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Channel

Tacticalca

@Tacticalca

On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry

378subscribers

+351 since we began measuring on 31 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003997157575
TypeChannel
Username@Tacticalca
CreatedBetween 1 April 2026 and 27 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded31 August 2026
Last confirmed live18 September 2026
Measurements held4
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/Tacticalca

Topic

Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 22 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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.

Growth

27378202.531 August 2026 — 27 subscribers31 August 2026 — 28 subscribers9 September 2026 — 313 subscribers18 September 2026 — 378 subscribers31 August 202618 September 2026
4 measurements spanning 18 days, net +351. 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”.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
18 Sept 2026, 18:18378+65
9 Sept 2026, 11:39313+285
31 Aug 2026, 16:3828+1
31 Aug 2026, 09:0027first reading

Engagement

15 posts held, back to 27 August 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 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.23%
avg views ÷ 378 subscribers
Avg views / post
16.0
3 posts measured
Reaction rate
11.8%
reactions ÷ views · ER floor
Posts in window
3
of 15 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 2 of 3 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 31 August 2026
Posts held15 (27 August 2026 – 31 August 2026)
Views total48
Reactions total4
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken31 Aug 2026, 09:00 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.

Reaction mix

25 reactions across 11 posts, in 4 distinct kinds. The most used accounts for 72.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1872.0%
🔥520.0%
👍14.00%
👏14.00%

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 15 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 25 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 15 most recent posts we hold, published 27 August 2026 to 31 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

31 Aug 2026, 08:03 UTC17 views2 reactionsread 31 August 2026

🪖تحلیل جامع کالیبرهای پیستولی مدرن ━━━━━━━━━━━━━━━━━━━━━━━━━ 🔺 مفاهیم پایه‌ای که باید بدونیم پیش از ورود به تحلیل هر کالیبر، چند مفهوم فنی باید روشن شود: 🔹 کالیبر (Caliber): قطر داخلی لوله و متناسباً قطر گلوله، که بر حسب اینچ (مثل .45) یا میلی‌متر (مثل 9mm) بیان می‌شه. 🔹 وزن گلوله (Bullet Weight): واحد اندازه‌گیری آن گرین (grain) است؛ هر پوند معادل ۷۰۰۰ گرینه. وزن گلوله مستقیماً روی انرژی نهایی و رفتار نفوذ تاثیر …

❤2

31 Aug 2026, 08:03 UTC17 views2 reactionsread 31 August 2026

🔷 کالیبر .357 Magnum — ارتقای قدرتمند نسخه طولانی‌تر و پرقدرت‌تر .38 Special با شهرت بالا در قدرت توقف‌دهندگی. نکته فنی حیاتی: این مسیر فقط یک‌طرفه‌ست — فشنگ .357 Magnum هرگز نباید در سلاح طراحی‌شده برای .38 Special شلیک بشه، چون فشار بالاتر می‌تونه به سلاح و تیرانداز آسیب برسونه. ━━━━━━━━━━━━━━━━━━━━━━━━━ کدام کالیبر مناسب چه کاربردی‌‌ست؟ انتخاب کالیبر همیشه یک مصالحه بین قدرت، لگد، ظرفیت و هزینه است، نه یک پاسخ م…

❤1👍1

30 Aug 2026, 15:35 UTC63 views5 reactionsread 31 August 2026

━━━━━━━━━━━━━━━━━━━━━━━━━ چرا M9 هنوز یک افسانه زنده است؟ نزدیک به پنج دهه از معرفی Beretta 92 می‌گذرد، و این عدد به‌تنهایی گویای همه‌چیز‌ است. در دنیایی که هر چند سال یک پلتفرم جدید ادعای انقلابی بودن می‌کند، این سلاح توانسته از جنگ سرد تا عملیات‌های امروزی، همچنان روی کمربند سربازان و پلیس‌های سراسر جهان بماند. نقاط قوتی که این سلاح را ماندگار کردند: ✅ قابلیت اطمینان اثبات‌شده: میلیون‌ها شلیک در شرایط صحرایی، کوهس…

❤4👏1

30 Aug 2026, 15:35 UTC54 views5 reactionsread 31 August 2026

سلاح Beretta 92/M9 ━━━━━━━━━━━━━━━━━━━━━━━━━ 🔷 پیشینه و زمینه توسعه اسلحه Beretta 92 محصول کارخانه ایتالیایی Fabbrica d'Armi Pietro Beretta (قدیمی‌ترین تولیدکننده فعال سلاح در جهان، تاسیس ۱۵۲۶) است که در سال ۱۹۷۵ توسط تیم مهندسی به سرپرستی Carlo Beretta و Giuseppe Mazzetti طراحی شد. این سلاح ترکیبی هوشمندانه از دو طراحی موفق قبلی بود: مکانیزم قفل‌کننده از Walther P38 (جنگ جهانی دوم) و برخی جنبه‌های ارگونومیک از پیستو…

❤5

28 Aug 2026, 06:28 UTC58 views1 reactionsread 31 August 2026

🔷 جمع‌بندی انتخاب سیستم عملکرد همیشه یک مصالحه مهندسی (Engineering Trade-off) بین چهار متغیر اصلیه: وزن، دقت، قابلیت اطمینان، و پیچیدگی نگهداری. هیچ سیستمی «برتر مطلق» نیست؛ انتخاب درست کاملاً به سناریوی عملیاتی مورد نظر بستگی داره: 📍 عملیات دقیق و سبک‌وزن > گاز مستقیم 📍 تعادل بین وزن و قابلیت اطمینان > پیستون کوتاه‌کورس 📍 شرایط محیطی بسیار نامساعد > پیستون بلندکورس #آموزش_نظامی #سلاح‌شناسی #تفنگ_تهاجمی ━━━━━━━━━━…

❤1

28 Aug 2026, 06:28 UTC55 views0 reactionsread 31 August 2026

🎓 #آموزش_تخصصی | سیستم‌های عملکرد در تفنگ‌های خودکار مدرن یکی از مهم‌ترین و اولین چیزهایی که در تحلیل فنی هر سلاح خودکار باید بررسی بشه، «سیستم عملکرد» یا Operating System است. این سیستم مشخص می‌کنه که سلاح بعد از هر شلیک، چطور خودش رو برای شلیک بعدی آماده می‌کنه. ━━━━━━━━━━━━━━━ چرا این مفهوم پایه هر تحلیل فنیه؟ هر تفنگ خودکار برای تکرار عملیات شلیک (Cycle of Operation) به انرژی نیاز داره. این چرخه شامل پنج مرحله‌…

27 Aug 2026, 16:35 UTC51 views2 reactionsread 31 August 2026
Photo

Red Squadron | اسکادران قرمز SEAL Team Six (DEVGRU): U.S. Navy’s ELITE Tier One Unit این اسکادران جز ۴ اسکادران تهاجمی(Assault / Direct Action) DEVGRU هست. در مجموع ۶ اسکادران DEVGRU تا به امروز به‌طور علنی معرفی شده اند که ۴ تای آنها تهاجمی و ۲ تای دیگر اطلاعاتی/پشتیبانی هستند. @Tacticalca

❤1🔥1

27 Aug 2026, 13:40 UTC57 views1 reactionsread 31 August 2026

بررسی فنی و کامل اسلحه های انفرادی، تاکتیک ها و تجهیزات فردی Military Weapons & Tactical Gear Facts, specifications, history & analysis. @Tacticalca

❤1

Showing the 12 most recent of 15 posts we hold for @Tacticalca. 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.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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

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.

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

“Tacticalca” (@Tacticalca), 378 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/Tacticalca.

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.