Você procurou… e já encontrou. ✔️ Todos os episódios estão aqui ✔️ Sem precisar sair ou procurar ✔️ Acesso direto agora ▶️ ASSISTIR AGORA ▶️ ASSISTIR AGORA ⚠️ Conteúdo disponível neste canal 📺 Comece agora sem perder tempo
❤6😡3👍1

Channel
@NovosDramas
On this record: Previous handles · Observations · Also posting the same content · Growth · Engagement · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
7,374subscribers
-952 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001290199761 |
|---|---|
| Type | Channel |
| Username | @NovosDramas |
| Created | Between 1 April 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 5 September 2026 |
| Measurements held | 12 |
| Confirmed unchanged | 1 time, most recently 5 September 2026 |
| On Telegram | t.me/NovosDramas |
@NovosDramas was previously reachable at this handle, before switching to its current one. This says nothing about who or what answers at the old handle today — only that this channel no longer does.
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Posts published here appear word for word on 2 other registered channels. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
| Posted first | Then | Overlap | Gap |
|---|---|---|---|
| @DatosCuriososNew/81761 Aug 2026, 19:17 UTC | @mundode_losmemes/261201 Aug 2026, 19:17 UTC | 1.00 | under a minute |
| @mundode_losmemes/261574 Aug 2026, 19:10 UTC | @DatosCuriososNew/82334 Aug 2026, 19:10 UTC | 1.00 | under a minute |
| @DatosCuriososNew/82495 Aug 2026, 04:03 UTC | @mundode_losmemes/262037 Aug 2026, 17:01 UTC | 1.00 | 3 days |
| @DatosCuriososNew/82606 Aug 2026, 01:03 UTC | @mundode_losmemes/261736 Aug 2026, 01:03 UTC | 1.00 | under a minute |
| @juegosmentales/198504 Aug 2026, 19:10 UTC | @DatosCuriososNew/82334 Aug 2026, 19:10 UTC | 1.00 | under a minute |
| @DatosCuriososNew/82606 Aug 2026, 01:03 UTC | @juegosmentales/198686 Aug 2026, 01:03 UTC | 1.00 | under a minute |
| Channel | Matching posts | Text overlap | Typical gap | Published first |
|---|---|---|---|---|
| @mundode_losmemes | 7 (7/7 hand-verifiable sample passed) | 1.00 | under a minute | @mundode_losmemes (4–3) |
| @juegosmentales | 6 (6/6 hand-verifiable sample passed) | 1.00 | under a minute | @juegosmentales (4–2) |
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 2 of the 5 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.
“Published first” means first in this corpus. We hold 27 comparable posts for this entry, running 30 July 2026 to 6 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Across the whole group of 3, the earliest publisher we hold is @juegosmentales. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_mutual, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
This channel’s posts match, word for word or near enough, posts on 2 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 5 Sept 2026, 06:22 | 7,374 | -84 |
| 1 Sept 2026, 05:48 | 7,458 | -78 |
| 29 Aug 2026, 00:53 | 7,536 | -61 |
| 26 Aug 2026, 07:19 | 7,597 | -80 |
| 25 Aug 2026, 22:32 | 7,677 | no change |
| 22 Aug 2026, 21:56 | 7,677 | -110 |
| 19 Aug 2026, 10:36 | 7,787 | -95 |
| 16 Aug 2026, 08:08 | 7,882 | -319 |
| 12 Aug 2026, 12:15 | 8,201 | -11 |
| 12 Aug 2026, 04:02 | 8,212 | -106 |
| 7 Aug 2026, 06:46 | 8,318 | -8 |
| 6 Aug 2026, 09:32 | 8,326 | first reading |
28 posts held, back to 30 July 2026 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 9 pages of 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.
| Window | Rolling 30 days · latest post in window 14 August 2026 |
|---|---|
| Posts held | 28 (30 July 2026 – 14 August 2026) |
| Views total | 1,980 |
| Reactions total | 10 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 28 Aug 2026, 21:46 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.
188 reactions across 19 posts, in 16 distinct kinds. The most used accounts for 29.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 55 | 29.3% | |
| 😁 | 38 | 20.2% | |
| 😱 | 29 | 15.4% | |
| 👏 | 14 | 7.45% | |
| 🤯 | 10 | 5.32% | |
| 👌 | 9 | 4.79% | |
| 👍 | 8 | 4.26% | |
| ✍ | 4 | 2.13% | |
| 🤩 | 4 | 2.13% | |
| 🔥 | 3 | 1.60% | |
| 😎 | 3 | 1.60% | |
| 😡 | 3 | 1.60% | |
| 🥰 | 3 | 1.60% | |
| 🎉 | 2 | 1.06% | |
| 👀 | 2 | 1.06% | |
| ⚡ | 1 | 0.532% |
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 20 of the 28 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 188 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 28 most recent posts we hold, published 30 July 2026 to 14 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.
Você procurou… e já encontrou. ✔️ Todos os episódios estão aqui ✔️ Sem precisar sair ou procurar ✔️ Acesso direto agora ▶️ ASSISTIR AGORA ▶️ ASSISTIR AGORA ⚠️ Conteúdo disponível neste canal 📺 Comece agora sem perder tempo
❤6😡3👍1
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⛓⛓BOTONERA KATENA⛓⛓ 🌞DIURNA🌞 ¡¡ Nunca había sido tan fácil agregar tu canal a la botonera 😱!! 🚨Que esperas para unirte ya a los mejores Canales de Telegram !! 👤 Categoría: 5K ➧ 10K 🔞 📤 Publicación: {SEND_DATE} 🚫 Eliminación: {DELETE_DATE} ⏰ Duración de la botonera: {DURATION} ⏳ Tiempo restante: {TIMER}
💎𝐂𝐀𝐓𝐄𝐆𝐎𝐑Í𝐀 ➕️1️⃣K💎 🔒𝔻𝔼𝕊𝔹𝕃𝕆ℚ𝕌𝔼𝔸 ℂ𝕆ℕ𝕋𝔼ℕ𝕀𝔻𝕆 𝕍𝕀ℙ🔒 👍 𝐒𝐢 𝐭𝐞 𝐮𝐧𝐞𝐬 𝐀𝐇𝐎𝐑𝐀 𝐚𝐪𝐮𝐢: ʜᴛᴛᴘꜱ://ᴛ.ᴍᴇ/+yuᴘ3ᴏᴅhdkɴᴀ03ᴢᴅʙʜ 🔞 𝐒𝐞𝐫𝐚𝐬 𝐦𝐢𝐞𝐦𝐛𝐫𝐨 𝐕𝐈𝐏 𝐝𝐞 𝐚𝐪𝐮𝐢: ʜᴛᴛᴘꜱ://ᴛ.ᴍᴇ/+ɢᴘ3ᴏᴅᴄɪ5ɴᴀ03ᴢᴅʙʜ 𒆜𒁂 𒆜 𒁂 𒆜 𒁂 𒆜 𒁂𒆜 𒁂𒆜 ‼️ᴏʙᴛÉɴ ʜᴀꜱᴛᴀ ᴜɴ 70% ᴅᴇ ʀᴇʙᴀᴊᴀ ᴇɴ ɴᴜᴇꜱᴛʀᴏꜱ ᴘʀᴏᴅᴜᴄᴛᴏꜱ ᴄᴏɴ ᴅᴇꜱᴄᴜᴇɴᴛᴏꜱ ᴇxᴄʟᴜꜱɪᴠᴏꜱ EN ESPAÑA 🇪🇸🆕
Botonera El Futuro❤️ ⚠️Mejores videos cas3ros XXX de la semana⚠️ Entre aqui👇 🔗https://t.me/+bBg-g86B0YhhNTc0 Y podrás verlos aqui👇 🔗https://1024terabox.com/s/1dmBxX249TUChjTGGgvO14w 🍑 𝗙𝗜𝗟𝗧𝗥𝗢𝗦 𝗣𝗔𝗖𝗞 𝗧𝗜𝗞𝗧𝗢𝗞𝗘𝗥𝗦 | 𝗖𝗔𝗦𝗧𝗜𝗡𝗚 𝗨𝗡𝗜𝗩𝗘𝗥𝗦𝗜𝗧𝗔𝗥𝗜𝗔𝗦 & 𝗖𝗢𝗟𝗘𝗚𝗜𝗔𝗟𝗔𝗦 🔥🥵💦 📎https://t.me/+VemBQrGhikdhNTI9 🔞BEST XXX❤️ 🔗https://t.me/addlist/pdyEMed9AYkwNzJh ‼️‼️‼️Comprar Publicidad ‼️‼️‼️ 👉@Zoon_xZ👈
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⛓⛓BOTONERA KATENA⛓⛓ 🌚 NOCTURNA 🌚 ¡¡ Nunca había sido tan fácil agregar tu canal a la botonera 😱!! 🚨Que esperas para unirte ya a los mejores Canales de Telegram !! 👤 Categoría: 5K ➧ 10K 🔞 📤 Publicación: {SEND_DATE} 🚫 Eliminación: {DELETE_DATE} ⏰ Duración de la botonera: {DURATION} ⏳ Tiempo restante: {TIMER} ⭐️ https://t.me/rincon_secreto ⭐️
❌🄵É🄽🄸🅇 | 🄱🅄🅃🅃🄾🄽🅂❌ 𝐂𝐀𝐓𝐄𝐆𝐎𝐑Í𝐀 🌚𝐍𝐎𝐂𝐇𝐄➕️5️⃣K 🧨 ¡𝐀𝐓𝐄𝐍𝐂𝐈𝐎𝐍! 𝐒𝐎𝐋𝐎 𝐏𝐀𝐑𝐀 𝐋𝐎𝐒 100 𝐌𝐀𝐒 𝐑𝐀𝐏𝐈𝐃𝐎𝐒 🧨 𝐀𝐜𝐜𝐞𝐬𝐨 𝐕𝐈𝐏 𝐀 𝐂𝐎𝐍𝐓𝐄𝐍𝐈𝐃𝐎 𝐄𝐗𝐂𝐋𝐔𝐒𝐈𝐕𝐎 𝐐𝐔𝐄 𝐍𝐎 𝐕𝐄𝐑𝐀𝐒 𝐄𝐍 𝐍𝐈𝐍𝐆𝐔𝐍 𝐎𝐓𝐑𝐎 𝐋𝐔𝐆𝐀𝐑💥 🔗 𝐇𝐚𝐳 𝐜𝐥𝐢𝐜 𝐚𝐪𝐮𝐢 𝐩𝐚𝐫𝐚 𝐞𝐧𝐭𝐫𝐚𝐫 🔞 𝐔𝐧𝐚 𝐯𝐞𝐳 𝐝𝐞𝐧𝐭𝐫𝐨, 𝐬𝐞𝐫𝐚𝐬 𝐩𝐚𝐫𝐭𝐞 𝐝𝐞𝐥 𝐠𝐫𝐮𝐩𝐨 𝐕𝐈𝐏: 👉 𝐀𝐜𝐜𝐞𝐝𝐞 𝐜𝐨𝐦𝐨 𝐦𝐢𝐞𝐦𝐛𝐫𝐨 𝐕𝐈𝐏 🔥 ¡𝐍𝐨 𝐥𝐨 𝐩𝐢𝐞𝐧𝐬𝐞𝐬 𝐦𝐮𝐜𝐡𝐨! 𝐋𝐚𝐬 𝐩𝐥𝐚𝐳𝐚𝐬 𝐯𝐮𝐞𝐥𝐚𝐧… 𒆜𒁂 𒆜 𒁂 𒆜 𒁂 𒆜 𒁂𒆜 𒁂𒆜 ‼️ᴏʙᴛÉɴ ʜᴀꜱᴛᴀ ᴜɴ 70% ᴅᴇ ʀᴇʙᴀᴊᴀ ᴇɴ ɴᴜᴇꜱᴛʀᴏꜱ ᴘʀᴏᴅᴜᴄᴛᴏꜱ ᴄᴏɴ ᴅᴇꜱᴄᴜᴇɴᴛᴏꜱ ᴇxᴄʟᴜꜱɪᴠᴏꜱ EN ESPAÑA 🇪
🚨 ¡Únete ahora a la botonera! 🚨 🚀 Llega más lejos y consigue más usuarios totalmente GRATIS 📈 ¡No dejes escapar el mejor escaparate para tus grupos! 👇 Solo el mejor contenido 👇
🚨🚨ÚNETE A NUESTRO NUEVO CANAL DE CURIOSIDADES🚨🚨 📚🔍CURIOSO MUNDO📚✍ 🌎DONDE ENCONTRARAS A DIARIO LOS DATOS LAS CURIOSIDADES Y LAS NOTICIAS MÁS INTERESANTES E IMPACTANTES DE ESTE MUNDO.🔍 ÚNETE AHORA🤝 👇👇 https://t.me/Curiosomundo2
😁3👍1
💯𝐋𝐨𝐬 𝐦𝐞𝐣𝐨𝐫𝐞𝐬 𝐜𝐚𝐧𝐚𝐥𝐞𝐬 𝐝𝐞 𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦💯 Ꮲrᴇsᴇnᴛᴀdᴏs ᴩᴏr: 🛎 「𝘽𝙤𝙩𝙤𝙣𝙚𝙧𝙖 𝙂𝙖𝙡𝙖𝙭𝙞𝙖」 🛎 😳⏳DISPONIBLE POR UNAS HORAS⌛️😱 ❤️❤️❤️ ÚNETE AHORA ‼️‼️‼️
Showing the 12 most recent of 28 posts we hold for @NovosDramas. 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
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.
@NovosDramas named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
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 5 September 2026 — this entry's latest reading, not the date you are reading this.
“QUANDO MEU EX ME ABANDONOU” (@NovosDramas), 7,374 subscribers as measured 5 September 2026. Telegram Register, tgregister.com/channel/NovosDramas.
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.