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Channel

HSE Agent

@hsefire_ir

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Telegram's recommendations · Cite this entry

1,905subscribers

-3 since we began measuring on 11 September 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1002084147434
TypeChannel
Username@hsefire_ir
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded11 September 2026
Last confirmed live17 September 2026
Measurements held4
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/hsefire_ir

Growth

1,9051,9081,906.511 September 2026 — 1,908 subscribers11 September 2026 — 1,908 subscribers13 September 2026 — 1,906 subscribers17 September 2026 — 1,905 subscribers11 September 202617 September 2026
4 measurements spanning 6 days, net -3. 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 1,905–1,908 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Sept 2026, 16:401,905-1
13 Sept 2026, 04:391,906-2
11 Sept 2026, 14:221,908no change
11 Sept 2026, 13:471,908first reading

Engagement

20 posts held, back to 29 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 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
8.36%
avg views ÷ 1,905 subscribers
Avg views / post
159
20 posts measured
Reaction rate
1.04%
reactions ÷ views · ER floor
Posts in window
20
of 20 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 4 of 20 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 9 September 2026
Posts held20 (29 August 20269 September 2026)
Views total3,187
Reactions total6
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Sept 2026, 14:22 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
8m 20s
Average length
45s

Measured directly from 11 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

6 reactions across 4 posts, in 4 distinct kinds. The most used accounts for 50.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
350.0%
👌116.7%
👍116.7%
🙏116.7%

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 4 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 6 reactions 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 29 August 2026 to 9 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.

Recent posts

9 Sept 2026, 17:12 UTC100 views1 reactionsread 11 September 2026
Video

#کاربرد_هوش_مصنوعی 🤖 #هدف 🎯 : لب خوانی #ابزار 🛠 : هوش مصنوعی everypixel 1- وارد آدرس هوش مصنوعی everypixel شوید و با جیمیل لاگین کنید : https://app.everypixel.com/ 2- از ساید بار سمت چپ روی Lip Sync کلیک کنید تا پنجره آن باز شود 3- عکس کاراکتر را به همراه فایل صوتی که قرار است لبخوانی کند را بارگذاری کنید 📸🎵 4- حالا روی دکمه بنفش Generate کلیک کنید و تمام ✨ این هوش مصنوعی امکانات دیگری نظیر تولید عکس و ویدئو هم دا

1

9 Sept 2026, 13:22 UTC93 viewsread 11 September 2026

⚡️ الکتریسیته ساکن در صنایع نفت و گاز — اهمیت سیستم‌های هم‌بندی و ارتینگ! 🔥 یک جرقه کوچک ناشی از الکتریسیته ساکن در حضور اتمسفر قابل اشتعال می‌تواند منجر به آتش‌سوزی یا انفجاری فاجعه‌بار شود. #الکتریسیته_ساکن می‌تواند در حین موارد زیر انباشته شود: 🔹 انتقال سوخت و مایعات 🔹 بارگیری و تخلیه تانکرها 🔹 پمپاژ و فیلتراسیون 🔹 عملیات اختلاط (Blending) 🔹 جابجایی افراد و تجهیزات 🔗 هم‌بندی (Bonding) در مقابل 🌎 اتصال به زمین

9 Sept 2026, 13:21 UTC86 viewsread 11 September 2026
Video

#ایمنی_برق #الکتریسیته_ساکن https://t.me/HSE_Agent

9 Sept 2026, 09:16 UTC99 viewsread 11 September 2026
Video

#کاربرد_هوش_مصنوعی 🤖 #هدف 🎯 : ساخت ویدئوی آموزشی #ابزار 🛠 : هوش مصنوعی جمینای و MagicLight 1- در هوش مصنوعی جمینای به آدرس زیر 📝 https://gemini.google.com/app این پرامپت را نوشتم : write me a story about a man who didn't obey safety rules in a workplace and had an accident 2- وارد هوش مصنوعی مجیک لایت شدم و با جیمیل لاگین کردم 🔐. داستانی رو که جمینای نوشته بود در بخش تولید ویدئو، جایگذاری کردم 🎬 https://magiclight.a

8 Sept 2026, 18:37 UTC103 viewsread 11 September 2026
Video

بررسی کلاس های #حریق #آتش_نشانی https://t.me/HSE_Agent

7 Sept 2026, 15:04 UTC131 views3 reactionsread 11 September 2026
Video

تفاوت بین Grounding و Earthing #ایمنی_برق https://t.me/HSE_Agent

1👌1🙏1

5 Sept 2026, 16:33 UTC166 views1 reactionsread 11 September 2026
Video

🚨 ورود به #فضای_بسته یا محصور — هرگز کوتاهی نکنید پیش از ورود، وضعیت جوی را آزمایش کنید، انرژی‌های خطرناک را مهار نمایید و صحت جداسازی را تایید کنید. گاز H₂S می‌تواند موجب مسمومیت شود، LEL می‌تواند منجر به اشتعال گردد و انرژی مهارنشده می‌تواند مرگبار باشد. ✔️ سنجش میزان H₂S و LEL ✔️ جداسازی، قفل‌گذاری و تایید نهایی ✔️ پایش مستمر و حفظ آمادگی برای شرایط اضطراری https://t.me/HSE_Agent

1

5 Sept 2026, 05:26 UTC156 viewsread 11 September 2026
Video

🔥 تنها یک جرقه برای تغییر همه چیز کافی است ⚠️ حوادث ناشی از عملیات گرم در عرض چند ثانیه گسترش می‌یابند؛ آن‌ها به شما هشدار نمی‌دهند. بخارات باقی‌مانده حتی پس از «تخلیه» خطوط لوله نیز می‌توانند به حد پایین انفجار (LEL) برسند. 🧪⚡️ مفهوم «انرژی صفر» تنها مختص تجهیزات الکتریکی نیست و شامل مواد شیمیایی نیز می‌شود. هرگز تصور نکنید که تخلیه به معنای پاکسازی (Purging)، یا تکمیل مستندات به معنای تایید نهایی است. 👉 پیش از او

5 Sept 2026, 05:22 UTC139 viewsread 11 September 2026
Video

🏗 ایمنی قلاب #جرثقیل – پیش از باربرداری، دقیق‌تر بررسی کنید قلاب جرثقیل ممکن است در نگاه نخست ایمن به نظر برسد، اما فرسودگی، ترک‌خوردگی، تغییر شکل، بازشدگی بیش از حد دهانه یا نقص در ضامن ایمنی می‌تواند منجر به حوادث ناگوار در حین باربرداری شود. 🔍 پیش از هر عملیات باربرداری، قلاب را به دقت بازرسی کنید. ⚠️ وجود آسیب‌های ظاهری، فرسودگی بیش از حد، تغییر شکل و عملکرد صحیح ضامن ایمنی را بررسی نمایید. 🦺 هرگز از قلاب آسیب‌

4 Sept 2026, 19:21 UTC143 viewsread 11 September 2026
Photo

#کاربرد_هوش_مصنوعی 🤖 #هدف 🎯 : ساخت فلوچارت #ابزار 🛠 : هوش مصنوعی چت بات و هوش مصنوعی Notion 1- از هر هوش مصنوعی چت بات مثل Chat GPT استفاده کنید 📱 من از Gemini استفاده کردم و این پرامپت را به عنوان مثال نوشتم : کد ساخت فلوچارت مدیریت رویدادها رو بر اساس سازمان OSHA بهم بده . فلوچارت رنگی و زیبا و محتویات آن فارسی باشد 🎨 2- کد با فرمت mmd است . آن را کپی کنید و وارد هوش مصنوعی Notion شوید با جیمیل شخصی لاگین کنید :

Showing the 12 most recent of 20 posts we hold for @hsefire_ir. 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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

$BERSERK Channel ($SOL Airdrop)
@sol_airdrop_berserk · 33,923
Telegram ranks this channel #13 of 50 here — alongside 49 others — read 18 September 2026
نایاب نت | nayabnet
@nayabnet_vip · 30,538
Telegram ranks this channel #33 of 50 here — alongside 49 others — read 11 September 2026

This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 17 September 2026 — this entry's latest reading, not the date you are reading this.

“HSE Agent” (@hsefire_ir), 1,905 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/hsefire_ir.

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.