Channel
@lifes_method
On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
6,491subscribers
-4 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001341848393 |
|---|---|
| Type | Channel |
| Username | @lifes_method |
| Created | Between 1 March 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/lifes_method |
Health & wellness — 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 11 August 2026 and assigned it the closest of 31 fixed categories, at 80% 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.
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.
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.
| Posted first | Then | Overlap | Gap |
|---|---|---|---|
| @lifes_method/68626 · this entry20 Jul 2026, 12:25 UTC | @tabibee_hazegh/8113820 Jul 2026, 12:25 UTC | 1.00 | under a minute |
| @lifes_method/68627 · this entry23 Jul 2026, 09:10 UTC | @tabibee_hazegh/8113923 Jul 2026, 09:10 UTC | 1.00 | under a minute |
| @lifes_method/68632 · this entry25 Jul 2026, 05:51 UTC | @tabibee_hazegh/8114425 Jul 2026, 05:51 UTC | 1.00 | under a minute |
| @lifes_method/68635 · this entry26 Jul 2026, 05:10 UTC | @tabibee_hazegh/8114726 Jul 2026, 05:10 UTC | 1.00 | under a minute |
| @lifes_method/68637 · this entry26 Jul 2026, 05:11 UTC | @tabibee_hazegh/8114926 Jul 2026, 05:11 UTC | 1.00 | under a minute |
| @lifes_method/68640 · this entry1 Aug 2026, 05:09 UTC | @tabibee_hazegh/811521 Aug 2026, 05:09 UTC | 1.00 | under a minute |
| Channel | Matching posts | Text overlap | Typical gap | Published first |
|---|---|---|---|---|
| @tabibee_hazegh | 16 (8/8 hand-verifiable sample passed) | 1.00 | under a minute | @tabibee_hazegh (13–3) |
| @maax1 | 8 (8/8 hand-verifiable sample passed) | 1.00 | under a minute | this entry (6–2) |
| @infostorie | 7 (7/7 hand-verifiable sample passed) | 1.00 | under a minute | this entry (7–0) |
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. 1 of the 15 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 21 comparable posts for this entry, running 20 July 2026 to 6 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.
Across the whole group of 4, the earliest publisher we hold is @lifes_method — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the keys clone_copy · clone_source, last confirmed 7 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.
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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 19:33 | 6,491 | -3 |
| 7 Aug 2026, 07:02 | 6,494 | -1 |
| 6 Aug 2026, 07:15 | 6,495 | first reading |
24 posts held, back to 20 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 9 pagesof Telegram’s post history, 20 posts per page.
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 7 of 24 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 9 August 2026 |
|---|---|
| Posts held | 24 (20 July 2026 – 9 August 2026) |
| Views total | 16,034 |
| Reactions total | 9 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 03:05 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.
Measured directly from 4 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.
8 reactions across 6 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 8 | 100.0% |
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 24 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 9reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 24 most recent posts we hold, published 20 July 2026 to 9 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.
🟢کارهایی که هر زنی دوست داردشوهرش دررابطه جنسی انجام دهد ماساژکمروباسن لمس نوک سینه ها لمس واژن باانگشت نوازش گردن ولایه گوش نوازش کردن موهای خانمها انجام پوزیشن دهانی وخوردن واژن 🌱 @lifes_method 🌱
🟢تا حالا شده کسی رو ببینی که حتی وقتی نیازی نیست، باز هم دروغ میگه؟ خیلی وقتها ما فکر میکنیم این افراد دارن با نقشه قبلی به ما کلک میزنن، اما حقیقت اینه که بیماری دروغگویی، یه نوع اختلال رفتاریه که ریشههای عمیقی در روان و حتی ساختار مغز داره.... 🌱 @lifes_method 🌱
👍1
Sticker, posted without a caption
🔹مدیریت موج بازگشت سفرهای زائران اربعینی؛ هر ۴۰ ثانیه خروج یک اتوبوس از پایانه شهید رئیسی (برکت) 🔹سخنگوی قرارگاه حملونقل اربعین حسینی سازمان راهداری و حملونقل جادهای با اشاره به موج بازگشت زائران اربعین، گفت: هر ۴۰ ثانیه یک اتوبوس از پایانه شهید رئیسی (برکت) در مرز شهید سلیمانی (مهران) خارج میشود. 🔹مهدی قلیزاد با اشاره به اینکه هر ساله در سفرهای اربعین یک موج رفت و یک موج بازگشت وجود دارد، بیان کرد: در سال ج…
امروز را آغاز میکنیم با نام خدایی که همین نزدیکیهاست خدایی که عشق را در ما نهاد و عاشقی را در سفرهی دل ما جای داد 🌞امروزتون پر از خیر و خوشی 🍃 @infostorie 🍃
👍2
🚫 یکی از راهکارهای مناسب برای ترک #خودارضایی، اجتناب از مصرف خوراکی هایی نظیر: ⇠ موز ⇠ قهوه ⇠ آووکادو ⇠ فلفل قرمز ⇠ شکلات است چرا که این خوراکی ها محرک #میل_جنسی محسوب میشوند! 🌱 @lifes_method 🌱
🔴اشتباهات رایج بانوان در نزدیکی و معاشقه با همسر ▼ نگران وضعیت ظاهرتان باشید فکر کردن به وضعیت ظاهرتان حین س.ک.س باعث میشود نتوانید خودتان از رابطه لذت ببرید و شانس رسیدن شما به ارگاس.م را پایین میآورد. "به چربیهای روی شکمتان یا آرایش روی صورتتان فکر نکنید. فقط تمرکزتان روی لذت آن لحظه باشد. باید به خودتان اجازه ارگاس.م شدن بدهید. مردها دوست دارند که همسرشان خود را در رابطه جنسی رها کند و اگر بخواهید نگران ظاهرت…
🟢 5 نکته ضروری برای اولین نزدیکی : در کل برای آمیزش بهتر و کم درد در اولین تجربه باید نکات زیر را توجه نمود : ۱- معاشقه طولانی تا رسیدن به مرحله ارگاسم ۲- استفاده از ژل لوبریکانت ۳- بهتر است دختر لبه تخت دراز بکشد جوری که پاهای وی کاملا روی زمین قرار بگیرد در این صورت کمترین درد و فشار به دختر وارد میشود. ۴- دختر را باید قبل از نزدیکی از نظر روحی آماده کرد ۵- درصورت داشتن درد شدید از ادامه نزدیکی خودداری کنید. 🌱 @…
صبح، همان روزنهی امیدی هست که بعد از سیاهی شب لبخند را بر لب میآورد برایتان لبخندهای بی پایان آرزو میکنم 🌹سلام 🌞صبحتون بخیر 🍃 @infostorie 🍃
7 جمله دردسر ساز در دعواهای زناشویی برای آنکه یک بحث لفظی بین زوجین، تبدیل یک مبارزه بوکس نشود، برخی جملات و رفتارها را هرگز نباید به کار برد. تو شغلت را به خانواده ترجیح میدهی! در خانه هیج کاری نمیکنی! مادرت غیرقابل تحمله! تو به من گوش نمیکنی! دیگر نمیتوانم به تو اعتماد کنم! تو یک احمق هستی! در پیغام متنی: "تو هیچ وقت هیچی نمیفهمی!" 🌱 @lifes_method 🌱
۴ قانون برای نجات زندگی زناشویی وجود داره داره: 🌱 @lifes_method 🌱
🟢اهمیت رابطه جنسی بر روی زوجین مردان بیشتر از آنکه به جا ،مکان یا غذا بهاء دهند به سکـس اهمیت میدهند ⇠ بنابراین هیچ وقت رابطه جنسی را حذف نکنید بیشتر مواقع نداشتن رابطه جنسی مناسب باعث بروز اختلاف بین زن و شوهرها میشود سعی کنید هفته ای 3بار رابطه جنسی داشته باشید. 🌱 @lifes_method 🌱
Showing the 12 most recent of 24 posts we hold for @lifes_method. 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 — 723,112 of 1,151,006entries 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.
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.
Named by 3 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.
Named by
Channels on the register whose posts name this channel's handle.
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.
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.
“روش جدید زندگی” (@lifes_method), 6,491 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/lifes_method.
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.