionsread 19 September 2026
Video

«Марик» — трогательная драма от создателей сериала «Ландыши» о простом враче, который заново учится жить в родном городе. Устроившись на работу в бригаду скорой помощи, он исцеляет свою жизнь, спасая чужие, и находит в себе силы открыть сердце для новой любви. Все серии уже доступны на КИОН

36🔥14👍7🍌6🤯3

19 Sept 2026, 09:05 UTC≈13,400 views127 reactionsread 19 September 2026
Video

🎦 Будущее одновременно интересное, но и пугающее Некоторые кофейни начали испытывать ИИ для измерения продуктивности сотрудников и анализа клиентов. Кот Шрёдингера😺 | Мы в MAX 🇷🇺

🤯71😱30🔥168🤩2

19 Sept 2026, 08:05 UTC≈13,800 views122 reactionsread 19 September 2026
Video

🛀 Переносная ванна с подогревом из Китая Хороший выбор для тех, кто не может жить без телевизора или компьютера. Кот Шрёдингера😺 | Мы в MAX 🇷🇺

🔥88🍌15🤩11😱5🥰3

19 Sept 2026, 07:05 UTC≈14,300 views49 reactionsread 19 September 2026
Photo

Фото из учебника по криминалистике Всего по одной детали на фото, девушка поняла, что ее дядя тот самый маньяк, которого ищет весь город. Что она заметила?

🍌24🤯147💯2🥰2

19 Sept 2026, 06:05 UTC≈15,100 views204 reactionsread 19 September 2026
Video

🚄 Беспилотное метро Китая оказалось не таким уж беспилотным В кабине все же сидит машинист — он ничем не управляет, а находится там для успокоения пассажиров. При этом отвлекаться на телефон или другие дела ему нельзя. Кот Шрёдингера😺 | Мы в MAX 🇷🇺

😁14027🔥23😱8👍6

18 Sept 2026, 19:05 UTC≈17,900 views164 reactionsread 19 September 2026
Video

👷 Китай оставит без работы всю планету Новая китайская разработка — на этот раз робот-строитель. Он может замешивать бетон, и сразу же его использовать. Кот Шрёдингера😺 | Мы в MAX 🇷🇺

🔥109👍3810💯6🎉1

18 Sept 2026, 18:05 UTC≈18,200 views54 reactionsread 19 September 2026
Video

⚡️Умирают не от болезней, умирают от лекарств! В 1923 году смертность от рака, пневмонии и инфаркта была в 121(!) раз ниже, чем сейчас. А вы дальше верьте медицине и «революционным» лекарствам, которые пихают вам врачи. Может и до 60 доживете. 🔥 Я – доктор Иванов, уже 32 года работаю фельдшером в скорой помощи. На основании своего опыта и проблем пациентов создал канал «НЕМЕДИК», где честно снимаю врачебную лапшу

🍌2715🤯7😁4🥰1

18 Sept 2026, 17:05 UTC≈18,100 views246 reactionsread 19 September 2026
Video

🧪 Был бы у меня такой учитель... Доктор Кейт Бибердорф — преподавательница физики из Техаса, которая превращает каждый урок в шоу. Кот Шрёдингера😺 | Мы в MAX 🇷🇺

🔥171👏39🤯1613👍7

Showing the 12 most recent of 522 posts we hold for @SchroodingerCat. 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

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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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 52 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.

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.

“Кот Шрёдингера | Наука и Факты” (@SchroodingerCat), 330,234 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/SchroodingerCat.

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.