Channel
@lenorixinfo
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
65subscribers
+1 since we began measuring on 9 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1004350874101 |
|---|---|
| Type | Channel |
| Username | @lenorixinfo |
| Created | 27 July 2026 — measured — dated from the channel’s first post |
| First recorded | 10 August 2026 |
| Last confirmed live | 10 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 10 August 2026 |
| On Telegram | t.me/lenorixinfo |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Aug 2026, 15:41 | 65 | +1 |
| 10 Aug 2026, 03:02 | 64 | no change |
| 9 Aug 2026, 22:15 | 64 | first reading |
13 posts held, back to 27 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 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 3 of 12 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 27 July 2026 |
|---|---|
| Posts held | 13 (27 July 2026 – 27 July 2026) |
| Views total | 3,760 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 10 Aug 2026, 03:02 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.
1 reaction across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 1 | 100.0% |
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 3 of the 13 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 1reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 13 most recent posts we hold, published 27 July 2026 to 27 July 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.
⭐𝖱𝖮𝖫𝖤𝖲⭐ 𝖻𝗎𝗌𝗒 — 📿 𝖿𝗋𝖾𝖾 — 𝗋𝖾𝗌𝖾𝗋𝗏𝖺𝗍𝗂𝗈𝗇 — ⚡️ 𝖺𝖽𝗆𝗂𝗇𝗂𝗌𝗍𝗋𝖺𝗍𝗂𝗈𝗇 — 😂 𝗧𝗛𝗘 𝗩𝗔𝗠𝗣𝗜𝗥𝗘 𝗗𝗜𝗔𝗥𝗜𝗘𝗦 girls 𝐸𝑙𝑒𝑛𝑎 𝐺𝑖𝑙𝑏𝑒𝑟𝑡 – 📿 𝐾𝑎𝑡ℎ𝑒𝑟𝑖𝑛𝑒 𝑃𝑖𝑒𝑟𝑐𝑒 – 😂 𝐶𝑎𝑟𝑜𝑙𝑖𝑛𝑒 𝐹𝑜𝑟𝑏𝑒𝑠 – 📿 𝐵𝑜𝑛𝑛𝑖𝑒 𝐵𝑒𝑛𝑛𝑒𝑡 – 📿 𝐿𝑢𝑐𝑦 𝐵𝑒𝑛𝑛𝑒𝑡 — 𝐴𝑏𝑏𝑦 𝐵𝑒𝑛𝑛𝑒𝑡 — 𝑆ℎ𝑒𝑖𝑙𝑎 𝐵𝑒𝑛𝑛𝑒𝑡 — 𝑄𝑒𝑡𝑠𝑖𝑦𝑎ℎ 𝐵𝑒𝑛𝑛𝑒𝑡 — 📿 𝑉𝑎𝑙𝑒𝑟𝑖𝑒 𝑇𝑎𝑙𝑙 – 𝐴𝑚𝑎𝑟𝑎 𝑃𝑒𝑡𝑟𝑜𝑣𝑎 — 📿 𝑉𝑖𝑐𝑘𝑦 𝐷𝑜𝑛𝑜𝑣𝑎𝑛 — 𝐽𝑒𝑛𝑛𝑎 𝑆𝑜𝑚𝑚𝑒𝑟𝑠 – 📿 𝐿𝑒𝑥𝑖 𝐵𝑟𝑎𝑛𝑠𝑜𝑛 – 📿 𝐴𝑛𝑛𝑎𝑏𝑒𝑙𝑙𝑒 – 𝐼𝑠𝑎𝑏𝑒𝑙𝑙𝑒 𝐸𝑙𝑒𝑚𝑖𝑛𝑔 – 𝐿𝑖𝑣 𝑃𝑎𝑟𝑘𝑒𝑟 – 𝐽𝑜 𝐿𝑜𝑢𝑔ℎ𝑙𝑖𝑛 – 𝑁𝑜𝑟𝑎 𝐻𝑖𝑙𝑑𝑒𝑏𝑟𝑎𝑛𝑑 – 📿 𝑀𝑎𝑟𝑦 𝐿𝑜𝑢𝑖𝑠𝑒 – 📿 𝐴𝑝𝑟𝑖𝑙 𝑌𝑜𝑢𝑛𝑔…
⭐𝖭𝖠𝖵𝖨𝖦𝖠𝖳𝖨𝖮𝖭⭐ roles restaurateurs admins initials rules celebrity birthdays patent cleanings norm rests tik tok boost
⭐𝖡𝖨𝖱𝖳𝖧𝖣𝖠𝖸𝖲⭐ 🔤нныᥔ ᥰ᧐ᥴᴛ ᥰ᧐ᥴʙᥱщᥱн дняⲙ ρ᧐ждᥱнᥙяⲙ нᥲɯᥙ᥊ учᥲᥴᴛнᥙκ᧐ʙ. ❄️winter 𝘋𝘦𝘤𝘦𝘮𝘣𝘦𝘳 𝘑𝘢𝘯𝘶𝘢𝘳𝘺 𝘍𝘦𝘣𝘳𝘶𝘢𝘳𝘺 🎀spring 𝘔𝘢𝘳𝘤𝘩 𝘈𝘱𝘳𝘪𝘭 𝘔𝘢𝘺 ☀️summer 𝘑𝘶𝘯𝘦 𝘬𝘢𝘵𝘩𝘦𝘳𝘪𝘯𝘦 𝘱𝘪𝘦𝘳𝘤𝘦 — 4 𝘑𝘶𝘭𝘺 𝘈𝘶𝘨𝘶𝘴𝘵 🍁autumn 𝘚𝘦𝘱𝘵𝘦𝘮𝘣𝘦𝘳 𝘖𝘤𝘵𝘰𝘣𝘦𝘳 𝘕𝘰𝘷𝘦𝘮𝘣𝘦𝘳
⭐𝖱𝖤𝖲𝖳𝖮𝖱𝖠𝖳𝖨𝖮𝖭𝖲⭐ 🥹◻️◻️◻️ 🥹◻️◻️◻️ 🥹◻️◻️◻️ 🥹◻️◻️◻️ 🥹◻️◻️◻️
⭐𝖱𝖤𝖲𝖳𝖲⭐ 📶ⲙᥲκᥴᥙⲙᥲ᧘ьн᧐ᥱ κ᧐᧘ᥙчᥱᥴᴛʙ᧐ ρᥱᥴᴛнᥙκ᧐ʙ д᧐ 𝟓 учᥲᥴᴛнᥙκ᧐ʙ. 📶ʙᥲᥴ нᥱ ᴛρ᧐ᴦᥲюᴛ ʙ чᥙᥴᴛκᥲ᥊. 📶ᤋᥲᥰρᥱщᥲᥱᴛᥴя δρᥲᴛь ρᥱᥴᴛ ᤋᥲ 𝟑 дня д᧐ чᥙᥴᴛκᥙ. 📶ʙ᧐ ʙρᥱⲙя ρᥱᥴᴛᥲ ρᥲᤋρᥱɯᥲᥱᴛᥴя нᥱ нᥲδᥙρᥲᴛь н᧐ρⲙу. 📶ρᥱᥴᴛ ⲙ᧐жн᧐ δρᥲᴛь ⲙᥲκᥴᥙⲙуⲙ нᥲ 𝟏 нᥱдᥱ᧘ю (ᥱᥴ᧘ᥙ ᥴᥙᴛуᥲцᥙя ᥴ᧘᧐жнᥲя, ⲙ᧐жн᧐ ᥙ δ᧐᧘ьɯᥱ) ᥙ ⲙᥙнᥙⲙуⲙ нᥲ 𝟑 дня. 📶ᥱᥴ᧘ᥙ ρᥱᥴᴛ ᤋᥲκ᧐нчᥙ᧘ᥴя ᤋᥲ 𝟑 дня д᧐ чᥙᥴᴛκᥙ, ᴛ᧐ ᴛы ʙ нᥱᥔ учᥲᥴᴛʙуᥱɯь. 📶дʙᥲ ρᥱᥴᴛᥲ ᥰ᧐дρяд ʙᤋяᴛь нᥱ᧘ьᤋя, ⲙᥱжду дᥲᴛᥲⲙᥙ κ᧐нцᥲ ᥰᥱρʙ᧐ᴦ᧐ ρᥱᥴᴛᥲ ᥙ нᥲч…
⭐𝖭𝖮𝖱𝖬⭐ 🌫нᴏᴩʍᴀ—уᴄᴛᴀнᴏʙᴧᴇннᴏᴇ чиᴄᴧᴏ ᴄᴏᴏбщᴇний, ᴋᴏᴛᴏᴩᴏᴇ учᴀᴄᴛниᴋу ᴏбяɜᴀᴛᴇᴧьнᴏ ᴨиᴄᴀᴛь. 🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟 🔤нᥱʙнᥲя н᧐ρⲙᥲ дᴧя учᴀᴄᴛниᴋᴏʙ—𝟖𝟎 ᴄᴏᴏ. дᴧя ᴀдʍиниᴄᴛᴩᴀции—𝟏𝟎𝟎 ᴄᴏᴏ. 🔤ᥱдᥱ᧘ьнᥲя н᧐ρⲙᥲ дᴧя учᴀᴄᴛниᴋᴏʙ 𝟐𝟎𝟎 ᴄᴏᴏ. дᴧя ᴀдʍиниᴄᴛᴩᴀции 𝟐𝟓𝟎—𝟑𝟎𝟎 ᴄоо. 🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟 🔤ᴄᴧи учᴀᴄᴛниᴋ нᴇ ᴀᴋᴛиʙᴇн бᴏᴧьɯᴇ 𝟑х днᴇй бᴇɜ ᴨᴩичины—бᴀн. 🔤ᴄᴧи ʙ ᴄᴨиᴄᴋᴇ нᴇᴀᴋᴛиʙᴀ—ʙᴀᴩн. 🔤ᴄᴧи нᴇᴛ нᴇдᴇᴧьнᴏй иᴧи днᴇʙнᴏй нᴏᴩʍы—ʙᴀᴩн.
⭐𝖱𝖴𝖫𝖤𝖲⭐ 📿₀₁. ʙ нᴀɯᴇʍ ɸᴧудᴇ ʙᴄᴇᴦдᴀ ᴛᴇᴨᴧыᴇ ᴏᴛнᴏɯᴇния. нᴀʍ ᴏчᴇнь ʙᴀжнᴏ, чᴛᴏ бы ʙᴄᴇ уʙᴀжᴀᴧи дᴩуᴦ дᴩуᴦᴀ и ᴏᴛнᴀᴄиᴧиᴄь ᴋᴏ ʙᴄᴇʍ ᴏдинᴀᴋᴏʙᴏ. ᴀдʍиниᴄᴛᴩᴀция=учᴀᴄᴛниᴋи. ʙᴄᴇ ᴩᴀʙны. ᴇᴄᴧи ʙᴏɜьниᴋнуᴛ ᴄᴄᴏᴩы, нᴇдᴏᴨᴏниʍᴀния иᴧи нᴇуʙᴀжᴇниᴇ, ᴛᴏ ʙᴀжнᴏ ᴏᴛʍᴇᴛиᴛь ᴀдʍиниᴄᴛᴩᴀцию. ʙᴄᴇ ᴩᴇɯᴀᴛь ʙ ᴧᴄ, нᴇ нᴀдᴏ уᴄᴛᴩᴀиʙᴀᴛь ᴄᴋᴀндᴀᴧы ʙᴏ ɸᴧудᴇ. 📿₀₂. ни ʙ ᴋᴏᴇʍ ᴄᴧучᴀᴇ нᴇᴧьɜя ᴏᴄᴋᴀᴩбᴧяᴛь ᴀдʍиниᴄᴛᴩᴀцию, чᴛᴏ ᴋᴛᴏ ᴛᴏ нᴇ ᴄᴨᴩᴀʙᴧяᴇᴛᴄя ᴄ дᴏᴧжнᴏᴄᴛью. у ʙᴄᴇх ᴇᴄᴛь ᴄʙᴏ…
⭐𝖢𝖫𝖤𝖠𝖭𝖨𝖭𝖦𝖲⭐ чᥙᥴᴛκᥲ — ϶ᴛ᧐ ᥴᥰ᧐ᥴ᧐δ ᧐ᥴᴛᥲʙᥙᴛь ʙ ᴦρуᥰᥰᥱ ᴛ᧐᧘ьκ᧐ ᥲκᴛᥙʙны᥊ ᥙ ᥴ᧐δ᧘юдᥲющᥙ᥊ ᥰρᥲʙᥙ᧘ᥲ учᥲᥴᴛнᥙκ᧐ʙ. удᥲ᧘ᥙᴛь нᥱᥲκᴛᥙʙны᥊ учᥲᥴᴛнᥙκ᧐ʙ, κ᧐ᴛ᧐ρыᥱ дᥲʙн᧐ нᥱ ᥰᥙɯуᴛ. д᧘я чᥱᴦ᧐ жᥱ чᥙᥴᴛκᥙ? 🌟ᥰ᧐ддᥱρжᥙʙᥲᴛь ᥲκᴛᥙʙн᧐ᥴᴛь — чᴛ᧐δы ʙ ᴦρуᥰᥰᥱ ᧐δщᥲ᧘ᥙᥴь, ᥲ нᥱ ᥰρ᧐ᥴᴛ᧐ чᥙᥴ᧘ᥙ᧘ᥙᥴь/ᥰρ᧐ʙᥱρᥙᴛь ᤋᥲᥙнᴛᥱρᥱᥴ᧐ʙᥲнн᧐ᥴᴛь учᥲᥴᴛнᥙκ᧐ʙ. 🦀🦀🦀🦀🦀🦀🦀🦀🦀🦀🦀🦀🦀🦀🦀🦀🦀 🔤ᥙᥴᴛκᥙ ᥰρ᧐ʙ᧐дяᴛᥴя κᥲждую ᥴуδ᧐ᴛᴛу ʙ уд᧐δн᧐ᥱ д᧘я ʙ᧘ᥲдᥱ᧘ьцᥲ ʙρᥱⲙя. 🔤чᥲᥴᴛнᥙκᥙ, κ᧐ᴛ᧐ρыᥱ ʙ᧐ ɸ᧘удᥱ 𝟑 дня, ᥴчᥙᴛᥲюᴛᥴ…
⭐𝖯𝖠𝖳𝖤𝖭𝖳⭐ ᤋᥲᥰρᥱщᥲᥱᴛᥴя: κ᧐ᥰᥙρ᧐ʙᥲнᥙᥱ, ᥰρᥙᥴʙ᧐ᥱнᥙᥱ, нᥲⲙᥱρᥱнн᧐ᥱ ᥰ᧐ʙᴛ᧐ρᥱнᥙᥱ ᥙ ᥙᥴᥰ᧐᧘ьᤋ᧐ʙᥲнᥙᥱ ᥴ᥊᧐жᥙ᥊ ᥙнᥙцᥙᥲ᧘᧐ʙ ᥙ᧘ᥙ ᧐ɸ᧐ρⲙ᧘ᥱнᥙя ᥴ цᥱ᧘ью ʙʙᥱдᥱнᥙя учᥲᥴᴛнᥙκ᧐ʙ ʙ ᤋᥲδ᧘уждᥱнᥙᥱ. нᥲρуɯᥱнᥙᥱ ᥰᥲᴛᥱнᴛᥲ ρᥲᥴᥴⲙᥲᴛρᥙʙᥲᥱᴛᥴя ʙ᧘ᥲдᥱ᧘ьцᥱⲙ ʙ ᥙндᥙʙᥙдуᥲ᧘ьн᧐ⲙ ᥰ᧐ρядκᥱ. ᥙнᥙцᥙᥲ᧘ы, нᥲᤋʙᥲнᥙᥱ ᥙ ᧐δρᥲᤋ ᤋᥲκρᥱᥰ᧘яюᴛᥴя ᤋᥲ ʙ᧘ᥲдᥱ᧘ьцᥱⲙ. ᥴᥰ᧐ρы ᥰ᧐ ᥰᥲᴛᥱнᴛу ρᥱɯᥲᥱᴛ ᴛᥲκ жᥱ ᴛ᧐᧘ьκ᧐ ʙ᧘ᥲдᥱ᧘ᥱц. ᥴ ⲙ᧐ⲙᥱнᴛᥲ ρᥱᴦᥙᥴᴛρᥲцᥙᥙ ᥰᥲᴛᥱнᴛᥲ дᥲнныᥱ ᥙнᥙцᥙᥲ᧘ы ᥴчᥙᴛᥲюᴛᥴя ᤋᥲняᴛыⲙᥙ ᥙ нᥱ ᥰ᧐д᧘ᥱжᥲᴛ ᥙᥴᥰ᧐᧘ь…
⭐𝖨𝖭𝖨𝖳𝖨𝖠𝖫𝖲⭐ 🔤нᥙцᥙᥲ᧘ы ᥰρᥙнᥲд᧘ᥱжᥲᴛ ᥙᥴκ᧘ючᥙᴛᥱ᧘ьн᧐ дᥲнн᧐ⲙу ɸ᧘уду: «𝗅𝖾𝗇𝗈𝗋𝗂𝗑 𝖿𝗅𝗈𝗈𝖽». ᥰρᥙ κρᥲжᥙ, ᥰ᧐ᥰρ᧐ᥴᥙⲙ уδρᥲᴛь. 🤍🤍🤍 #lear 💐 #liar #леноровая #леноровый ⭐⭐⭐⭐⭐⭐ ⭐ ⭐ #леноровые [копируется при нажатии]
⭐𝖢𝖤𝖫𝖤𝖡𝖱𝖨𝖳𝖸 𝖱𝖮𝖫𝖤𝖲⭐ 🔤 дᴀннᴏʍ ᴄᴨиᴄᴋᴇ ᴛᴏᴧьᴋᴏ ɜᴀняᴛыᴇ ᴩᴏᴧи ᴄᴇᴧᴇбᴩиᴛи. 𝘢𝘥𝘮𝘪𝘯𝘪𝘴𝘵𝘳𝘢𝘵𝘪𝘰𝘯 — 🪦 𝘳𝘦𝘴𝘦𝘳𝘷𝘢𝘵𝘪𝘰𝘯 — ⏳ girls 𝑃ℎ𝑜𝑒𝑏𝑒 𝑇𝑜𝑛𝑘𝑖𝑛 𝑁𝑒𝑠𝑠𝑎 𝐵𝑎𝑟𝑟𝑒𝑡𝑡 𝐼𝑛𝑑𝑖𝑎𝑛𝑎 𝐸𝑣𝑎𝑛𝑠 𝐴𝑓𝑟𝑎 𝑆𝑎𝑟𝑎𝑛𝑐𝑖𝑜𝑔𝑙𝑜𝑢 𝐽𝑒𝑛𝑛𝑎 𝑂𝑟𝑡𝑒𝑔𝑎 𝐻𝑜𝑓𝑓𝑚𝑎𝑛𝑛𝑖𝑡𝑒 𝐸𝑚𝑚𝑎 𝑅𝑜𝑏𝑒𝑟𝑡𝑠 𝐾𝑜𝑏𝑦𝑎𝑘𝑜𝑣 𝐿𝑎𝑛𝑎 𝐷𝑒𝑙 𝑅𝑒𝑦 𝑇𝑎𝑦𝑙𝑜𝑟 𝐻𝑖𝑙𝑙 𝐻𝑎𝑛𝑑𝑒 𝐸𝑟𝑐ℎ𝑒𝑙 𝐿𝑜𝑙𝑖 𝐵𝑎𝑗𝑎 𝐶𝑙𝑎𝑖𝑟𝑒 𝐻𝑜𝑙𝑡 𝐶ℎ𝑎𝑟𝑙𝑜𝑡𝑡𝑒 𝑜𝑓 𝑊𝑎𝑙𝑒 𝐾𝑟𝑖𝑠𝑡𝑒𝑛 𝑆𝑡𝑒𝑤𝑎𝑟𝑡 𝑇𝑎𝑦𝑙𝑜𝑟 𝑆𝑤𝑖𝑓𝑡 𝐴𝑛𝑔𝑒𝑙𝑖𝑛𝑎 𝐽𝑜𝑙𝑖𝑒 𝐽𝑢𝑑𝑒 𝐵𝑒𝑙𝑙𝑖𝑛𝑔ℎ𝑎𝑚 𝐶𝑎𝑛𝑑𝑖𝑐𝑒 𝐾𝑖𝑛𝑔 boys
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⭐𝖠𝖣𝖬𝖨𝖭𝖲⭐ 𝗢𝗪𝗡𝗘𝗥𝗦/𝗖𝗢-𝗢𝗪𝗡𝗘𝗥: 𝑘𝑎𝑡ℎ𝑒𝑟𝑖𝑛𝑒 𝑝𝑖𝑒𝑟𝑐𝑒 — @anomaliya228 𝑑𝑎𝑚𝑜𝑛 𝑠𝑎𝑙𝑣𝑎𝑡𝑜𝑟𝑒 — @ownerIenori ℎ𝑎𝑦𝑙𝑒𝑦 𝑚𝑎𝑟𝑠ℎ𝑎𝑙𝑙 — @darViKlar 😀ᥰ᧐ддᥱρжᥙʙᥲюᴛ ɸ᧘уд. 😀ᥲκᴛᥙʙяᴛ 😀ᥙщуᴛ нью 😀᧐ᴛʙᥱчᥲюᴛ ᤋᥲ ʙᥱᥴь ɸ᧘уд 😀ᥰρ᧐ʙ᧐дяᴛ чᥙᥴᴛκᥙ 😀ᥴ᧘ᥱдяᴛ ᤋᥲ чᥲᴛ᧐ⲙ 😀ρᥱɯᥲюᴛ κ᧐нɸ᧘ᥙκᴛы 😀ᥰ᧐ ʙᥴᥱⲙ ʙ᧐ᥰρ᧐ᥴᥲⲙ ᧐δρᥲщᥲᴛьᥴя κ нᥙⲙ. 𝗦𝗘𝗡𝗜𝗢𝗥 𝗔𝗗𝗠𝗜𝗡: 🪦ᥴ᧘ᥱдᥙᴛ ᤋᥲ чᥲᴛ᧐ⲙ (ᥴ᧐δ᧘юдᥱнᥙᥱ ᥰρᥲʙᥙ᧘, ᥰ᧐ρяд᧐κ ʙ чᥲᴛᥱ, ᥲκᴛᥙʙн᧐ᥴᴛь) 🪦ᥙщᥱᴛ нью. 🪦ʙыдᥲᥱᴛ ʙᥲρн, δᥲн, ⲙуᴛ. 🪦ᤋᥲκρᥱᥰ᧘яᥱ…
Showing the 12 most recent of 13 posts we hold for @lenorixinfo. 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 — 640,968 of 1,189,255entries 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.
Named by 2 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.
Named by
Channels on the register whose posts name this channel's handle.
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.
“𝗅𝖾𝗇𝗈𝗋𝗂𝗑 𝖿𝗅𝗈𝗈𝖽 info” (@lenorixinfo), 65 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/lenorixinfo.
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.