Нержавейка ржавела через месяц после сварки - и дело было не в руках сварщика, а в баллоне с газом. Разбираем реальный кейс: какой газ использовали, почему это критично именно для нержавейки, и какие смеси выбрать вместо него. Смотрите в нашей карусели 😉 А если сомневаетесь в выборе газа под свою задачу - пишите в директ, поможем подобрать 😁

Channel
ОЛИВЕР | OLIVER BY
@oliver_belarus
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
200subscribers
+0 since we began measuring on 11 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1002269658898 |
|---|---|
| Type | Channel |
| Username | @oliver_belarus |
| Created | Between 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 11 August 2026 |
| Last confirmed live | 11 August 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 11 August 2026 |
| On Telegram | t.me/oliver_belarus |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Aug 2026, 15:03 | 200 | no change |
| 11 Aug 2026, 05:32 | 200 | first reading |
Engagement
9 posts held, back to 16 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 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 37.2%
- avg views ÷ 200 subscribers
- Avg views / post
- 74.4
- 9 posts measured
- Reaction rate
- 4.17%
- reactions ÷ views · ER floor
- Posts in window
- 9
- of 9 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 8 of 9 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 10 August 2026 |
|---|---|
| Posts held | 9 (16 July 2026 – 10 August 2026) |
| Views total | 670 |
| Reactions total | 27 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 11 Aug 2026, 05:32 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
- Video runtime
- 4m 21s
- Average length
- 44s
Measured directly from 6 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
27 reactions across 8 posts, in 8 distinct kinds. The most used accounts for 33.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 9 | 33.3% | |
| ❤🔥 | 8 | 29.6% | |
| 🔥 | 4 | 14.8% | |
| ✍ | 2 | 7.41% | |
| 👌 | 1 | 3.70% | |
| 👍 | 1 | 3.70% | |
| 👏 | 1 | 3.70% | |
| 🙈 | 1 | 3.70% |
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 9 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 27reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 9 most recent posts we hold, published 16 July 2026 to 10 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
Автомат vs полуавтомат: в чём принципиальная разница? В одном случае сварщик всё ещё ведёт горелку вручную, в другом — только настраивает оборудование и контролирует процесс. Показываем на примере сварочного трактора, который тестировали на одном из заводов в Беларуси: как он едет вдоль шва, почему не допускает микроколебаний, которые есть при ручной сварке, и самое главное, - когда переход на автомат реально окупа…
✍2🔥1
Секрет идеального сварного шва — в одном движении 👇 Техника «walking the cup» (или «американка») позволяет опирать сопло горелки прямо на деталь. Никакого дрожания рук, стабильная дуга и идеальная защита газовой ванны! А подробнее про эту технику смотрите в нашем видео😉 Применяете «американку» на практике? Делитесь опытом в комментариях!
❤🔥4
Советская школа сварки против американской - кто круче? 🤯 Союз делал упор на автоматизацию процессов и промышленный размах, а США тем временем оттачивали ручную аргонодуговую сварку («американку») до совершенства. Сейчас именно она считается эталоном там, где каждый шов обязан пройти стопроцентную рентгеновскую проверку: атомная энергетика, трубопроводы, пищевое и фармацевтическое производство. Так а кто круче, спр…
❤🔥4🙈1
Не получается сварить корневой шов стыковых пластин в потолочном положении полуавтоматом? Это видео от @RussianWT для Вас 😉 В видео разобрали: 👉🏻 Подготовку металла: притупление, зазор и как это влияет на провар и утяжку с обратной стороны; 👉🏻 Сборку и прихватки, чтобы заготовки не повело и зазор не изменился при сварке; 👉🏻 Настройку полуавтомата под потолочное положение: скорость подачи проволоки и напряжение на ко…
❤1👌1🔥1
При горении дуги на покрытом электроде выделяется несколько групп веществ 👇🏻 Первая — аэрозоли металлов: оксиды железа, марганца, хрома (для нержавейки). Вторая — газы: угарный газ CO, оксиды азота, фтористый водород — особенно при основном покрытии. Третья — озон — при сварке алюминия и нержавейки в среде инертного газа Чем это опасно? Марганец при длительном воздействии поражает нервную систему. Оксиды азота разд…
❤5
Мы долго размышляли над тем, как лучше всего передать историю и душу нашего производства. И пришли к простому выводу: искреннее и точнее, чем основатель компании, об этом не расскажет никто. Именно поэтому мы запускаем новую рубрику - «Из первых уст»! В первом видео директор и учредитель производственной компании OLIVER Василий Григорьевич делится тем, с чего начинался наш путь: от торговли сварочными материалами и…
❤2👏1🔥1
А Вы ждете, когда Вас заменит ИИ? 😁
👍1
А вы знали, что кузов Tesla сваривают роботы?! Звучит как идеальный завод? Но даже Илон Маск с этим не согласился. Спойлер: автоматизация ЗАМЕДЛИЛО производство. Что пошло не так — смотрите в нашем рилс 😁
❤1🔥1
Showing the 9 most recent of 9 posts we hold for @oliver_belarus. 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
Citation-graph rank — 972,779 of 1,350,102entries 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.
Mentions
Named by 1 registered channel — 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.
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 11 August 2026 — this entry's latest reading, not the date you are reading this.
“ОЛИВЕР | OLIVER BY” (@oliver_belarus), 200 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/oliver_belarus.
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.