Channel photo updated

Channel
Osint Losena
@OsintLosena
On this record: Growth · Engagement · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cite this entry
7,838subscribers
+167 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1001619134470 |
|---|---|
| Type | Channel |
| Username | @OsintLosena |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 4 September 2026 |
| Measurements held | 11 |
| Confirmed unchanged | 1 time, most recently 4 September 2026 |
| On Telegram | t.me/OsintLosena |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 4 Sept 2026, 22:37 | 7,838 | +23 |
| 1 Sept 2026, 03:15 | 7,815 | +3 |
| 28 Aug 2026, 21:16 | 7,812 | +20 |
| 26 Aug 2026, 03:13 | 7,792 | +9 |
| 23 Aug 2026, 07:54 | 7,783 | +21 |
| 19 Aug 2026, 15:58 | 7,762 | +23 |
| 16 Aug 2026, 15:16 | 7,739 | +22 |
| 13 Aug 2026, 02:04 | 7,717 | +19 |
| 10 Aug 2026, 05:11 | 7,698 | +25 |
| 7 Aug 2026, 06:14 | 7,673 | +2 |
| 7 Aug 2026, 04:45 | 7,671 | first reading |
Engagement
32 posts held, back to 23 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 18 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 14.1%
- avg views ÷ 7,838 subscribers
- Avg views / post
- 1,100
- 10 posts measured
- Reaction rate
- 0.226%
- reactions ÷ views · ER floor
- Posts in window
- 11
- of 32 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.
| Window | Rolling 30 days · latest post in window 28 August 2026 |
|---|---|
| Posts held | 32 (23 July 2026 – 28 August 2026) |
| Views total | 11,038 |
| Reactions total | 25 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 28 Aug 2026, 20:35 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
58 reactions across 25 posts, in 8 distinct kinds. The most used accounts for 41.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🤓 | 24 | 41.4% | |
| 👏 | 11 | 19.0% | |
| 😁 | 7 | 12.1% | |
| 🫡 | 6 | 10.3% | |
| 😱 | 4 | 6.90% | |
| 🤝 | 3 | 5.17% | |
| 🤯 | 2 | 3.45% | |
| ⚡ | 1 | 1.72% |
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 25 of the 32 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 58 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 32 most recent posts we hold, published 23 July 2026 to 28 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.
Telegram Stars
- Stars received
- 1
- across the posts below
- Posts paid on
- 1
- of 30 we hold a reading for · 3%
- Most on one post
- 1
- single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @OsintLosena. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 32 most recent posts we hold for this entry, published 23 July 2026 to 28 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Recent posts
Slang Translators and Resources: British Slang http://www.britishslang.co.uk Drug Slang Glossary https://www.banyanstuart.com/slang-glossary Gizoogle http://gizoogle.net/textilizer.php Noslang http://www.noslang.com Slangit http://slangit.com Street or Slang Names for Drugs https://www.snohd.org/DocumentCenter/View/2516/Drug_Names_Slang_2019_05_09?bidId=termwiki https://www.termwiki.com transL8it! http://www.transl8…
🤓4
👇 Part 3 Translate.com https://www.translate.com Translation2 http://translation2.paralink.com Translator http://www.stars21.com/translator Unbabel https://unbabel.com WhatLanguageIsThis https://whatlanguageisthis.com Wiktionary https://www.wiktionary.org WorldLingo http://www.worldlingo.com WorldReference.com http://www.wordreference.com Yandex Translate https://translate.yandex.ru
🤓2
👇 Part 2 imTranslator http://imtranslator.net/translation India Typing http://indiatyping.com/index.php/translations/english -to-hindi-translation Irish Translator http://www.whoohoo.co.uk/irish-translator.asp iTranslate https://www.itranslate.com iTranslate Voice http://itranslatevoice.com Leo https://www.leo.org/german-english Lexicool Translation http://www.lexicool.com/translate.asp Lexilogos https://www.lexilog…
🤓3
📌 Translation and Language Tools Foreign Language Translation Tools: 2lingual http://www.2lingual.com Apertium https://www.apertium.org Babelfish https://www.babelfish.com Bab.la https://en.bab.la Bablic https://www.bablic.com Babylon https://translation.babylon-software.com Baidu Translation https://fanyi.baidu.com Bing Translator http://www.bing.com/translator Cambridge Dictionary https://dictionary.cambridge.org …
🤓2👏1
Fact Checking and Verification: Media Bias / Fact https://mediabiasfactcheck.com Media Matters https://www.mediamatters.org Open Secrets https://www.opensecrets.org Pw Research Center Fact Tank https://www.pewresearch.org/fact-tank Politifact https://www.politifact.com Reporters Lab Fact Checking https://reporterslab.org/fact-checking ReviewMeta https://reviewmeta.com Snopes http://www.snopes.com StopFake http://www…
🤓2
Fact Checking and Verification: AfricaCheck https://africacheck.org AIDR http://aidr.qcri.org AltNews https://www.altnews.in AP Fact Check https://apnews.com/hub/ap-fact-check Channel4 FactCheck https://www.channel4.com/news/factcheck Check https://meedan.com/en/check Chequeado http://chequeado.com Citizen Desk https://www.sourcefabric.org/en/citizendesk Credder https://credder.com Emergent http://www.emergent.info …
😁2
Finding Newsletters: letterlist https://letterlist.com Milled https://milled.com Newsletter Slack https://newsletterstack.com
🤓1
Media Monitoring:👥 https://www.agilitypr.com https://burrelles.com https://www.criticalmention.com https://www.emediamonitor.net https://emm.newsbrief.eu/overview.html https://ezyinsights.com http://www.iq.media https://www.isentia.com https://www.lexisnexis.com/en-us/products/newsdesk.page https://www.mediamonitors.com https://www.meltwater.com https://metromonitor.com https://muckrack.com https://newsbox.com https…
🫡4
News Digest and Discovery Tools: News and Rumors https://newsandrumors.com NewsBot https://getnewsbot.com Newseum - Today Front Pages http://www.newseum.org/todaysfrontpages News Explorer https://betamagic.nl/products/newsexplorer.html NewsLookup http://www.newslookup.com News Map http://newsmap.jp News Now http://www.newsnow.co.uk Newsography http://newsography.com newsola https://www.newsola.com noovell https://n…
🤓1
News Digest and Discovery Tools: 10000 Flies http://www.10000flies.de 1st Headlines http://www.1stheadlines.com AllTop https://alltop.com anderpink https://anderspink.com Banjo https://ban.jo Bing News http://www.bing.com/news Blende https://launch.blendle.com Brief https://www.briefbeta.com Correct Search http://correctsearch.com EMM http://emm.newsbrief.eu/NewsBrief/ clusteredition/en/latest.html Factiva http://ww…
😁3
Working with News: Newspapers and News Directories ABYZNewsLinks http://www.abyznewslinks.com AllYouCanRead http://www.allyoucanread.com DailyEarth http://dailyearth.com East view: Newspaper https://www.eastview.com/resources/newspapers Google News Print Archive http://news.google.com/newspapers HeadlineSpot Library of Congress – US http://www.headlinespot.com http://chroniclingamerica.loc.gov/search/titles || Newsp…
🤓1
Showing the 12 most recent of 32 posts we hold for @OsintLosena. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
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.
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.
@ctinow · 37,976
Telegram ranks this channel #25 of 42 here — alongside 41 others — read 31 August 2026
@osint_mindset · 64,457
Telegram ranks this channel #41 of 83 here — alongside 82 others — read 21 August 2026
@techlucker · 43,594
Telegram ranks this channel #45 of 79 here — alongside 78 others — read 28 August 2026
@Lefaroll · 29,898
Telegram ranks this channel #61 of 62 here — alongside 61 others — read 8 September 2026
@irozysk · 46,119
Telegram ranks this channel #61 of 79 here — alongside 78 others — read 27 August 2026
@CyberSecurityIL · 40,462
Telegram ranks this channel #62 of 64 here — alongside 63 others — read 30 August 2026
This channel appears in 6 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 4 September 2026 — this entry's latest reading, not the date you are reading this.
“Osint Losena” (@OsintLosena), 7,838 subscribers as measured 4 September 2026. Telegram Register, tgregister.com/channel/OsintLosena.
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.