Channel
@QUEEN_FED_V2
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
7subscribers
+0 since we began measuring on 10 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001553461479 |
|---|---|
| Type | Channel |
| Username | @QUEEN_FED_V2 |
| Created | Between 1 August 2021 and 26 August 2022— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 12 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/QUEEN_FED_V2 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 19:31 | 7 | no change |
| 10 Aug 2026, 08:02 | 7 | first reading |
20 posts held, back to 26 August 2022 — 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 30 January 2025. An engagement rate over an empty window would be a number about nothing.
Lifetime counters from Telegram’s own channel header, read 12 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
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 2 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 1reactions 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 26 August 2022 to 30 January 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
New FedBan Fed: ♕︎𝗤𝙐𝙀𝙀𝙉𓅓𝙁𝙀𝘿♕︎ V͢2͢ @QUEEN_FED @QUEEN_NETWORK FedAdmin: ✺⃟⍣⃟⎯⎯⃝👅🇶𝐮𝐞𝐞𝐧_🇳𝐞𝐭𝐰𝐨𝐫𝐤𓂻🇲 𝐮𝐬𝐢𝐜🔥༎ User: 『𝐃𝚵𝐒𝐓𝐑𝐎𝐘𝚵𝐑』 User ID: 7159158466 Reason: Reason: 🔆𝗕𝗔𝗡 𝗖𝗢𝗗𝗘𝗦🔆 🔱𝐕𝐀𝐌𝐏𝐈𝐑𝐄 𝐅𝐄𝐃𝐄𝐑𝐀𝐓𝐈𝐎𝐍 🔱 #BLACKLISTED_USER ✓✓ ᴛᴀᴘ ᴏɴ ʙᴀɴ ᴄᴏᴅᴇs ᴛᴏ ᴄᴏᴘʏ ✓✓ {VF×000} - TOXIC {VF×001} - SCAMMER #BLACKLISTED_USER {VF×002} - POLICY VIOLATION {VF×003} - FRAUD/BTC SCAM. {VF×004} - ABUSED MEMBER OF COUNCIL {VF×005} - ABUSED COU…
👍1
New FedBan Fed: ♕︎𝗤𝙐𝙀𝙀𝙉𓅓𝙁𝙀𝘿♕︎ V͢2͢ @QUEEN_FED @QUEEN_NETWORK FedAdmin: ✺⃟⍣⃟⎯⎯⃝👅🇶𝐮𝐞𝐞𝐧_🇳𝐞𝐭𝐰𝐨𝐫𝐤𓂻🇲 𝐮𝐬𝐢𝐜🔥༎ User: ᯓ ̽𝐅꯭4𝐄꯭🥀𝐏꯭𝐑𝐈꯭𝐍꯭𝐂꯭𝐄꯭🥀 User ID: 6430077205 Reason: Reason: 🔆𝗕𝗔𝗡 𝗖𝗢𝗗𝗘𝗦🔆 🔱𝐕𝐀𝐌𝐏𝐈𝐑𝐄 𝐅𝐄𝐃𝐄𝐑𝐀𝐓𝐈𝐎𝐍 🔱 #BLACKLISTED_USER ✓✓ ᴛᴀᴘ ᴏɴ ʙᴀɴ ᴄᴏᴅᴇs ᴛᴏ ᴄᴏᴘʏ ✓✓ {VF×000} - TOXIC {VF×001} - SCAMMER #BLACKLISTED_USER {VF×002} - POLICY VIOLATION {VF×003} - FRAUD/BTC SCAM. {VF×004} - ABUSED MEMBER OF COUNCIL {VF×005} - …
New FedBan Fed: ♕︎𝗤𝙐𝙀𝙀𝙉𓅓𝙁𝙀𝘿♕︎ V͢2͢ @QUEEN_FED @QUEEN_NETWORK FedAdmin: ✺⃟⍣⃟⎯⎯⃝👅🇶𝐮𝐞𝐞𝐧_🇳𝐞𝐭𝐰𝐨𝐫𝐤𓂻🇲 𝐮𝐬𝐢𝐜🔥༎ User: 💔༆ 丂ᴀɴ丂ᴋᴀʀɪ𓆩🐅⃝🔥𓆪🦇⃝🕊️Bᴀʟᴀᴋ ༄🇮🇳【Usᴇʀ_ᴅɪᴇᴅ】【🔥𝗪𝗔𝗥𝗥𝗜𝗢𝗥🔥】 User ID: 5766286917 Reason: Reason: ABUSE ON VC PUBLIC CHAT #BLACKLISTED_USER 🔰 BANCODES 🔰 [RFx14] - CRIMES AGAINST GIRLS BLACKMAIL SEXUAL ABUSE {TGN×07} - MISUSING FED POWER/ADMINSHIP {SRx20} - CREATING FAKE FED AND GIVING FAKE FED BANS.. NIGGA {T…
New FedBan Fed: ♕︎𝗤𝙐𝙀𝙀𝙉𓅓𝙁𝙀𝘿♕︎ V͢2͢ @QUEEN_FED @QUEEN_NETWORK FedAdmin: ✺⃟⍣⃟⎯⎯⃝👅🇶𝐮𝐞𝐞𝐧_🇳𝐞𝐭𝐰𝐨𝐫𝐤𓂻🇲 𝐮𝐬𝐢𝐜🔥༎ User: 『𝗧𝗥𝗡』 × Aᴅɪ...⚡️📿 ࿐ User ID: 6187838819 Reason: Reason: ABUSE ON VC PUBLIC CHAT #BLACKLISTED_USER 🔰 BANCODES 🔰 [RFx14] - CRIMES AGAINST GIRLS BLACKMAIL SEXUAL ABUSE {TGN×07} - MISUSING FED POWER/ADMINSHIP {SRx20} - CREATING FAKE FED AND GIVING FAKE FED BANS.. NIGGA {TFN×017} ABUSING FAMILY/ABUSER…
New FedBan Fed: ♕︎𝗤𝙐𝙀𝙀𝙉𓅓𝙁𝙀𝘿♕︎ V͢2͢ @QUEEN_FED @QUEEN_NETWORK FedAdmin: ✺⃟⍣⃟⎯⎯⃝👅🇶𝐮𝐞𝐞𝐧_🇳𝐞𝐭𝐰𝐨𝐫𝐤𓂻🇲 𝐮𝐬𝐢𝐜🔥༎ User: ㅤ𓂃-❛ 𝐒𝐇𝚫𝐃𝐎𝐖 </𝟑 User ID: 7162699147 Reason: Reason: ABUSE ON VC PUBLIC CHAT #BLACKLISTED_USER 🔰 BANCODES 🔰 [RFx14] - CRIMES AGAINST GIRLS BLACKMAIL SEXUAL ABUSE {TGN×07} - MISUSING FED POWER/ADMINSHIP {SRx20} - CREATING FAKE FED AND GIVING FAKE FED BANS.. NIGGA {TFN×017} ABUSING FAMILY/ABUSER {QN×1…
New FedBan Fed: ♕︎𝗤𝙐𝙀𝙀𝙉𓅓𝙁𝙀𝘿♕︎ V͢2͢ @QUEEN_FED @QUEEN_NETWORK FedAdmin: ✺⃟⍣⃟⎯⎯⃝👅🇶𝐮𝐞𝐞𝐧_🇳𝐞𝐭𝐰𝐨𝐫𝐤𓂻🇲 𝐮𝐬𝐢𝐜🔥༎ User: DEAD USER User ID: 6155367775 Reason: Reason: ABUSE ON VC PUBLIC CHAT #BLACKLISTED_USER 🔰 BANCODES 🔰 [RFx14] - CRIMES AGAINST GIRLS BLACKMAIL SEXUAL ABUSE {TGN×07} - MISUSING FED POWER/ADMINSHIP {SRx20} - CREATING FAKE FED AND GIVING FAKE FED BANS.. NIGGA {TFN×017} ABUSING FAMILY/ABUSER {QN×16} - M…
New FedBan Fed: ♕︎𝗤𝙐𝙀𝙀𝙉𓅓𝙁𝙀𝘿♕︎ V͢2͢ @QUEEN_FED @QUEEN_NETWORK FedAdmin: ✺⃟⍣⃟⎯⎯⃝👅🇶𝐮𝐞𝐞𝐧_🇳𝐞𝐭𝐰𝐨𝐫𝐤𓂻🇲 𝐮𝐬𝐢𝐜🔥༎ User: ꧁≛𝐌𝐑🥀🥵संस्कारी🥀🔥𝐀𝐑𝐏𝐈𝐓≛⃝🅾🅿 𒐫𒐫𒐫🥀🌹🌱🌷🌱🌿🍀🌲🌲𒐫𒐫𒐫𒐫𒐫𒐫𒐫🥀🌹꧁≛𝐌𝐑🥀🥵𒐫𒐫𒐫𒐫𒐫𒐫𒐫𒐫𒐫𒐫𒐫 ꧁≛𒐫𒐫𒐫𒐫𒐫𒐫𒐫𒐫𒐫𒐫𒐫𒐫𒐫𒐫𒐫𒐫𒐫𒐫𒐫𒐫𒐫𒐫𒐫𒐫𒐫𒐫𒐫𒐫𒐫𒐫𒐫𒐫𒐫𒐫𒐫𒐫𒐫𒐫𒐫𒐫𒐫𒐫𒐫𒐫𒐫𒐫𒐫𒐫𒐫𒐫𒐫𒐫𒐫𒐫𒐫𒐫𒐫𒐫𒐫𒐫𒐫𒐫 User ID: 5324558328 Reason: Reason: ABUSE ON VC PUBLIC CHAT #BLACKLISTED_USER 🔰 BANCODES 🔰 [RFx14] - CRIMES AGAINST GIRLS BLACKMAIL SEXUAL ABUSE {TGN×07} - MISUSING FED POWER…
New FedBan Fed: ♕︎𝗤𝙐𝙀𝙀𝙉𓅓𝙁𝙀𝘿♕︎ V͢2͢ @QUEEN_FED @QUEEN_NETWORK FedAdmin: ✺⃟⍣⃟⎯⎯⃝👅🇶𝐮𝐞𝐞𝐧_🇳𝐞𝐭𝐰𝐨𝐫𝐤𓂻🇲 𝐮𝐬𝐢𝐜🔥༎ User: 𝐏𝐑𝐊✨🍁🇩ᴏᴍɪɴᴀᴛᴏʀѕآآ⧉⃞👿 User ID: 5869690010 Reason: [TTC×07] - MISUSING FED POWER/ADMINSHIP [TTC×08] - SPREADING/SUPPORTING VIOLENCE [TTC×14] - ABUSING [TTC×23] - CREATING FAKE FED AND GIVING FAKE BANS Go and chack PROOF :- https://t.me/+SJKKY3dkwHI1YzEx https://t.me/+SJKKY3dkwHI1YzEx https://t.me/+SJKKY…
New FedBan Fed: ♕︎𝗤𝙐𝙀𝙀𝙉𓅓𝙁𝙀𝘿♕︎ V͢2͢ @QUEEN_FED @QUEEN_NETWORK FedAdmin: ✺⃟⍣⃟⎯⎯⃝👅🇶𝐮𝐞𝐞𝐧_🇳𝐞𝐭𝐰𝐨𝐫𝐤𓂻🇲 𝐮𝐬𝐢𝐜🔥༎ User: -●⏤𓆩♡𝖗𝖎𝖙𝖚❤️࿐ User ID: 5385514959 Reason: Reason: ABUSE ON VC PUBLIC CHAT #BLACKLISTED_USER 🔰 BANCODES 🔰 [RFx14] - CRIMES AGAINST GIRLS BLACKMAIL SEXUAL ABUSE {TGN×07} - MISUSING FED POWER/ADMINSHIP {SRx20} - CREATING FAKE FED AND GIVING FAKE FED BANS.. NIGGA {TFN×017} ABUSING FAMILY/ABUSER {QN×16} …
New FedBan Fed: ♕︎𝗤𝙐𝙀𝙀𝙉𓅓𝙁𝙀𝘿♕︎ V͢2͢ @QUEEN_FED @QUEEN_NETWORK FedAdmin: ᴵ ᴬᴹ᭄🦋⃟🜲|𓆩𝙀𝘽𝘿 𝙈𝙊𝘿𓆪|🔥༒✿࿐ User: ╰⊱♥⊱╮ღ꧁Attitude queen꧂ღ╭⊱♥ 🌈🌈🌈🌈🌈🌈 User ID: 5030287960 Reason: KIDS GET GUSSA FROM FBAN ENJOY KID
New FedBan Fed: ♕︎𝗤𝙐𝙀𝙀𝙉𓅓𝙁𝙀𝘿♕︎ V͢2͢ @QUEEN_FED @QUEEN_NETWORK FedAdmin: ✺⃟⍣⃟⎯⎯⃝👅🇶𝐮𝐞𝐞𝐧_🇳𝐞𝐭𝐰𝐨𝐫𝐤𓂻🇲 𝐮𝐬𝐢𝐜🔥༎ User: Ads exchange User ID: 5338344639 Reason: Reason: ABUSE ON VC PUBLIC CHAT #BLACKLISTED_USER 🔰 BANCODES 🔰 [RFx14] - CRIMES AGAINST GIRLS BLACKMAIL SEXUAL ABUSE {TGN×07} - MISUSING FED POWER/ADMINSHIP {SRx20} - CREATING FAKE FED AND GIVING FAKE FED BANS.. NIGGA {TFN×017} ABUSING FAMILY/ABUSER {QN×16}
New un-FedBan Fed: ♕︎𝗤𝙐𝙀𝙀𝙉𓅓𝙁𝙀𝘿♕︎ V͢2͢ @QUEEN_FED @QUEEN_NETWORK FedAdmin: ᴵ ᴬᴹ᭄🦋⃟🜲|𓆩𝙀𝘽𝘿 𝙈𝙊𝘿𓆪|🔥༒✿࿐ User: ᶦ ͢ᵃᵐ 𝐃𝐚𝐧𝐠𝐞𝐫 𝘅𝗗╚»⃝ 🇨𝐡ø𝐮𝐝𝐡𝐚𝐫𝐲 User ID: 1624072266
Showing the 12 most recent of 20 posts we hold for @QUEEN_FED_V2. 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 — 1,039,812 of 1,480,975entries 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 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.
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.
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“QUEEN_FED V͢2͢” (@QUEEN_FED_V2), 7 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/QUEEN_FED_V2.
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.