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Channel

Факты | Лайфхаки | Советы

@lifehack_sovet

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Posts · Posts recorded as deleted · Citations · Cite this entry

19,943subscribers

-13 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001441870366
TypeChannel
Username@lifehack_sovet
DescriptionЛайфхаки на каждый день! Живи проще! Зарегистрирован в РКН: https://www.gosuslugi.ru/snet/67a06ef49a0fbc408be2b5f4 По вопросам размещения рекламы - @pinky_reklama
CreatedBetween 1 April 2019 and 31 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live10 November 2026
Measurements held15
Confirmed unchanged4 times, most recently 10 November 2026
On Telegramt.me/lifehack_sovet

Topic

Science — 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 10 August 2026 and assigned it the closest of 31 fixed categories, at 83% 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 the other topics.

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 in near-verbatim form on 6 other registered channels. This entry also sits inside a group of 3 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. 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
@lifehack_sovet/2045 · this entry13 Jul 2026, 12:59 UTC@nauch_obrazovanie/197913 Jul 2026, 13:00 UTC1.00under a minute
@lifehack_sovet/2057 · this entry4 Aug 2026, 15:00 UTC@nauch_obrazovanie/19954 Aug 2026, 15:01 UTC1.00under a minute
@lifehack_sovet/2067 · this entry20 Aug 2026, 16:20 UTC@nauch_obrazovanie/200420 Aug 2026, 16:20 UTC1.00under a minute
@lifehack_sovet/2087 · this entry29 Sept 2026, 13:03 UTC@nauch_obrazovanie/203529 Sept 2026, 13:04 UTC1.00under a minute
@lifehack_sovet/2090 · this entry5 Oct 2026, 08:45 UTC@nauch_obrazovanie/20385 Oct 2026, 08:45 UTC1.00under a minute
@lifehack_sovet/2094 · this entry13 Oct 2026, 09:58 UTC@nauch_obrazovanie/204613 Oct 2026, 09:58 UTC1.00under a minute
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@nauch_obrazovanie34 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (34–0)
@mknewsru6 (6/6 hand-verifiable sample passed)0.987.5 hours@mknewsru (6–0)
@Scienceg6 (6/6 hand-verifiable sample passed)1.006.3 hours@Scienceg (6–0)
@Novie_tehno5 (5/5 hand-verifiable sample passed)1.006 minutesthis entry (5–0)
@steamigri5 (5/5 hand-verifiable sample passed)1.005 minutesthis entry (5–0)
@sciencea5 (5/5 hand-verifiable sample passed)0.985.8 hours@sciencea (5–0)

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. 11 of the 17 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 55 comparable posts for this entry, running 5 July 2026 to 10 November 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).

Of the group of 3 channels, the one whose matching posts we hold earliest is @sciencea. That is a statement about our reading window, not a claim of authorship.

Views per post sit far above this size band

19,500 average views per post against 19,944 subscribers — an engagement rate of 97.6%. Across the 21,335 registered channels in the same cohort — 10,000–31,621 subscribers, posting mainly in Russian — the middle half sit between 5.84% and 23.6%, with a median of 12.1%.

What this was computed from
Window30 days (6 October 2026 – 5 November 2026)
Posts measured15 of 15 published in the window (0 exact, 15 rounded by Telegram)
Views totalled291,900
Mature posts only97.5% over 14 posts read at least 24h after publication
Subscribers19,944 measured 2 November 2026
Cohortb10000:rus · 21,335 channels · p10 2.94% · p25 5.84% · p50 12.1% · p75 23.6% · p90 42.5%
Position in cohort99.175th percentile · 8.1× the cohort median
Uncertainty±0.15% of the figure, from Telegram’s rounding
Post languageRussian · 100.0% of the window’s posts

When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.

This is not a verdict, and the direction is not a quality signal. A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.

Recorded under the keys clone_copy · clone_source · err_high, last confirmed 11 November 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.

Channels linked by matching posts

This channel is in a group of 3 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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

19,94319,95619,949.57 August 2026 — 19,956 subscribers7 August 2026 — 19,956 subscribers29 August 2026 — 19,955 subscribers1 September 2026 — 19,954 subscribers2 September 2026 — 19,952 subscribers8 September 2026 — 19,951 subscribers13 September 2026 — 19,950 subscribers19 September 2026 — 19,949 subscribers25 September 2026 — 19,947 subscribers4 October 2026 — 19,946 subscribers13 October 2026 — 19,947 subscribers22 October 2026 — 19,946 subscribers24 October 2026 — 19,945 subscribers2 November 2026 — 19,944 subscribers6 November 2026 — 19,943 subscribers7 August 20266 November 2026
15 measurements spanning 92 days, net -13. 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 19,941–19,958 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
6 Nov 2026, 16:3819,943-1
2 Nov 2026, 08:5019,944-1
24 Oct 2026, 13:3619,945-1
22 Oct 2026, 15:3919,946-1
13 Oct 2026, 04:4719,947+1
4 Oct 2026, 08:2019,946-1
25 Sept 2026, 17:5419,947-2
19 Sept 2026, 02:0019,949-1
13 Sept 2026, 08:1819,950-1
8 Sept 2026, 21:1919,951-1
2 Sept 2026, 08:4619,952-2
1 Sept 2026, 06:5619,954-1
29 Aug 2026, 05:4319,955-1
7 Aug 2026, 15:5219,956no change
7 Aug 2026, 00:4519,956first reading

Engagement

57 posts held, back to 3 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 77 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
97.7%
avg views ÷ 19,943 subscribers
Avg views / post
19,500
14 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
14
of 57 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 10 November 2026
Posts held57 (3 July 2026 – 10 November 2026)
Views total272,800
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Nov 2026, 04:08 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
≈1,920
Videos
≈7
Links
≈37

Lifetime counters from Telegram’s own channel header, read 12 November 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.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 14 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

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Showing the 12 most recent of 57 posts we hold for @lifehack_sovet. 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.

Posts recorded as deleted after publishing

We recorded 1 post on @lifehack_sovet as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
19 August 2026
Most recent seen missing
19 August 2026
Median time before seen missing
2 days
Seen missing in the last 30 days
0

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

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

Names

Channels on the register whose handles appear in this channel's posts.

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 6 November 2026 — this entry's latest reading, not the date you are reading this.

“Факты | Лайфхаки | Советы” (@lifehack_sovet), 19,943 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/lifehack_sovet.

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.