Uni ko'rish uchun nima qilsam ekan? Yangi hokimman deb uyiga kirib tozaligini tekshirsamikan?

Channel
Nazariy
@nazariyadv
On this record: Growth · Engagement · Reactions · Stars · Posts · Citations · Cite this entry
19subscribers
+1 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001183909420 |
|---|---|
| Type | Channel |
| Username | @nazariyadv |
| Created | Between 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 11 August 2026 |
| Last confirmed live | 12 September 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 2 times, most recently 12 September 2026 |
| On Telegram | t.me/nazariyadv |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 4 Sept 2026, 08:37 | 19 | -1 |
| 28 Aug 2026, 11:05 | 20 | +1 |
| 15 Aug 2026, 10:43 | 19 | +1 |
| 11 Aug 2026, 18:02 | 18 | no change |
| 6 Aug 2026, 17:50 | 18 | first reading |
Engagement
20 posts held, back to 25 October 2025 — 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 page of 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 9 August 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
2 reactions across 2 posts, in 2 distinct kinds. The most used accounts for 50.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 💯 | 1 | 50.0% | |
| 🔥 | 1 | 50.0% |
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 5 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 2 reactions 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 25 October 2025 to 9 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 20 we hold a reading for · 5%
- Most on one post
- 1
- single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @nazariyadv. 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 20 most recent posts we hold for this entry, published 25 October 2025 to 9 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
🐠 «AKVARIUMDAGI OLTIN BALIQCHA» EFFEKTI Yoki ilmiyroq nomi bilan — Filter Bubble (filtr pufagi). Tasavvur qiling: siz akvarium ichida yashayapsiz. Atrofingizdagi butun dunyo sizga ko‘rinib turibdi, deb o‘ylaysiz. Aslida esa siz ko‘rayotgan manzara kimdir tomonidan saralab berilgan. Bugungi internet ham xuddi shunday ishlashi mumkin. Soddaroq qilib aytganda: «Siz internetda o‘zingizga yoqadigan ma’lumotlarni tobo…
Photo, posted without a caption
SIMULYATSIYA GIPOTEZASI NIMA? Bu — biz yashayotgan butun koinot, jumladan o'z ongimiz ham, aslida yuqori rivojlangan tsivilizatsiya tomonidan yaratilgan kompyuter simulyatsiyasi bo'lishi mumkinligi haqidagi falsafiy g'oya. Buni 2003-yilda Oksford faylasufi Nik Bostrom ilmiy argument sifatida taqdim etgan. Uning mantig'i shunday: agar kelajakda biror tsivilizatsiya butun koinotni simulyatsiya qila oladigan darajaga …
Guvoh effekti (Bystander Effect) Atrofda odam qanchalik ko'p bo'lsa, yordam berish ehtimoli shunchalik kamayadi. — bu favqulodda vaziyatda atrofda guvohlar qanchalik ko'p bo'lsa, jabrlanuvchiga yordam berish ehtimoli va tezligi shunchalik pasayishi haqidagi ijtimoiy-psixologik fenomendir. Soddaroq aytganda: "Nega men qilishim kerak? Atrofda shuncha odam turibdi-ku, kimdir baribir yordam beradi" degan ongsiz fikrlash…
"Uchinchi shaxs" effekti (Third-Person Effect) — bu bizning media, reklama, tashviqot (propaganda) yoki ijtimoiy tarmoqlardagi feyk xabarlarning o'zimizga bo'lgan ta'sirini yetarlicha baholamasligimiz, lekin boshqalarga ta'sirini haddan tashqari oshirib yuborishimizdir. Soddaroq aytganda: "Reklama va propaganda boshqa sodda odamlarni osongina aldaydi, lekin men aqlliman, menga ta'sir qilmaydi" degan ongsiz ishonch. E…
Langar effekti (Anchoring Effect) — bu miyamizning birinchi eshitgan ma'lumotiga (raqamga) yopishib olishi va keyingi barcha qarorlarni aynan shu ma'lumotga taqqoslab qabul qilishidir. Kema langari uni bir joyga bog'lab qo'ygani kabi, birinchi raqam ham fikrimizni ma'lum bir doiraga zanjirlab qo'yadi. U qanday ishlaydi? Simple misollar: Sotuvda: Biror kurs narxi oldin $500 bo'lgani, hozir esa $99 ga tushgani yozilga…
Tarixiy tajriba: Hamma bir xil "shaxsiyat"ga egami? Forer o'z talabalariga shaxsiyatni aniqlovchi test beradi. Talabalar testni to'ldirgandan so'ng, professor ularga go'yoki test natijalari asosida tayyorlangan individual tahlillarni tarqatadi. Aslida esa, Forer test natijalarini umuman tekshirmagan va barcha talabalarga bir xil matnni bergan edi. Matn gazetadagi munajjimlar bashoratidan olingan gaplardan yig'ilgan e…
Omon qolganlar xatosi (Survivorship Bias) — bu mantiqiy va statistik xatolik bo'lib, qaror qabul qilishda faqat muvaffaqiyatga erishgan ("omon qolgan") ma'lumotlarga tayanib, ko'zga ko'rinmaydigan muvaffaqiyatsiz ("halok bo'lgan") holatlarni hisobga olmaslik natijasida kelib chiqadi. Soddaroq aytganda: biz faqat g'oliflarni ko'ramiz va ularning tajribasi asosida xato xulosalar chiqaramiz, mag'lublar esa tarixta ko'mi…
👀
Photo, posted without a caption
Senga qadar, sen bilganlarni, bilganimni, bilsayding qani..
Showing the 12 most recent of 20 posts we hold for @nazariyadv. 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.
Forward network
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.
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.
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.
“Nazariy” (@nazariyadv), 19 subscribers as measured 4 September 2026. Telegram Register, tgregister.com/channel/nazariyadv.
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.