Personal blog — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 70% 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 the other topics.
Growth
24 measurements spanning 91 days, net +97. 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”. The vertical axis spans 8,176–8,449 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 24
Measured (UTC)
Subscribers
Change
5 Nov 2026, 21:54
8,304
-25
2 Nov 2026, 13:26
8,329
-75
30 Oct 2026, 23:27
8,404
-13
27 Oct 2026, 13:14
8,417
+28
24 Oct 2026, 02:27
8,389
+13
21 Oct 2026, 04:18
8,376
+19
18 Oct 2026, 05:37
8,357
-8
14 Oct 2026, 23:19
8,365
+4
11 Oct 2026, 18:40
8,361
+28
5 Oct 2026, 01:36
8,333
+8
25 Sept 2026, 23:39
8,325
+39
17 Sept 2026, 12:38
8,286
+7
13 Sept 2026, 18:02
8,279
+2
9 Sept 2026, 18:41
8,277
+18
4 Sept 2026, 14:41
8,259
+25
1 Sept 2026, 02:33
8,234
+11
28 Aug 2026, 17:37
8,223
-17
26 Aug 2026, 00:02
8,240
-14
23 Aug 2026, 07:16
8,254
-3
20 Aug 2026, 05:24
8,257
first reading
Engagement
46 posts held, back to 20 June 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 33 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
28.7%
avg views ÷ 8,304 subscribers
Avg views / post
2,390
8 posts measured
Reaction rate
1.29%
reactions ÷ views · ER floor
Posts in window
8
of 46 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 7 of 8 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 6 November 2026
Posts held
46 (20 June 2026 – 6 November 2026)
Views total
19,085
Reactions total
243
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Nov 2026, 00:44 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.
What this channel posts
Photos
≈926
Videos
≈1,060
Links
≈1,470
Lifetime counters from Telegram’s own channel header, read 7 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
3m 46s
Average length
15s
Measured directly from 15 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
1,545 reactions across 45 posts, in 77 distinct kinds. The most used accounts for 6.47% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
custom 5458678995405020166
100
6.47%
custom 5458703386524293361
90
5.83%
custom 5190735188606349091
86
5.57%
custom 5409004481696260032
86
5.57%
custom 5208725165931786192
73
4.72%
custom 5460632995071296717
60
3.88%
custom 5408950901979239578
50
3.24%
custom 5336844985264262310
46
2.98%
custom 5411164253245692609
42
2.72%
custom 5201766090551622262
41
2.65%
custom 5379586163331848378
38
2.46%
custom 5404470585369579748
38
2.46%
custom 5472274156034732012
35
2.27%
custom 5420471073713960073
33
2.14%
custom 5458654514091432948
31
2.01%
custom 5237859522533434064
29
1.88%
custom 5292240495764853995
27
1.75%
custom 5404340589594434509
26
1.68%
custom 5271951890597309969
25
1.62%
custom 5359383341546098809
25
1.62%
57 further kinds
564
36.5%
Custom emoji. Every row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
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 45 of the 46 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 1,545 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 46 most recent posts we hold, published 20 June 2026 to 6 November 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
52
across the posts below
Posts paid on
24
of 46 we hold a reading for · 52%
Most on one post
4
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @nighttwiitch. 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 46 most recent posts we hold for this entry, published 20 June 2026 to 6 November 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
Telegram’s own ‘edited’ marker: 3 of 8 posts held from the last 30 days (37.5%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
☺️на была его самым опасным искушением… Женщиной, ради которой хотелось потерять рассудок, нарушить все запреты и забыть о существовании целого мира. Он притянул её к себе, крепко обхватив за талию, и впился в её губы долгим, жадным поцелуем, в котором смешались безумная страсть, нежность и неутолимое желание. Она отвечала ему так, словно этот поцелуй был последним в их жизни. Его сердце бешено колотилось, а пальцы д…
🤩 Каналы об ИИ и IT — в одной папке. Розыгрыш — вместе с ней 🤩
Пробуешь нейросети, пишешь код или просто следишь за технологиями 🤩
Мы собрали каналы, в которых есть что почитать: от новостей искусственного интеллекта и обзоров инструментов до разработки, автоматизации и примеров применения нейросетей.
🤩 Открывай GreenПапку, знакомься с авторами и выбирай, что читать.
🤩 ЗАБРАТЬ ПАПКУ
🤩 Организатор: Green.Папка
☺️н держал её лицо в своих ладонях так, словно боялся, что она исчезнет, стоит ему ослабить хватку. Её дыхание обжигало его губы, а близость сводила с ума сильнее любого прикосновения. Он смотрел на неё с той дикой, почти животной жаждой, которую невозможно скрыть за словами. Она была его слабостью, его искушением, его самым сладким безумием. Ещё мгновение — и между ними не останется ни расстояния, ни сомнений, ни вл…
☺️асколько бы сильно ты ни была привязана к человеку, люби себя ещё сильнее… Никогда не позволяй своим чувствам становиться причиной потери собственного достоинства. Не растворяйся в ком-то настолько, чтобы однажды не узнать себя в зеркале. Не умоляй о внимании, не выпрашивай любовь и не пытайся заслужить то, что должно идти от сердца. Помни: человек, который действительно дорожит тобой, никогда не заставит тебя сомн…
☺️не хотелось заполучить её всю… До последнего вздоха, до последней дрожи, до полного помутнения рассудка. Я чувствовал себя диким зверем, который слишком долго сидел в клетке и вдруг учуял свободу. Только моей свободой была она… Эта чертовски красивая женщина, от одного взгляда на которую во мне просыпалось что-то древнее, необузданное, почти животное.
Господи, как же она меня сводила с ума! Её походка, изгиб талии…
☺️не хотелось заполучить её всю… Без остатка, без единого шанса забыть её вкус, её запах, её прикосновения. Рядом с ней я чувствовал себя диким зверем, в котором проснулись самые первобытные инстинкты. Она будила во мне то, что я годами держал под замком. Одного её взгляда хватало, чтобы моя кровь превращалась в раскалённую лаву, а разум терял всякую власть над телом.
Чёрт возьми, эта женщина была моим самым сладким…
☺️ смотрел на неё сверху и понимал, что эта женщина — моё самое сладкое безумие. Она лежала передо мной, словно сама ночь подарила мне своё самое опасное искушение. Её изгибы сводили с ума, каждый вздох заставлял моё сердце биться сильнее. Я осторожно коснулся её шеи, чувствуя, как она запрокидывает голову и закрывает глаза. В ней было что-то дьявольски прекрасное — эта женственность, эта покоряющая грация, эта спосо…
☺️на была как спелая вишня — тёмная, сладкая, запретная. Сначала дразнила одним лишь видом, заставляя воображение сходить с ума… а потом оставляла на губах вкус искушения, к которому хотелось возвращаться снова и снова…🤩
𝘿𝙖𝙨𝙝𝙖 𝙈𝙞𝙙𝙣𝙞𝙜𝙝𝙩
фото в один клик
donate/поддержка автора
☺️на смотрела на него снизу вверх — спокойно, почти вызывающе. В этом взгляде не было ни страха, ни сомнений… только немой вопрос: «Ты действительно готов подойти так близко?» Он ещё не знал, что некоторые женщины не оставляют после себя воспоминаний — они оставляют зависимость…❤️🖤🖤
𝘿𝙖𝙨𝙝𝙖 𝙈𝙞𝙙𝙣𝙞𝙜𝙝𝙩
фото в один клик
donate/поддержка автора
☺️на была моим самым сладким искушением… Женщина, от которой я терял рассудок, забывал о приличиях и превращался в голодного хищника. Каждый изгиб её роскошного тела сводил меня с ума. Я хотел не просто обладать ею… Я хотел, чтобы она чувствовала мою страсть даже тогда, когда я к ней не прикасался…💋😇
𝘿𝙖𝙨𝙝𝙖 𝙈𝙞𝙙𝙣𝙞𝙜𝙝𝙩
фото в один клик
donate/поддержка автора
Showing the 12 most recent of 46 posts we hold for @nighttwiitch. 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.
Posts edited after publishing
@nighttwiitch edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
6 November 2026
Most recent edit
6 November 2026
Posts recorded as deleted after publishing
We recorded 4 posts on @nighttwiitch as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
12 August 2026
Most recent seen missing
6 November 2026
Median time before seen missing
44 hours
Seen missing in the last 30 days
1
Mentions
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.
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.
Твоими глазами ⚤ @TvoimiiGlazami · 37,224 Telegram ranks this channel #4 of 49 here — alongside 48 others — read 31 August 2026
Глубоко о женском @evacubbu · 38,952 Telegram ranks this channel #4 of 58 here — alongside 57 others — read 31 August 2026
Романтические Гифки ❤️ @negnostyy · 21,072 Telegram ranks this channel #6 of 24 here — alongside 23 others — read 25 September 2026
Carpe Diem @carpediiemm · 22,908 Telegram ranks this channel #8 of 24 here — alongside 23 others — read 24 September 2026
пальцы в чернилах. @fetissia · 19,745 Telegram ranks this channel #19 of 75 here — alongside 74 others — read 29 September 2026
AMOUR SCHOOL 💄💋 @amourschool · 19,550 Telegram ranks this channel #20 of 58 here — alongside 57 others — read 30 September 2026
Fladesire @fladesire · 25,041 Telegram ranks this channel #34 of 67 here — alongside 66 others — read 14 September 2026
सफलता ✍️ @Saflta_Motivation · 32,784 Telegram ranks this channel #44 of 44 here — alongside 43 others — read 3 September 2026
M @mno_mno1 · 25,117 Telegram ranks this channel #59 of 62 here — alongside 61 others — read 14 September 2026
Любовник Голубев @lovergolubev · 109,852 Telegram ranks this channel #73 of 80 here — alongside 79 others — read 14 August 2026
This channel appears in 10 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 5 November 2026 — this
entry's latest reading, not the date you are reading this.
“𝐍𝐈𝐆𝐇𝐓 𝐖𝐈𝐓☾𝐇” (@nighttwiitch), 8,304 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/nighttwiitch.
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.