Channel
@woysa_analitika
On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
2,173subscribers
-1 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001670024648 |
|---|---|
| Type | Channel |
| Username | @woysa_analitika |
| Created | Between 1 December 2021 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 10 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 10 August 2026 |
| On Telegram | t.me/woysa_analitika |
Marketing & affiliate — 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 48% 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 1 other registered channel. 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 |
|---|---|---|---|
| @woysa_school/230020 Feb 2025, 10:33 UTC | @woysa_analitika/1069 · this entry20 Feb 2025, 10:43 UTC | 1.00 | 10 minutes |
| @woysa_school/23063 Mar 2025, 09:13 UTC | @woysa_analitika/1071 · this entry3 Mar 2025, 09:13 UTC | 1.00 | under a minute |
| @woysa_school/23073 Mar 2025, 09:32 UTC | @woysa_analitika/1072 · this entry3 Mar 2025, 12:37 UTC | 1.00 | 3.1 hours |
| @woysa_school/23115 Mar 2025, 09:57 UTC | @woysa_analitika/1073 · this entry5 Mar 2025, 09:58 UTC | 1.00 | 2 minutes |
| @woysa_school/229520 Feb 2025, 08:11 UTC | @woysa_analitika/1064 · this entry20 Feb 2025, 08:12 UTC | 0.93 | under a minute |
| Channel | Matching posts | Text overlap | Typical gap | Published first |
|---|---|---|---|---|
| @woysa_school | 5 (5/5 hand-verifiable sample passed) | 0.99 | 2 minutes | @woysa_school (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. None of the 5 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 16 comparable posts for this entry, running 23 December 2024 to 5 March 2025. 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 2, the earliest publisher we hold is @woysa_school. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_copy, 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 1 other registered channel, 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 |
|---|---|---|
| 10 Aug 2026, 04:20 | 2,173 | -1 |
| 7 Aug 2026, 14:47 | 2,174 | no change |
| 7 Aug 2026, 12:28 | 2,174 | first reading |
20 posts held, back to 23 December 2024 — the 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 5 March 2025. An engagement rate over an empty window would be a number about nothing.
Measured directly from 2 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.
18 reactions across 12 posts, in 5 distinct kinds. The most used accounts for 61.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 11 | 61.1% | |
| 💯 | 3 | 16.7% | |
| 😁 | 2 | 11.1% | |
| 🎉 | 1 | 5.56% | |
| 👍 | 1 | 5.56% |
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 20 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 18reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 23 December 2024 to 5 March 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.
У кого есть проблемы с выбором товара? Кто хочет научиться выбирать его правильно? Срочный сбор🚨 Давайте честно: каждый селлер хоть раз сталкивался с этим (новички, вам особенно стоит прочитать дальше👇🏻) Ты ломаешь голову, анализируешь, смотришь тренды, мониторишь конкурентов… В итоге что? 💬 «Этот товар точно будет бомбой!» (а он не продаётся) 💬 «Вижу, что у конкурента идёт, тоже зайду!» (и сидишь в минусе) 💬 «Про…
После оплаты в течение 60 минут с вами свяжется менеджер Каждого ждет очень приятный подарок🙌🏻 Подарок, естественно, связан с сервисом аналитики😄
Менеджер НЕ ДОЛЖЕН делать это. Вы вообще в курсе? Давайте честно: каждый менеджер хоть раз сталкивался с этим (селлеры, вам тоже полезно почитать, как иногда чувствуют себя ваши сотрудники)👇🏻 Работаешь на износ, всё анализируешь, следишь за остатками, настраиваешь рекламу, общаешься с селлером… А в итоге что? 💬 «Зарплата 20-30к за проект» 💬 «Нужно быть на связи 24/7» 💬 «Бюджета на рекламу нет, а селлер хочет прода…
💯3❤1
Хочешь увидеть продажи конкурентов в реальном времени?🔥 Функционал, которого ты не найдешь больше нигде. Мы долго его разрабатывали, довели его до идеала, но пока им пользуются далеко не все. А зря! Ты загружаешь артикул или ссылку – и видишь, как товар заказывают прямо сейчас. Каждую секунду, без задержек. Подробнее про инструмент смотри на видео👆🏻 Что ты сможешь делать? ✔️ Отслеживать заказы конкурентов – кто пр…
Это будет реальная экономика любого товара на WB Настоящая: недодуманная, недомысленная, неусредненная, а именно та, с которой продается товар на WB. Товар вашего конкурента или товар, который вы хотите продавать! В общем, вот такие мысли у меня, жду обратную связь от вас👆🏻
Video message, posted without a caption
Video message, posted without a caption
😁2
Video message, posted without a caption
Пояснение к предложению выше👆🏻 Кто пропусти, читайте начало здесь Дальше слушайте внимательно кружки и отписывайтесь либо в комментариях плюсами, либо заполняйте анкету И то, и другое займет меньше минуты! Жду ваши мнения!
Кто хочет узнать реальные конверсии товара в воронке продаж на WB? У меня появился крутая идея! И я хочу понять, интересно ли вам это! Сейчас мы с командой рассматриваем запуск бота, который поможет узнать реальные конверсии товаров на Wildberries Информация, которая позволит точно понять, сколько людей покупают тот или иной товар. Это будет полезно для подбора и для запуска собственного товара! С помощью этого б…
😡🚫⚠️ Потом не говорите, что не видели..... Через 30 минут закончится история, длиной почти в 2 года! – Сотни выпущенных обучающих программ – Огромное количество презентаций – Бесконечное количество созвонов с учениками – Тысячи часов эфиров – Большее 500 отзывов Прямо сейчас ПОСЛЕДНЯЯ возможность пройти обучение в группе со мной и Надеждой Павловой 👉🏻 Это не шутка и не кликбейт – уже завтра все курсы закроются на…
❤1👍1
‼️ОСТАЛОСЬ 60 МИНУТ. ЭТО ПОСЛЕДНИЙ ШАНС Последнее Китайское предупреждение! ⏩ Китайское – потому что вы еще можете стать участником последней обучающей группы по закупкам в Китае с Надеждой Павловой ⏩ Последнее – потому что сегодня в 13:00 мы навсегда закрываем набор на групповое обучение в школе WOYSA На раздумья остался ровно 1 час. Потом будет поздно – оплаты приниматься не будут! Все курсы по выбору товара, …
❤1
Showing the 12 most recent of 20 posts we hold for @woysa_analitika. 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.
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 10 August 2026 — this entry's latest reading, not the date you are reading this.
“Богатый WBшник | WOYSA” (@woysa_analitika), 2,173 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/woysa_analitika.
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.