Telegram RegisterThe public register of Telegram

Channel

Turizmni rivojlantirish instituti

@tdiofficial

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

1,604subscribers

+4 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001403685528
TypeChannel
Username@tdiofficial
Created3 March 2020measured — cross-checked against a third-party dataset (TGDataset)
First recorded7 August 2026
Last confirmed live13 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/tdiofficial

Growth

1,6001,6041,6027 August 2026 — 1,600 subscribers7 August 2026 — 1,601 subscribers10 August 2026 — 1,603 subscribers13 August 2026 — 1,604 subscribers7 August 202613 August 2026
4 measurements spanning 7 days, net +4. 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 1,599–1,605 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 17:551,604+1
10 Aug 2026, 11:481,603+2
7 Aug 2026, 13:101,601+1
7 Aug 2026, 02:301,600first reading

Engagement

14 posts held, back to 29 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
17.2%
avg views ÷ 1,604 subscribers
Avg views / post
275
14 posts measured
Reaction rate
2.03%
reactions ÷ views · ER floor
Posts in window
14
of 14 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 11 of 14 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 6 August 2026
Posts held14 (29 July 20266 August 2026)
Views total3,853
Reactions total61
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 17:57 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

Video runtime
1m 03s
Average length
1m 03s

Measured directly from 1 video 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

61 reactions across 11 posts, in 5 distinct kinds. The most used accounts for 80.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍4980.3%
69.84%
👏46.56%
🕊11.64%
🙏11.64%

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 11 of the 14 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 61reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 14 most recent posts we hold, published 29 July 2026 to 6 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.

Recent posts

6 Aug 2026, 05:06 UTC211 views7 reactionsread 7 August 2026
Photo

Turizmni rivojlantirish ilmiy-tadqiqot instituti xodimi Natalya Ivonina Milliy malaka tizimini rivojlantirish institutida Milliy malaka standartini ishlab chiqish masalalariga bag‘ishlangan ikki kunlik amaliy seminarda ishtirok etdi. Seminar davomida Milliy malaka standartini ishlab chiqish, ta’lim natijalarini shakllantirish, ularni baholash va malakalarni baholash tizimi bilan integratsiya qilish bo‘yicha zamonavi

👍7

5 Aug 2026, 10:00 UTC214 views4 reactionsread 7 August 2026
Photo

📘 Qishloq turizmiga bag'ishlangan xalqaro jamoaviy monografiya nashrdan chiqdi Turizmni rivojlantirish ilmiy-tadqiqot instituti «Qishloq turizmi: hamkorlik va hududlarni barqaror rivojlantirishning yangi ufqlari» nomli xalqaro jamoaviy monografiya nashrdan chiqqanini ma'lum qiladi. Nashr 9 mamlakat — O'zbekiston, Belarus, Rossiya, AQSH, Avstriya, Albaniya, Filippin, Tojikiston va Polshadan 19 nafar olim va ekspertn

👍31

5 Aug 2026, 10:00 UTC251 views3 reactionsread 7 August 2026

Alohida bo'lim qishloq turizmini rivojlantirishning xorijiy modellariga, shuningdek, ushbu yo'nalishning Markaziy Osiyo mamlakatlarida, jumladan O'zbekistonda mavjud salohiyati, to'siqlari va istiqbollariga bag'ishlangan. Nashr ilmiy xodimlar, o'qituvchilar va talabalar, turizm sohasi mutaxassislari, davlat organlari va jamoat tashkilotlari vakillari, tadbirkorlar hamda fermerlarga — qishloq turizmi va hududlarni ri

2👍1

5 Aug 2026, 10:00 UTC201 views4 reactionsread 7 August 2026

Отдельный блок посвящен зарубежным моделям развития сельского туризма, а также потенциалу, барьерам и перспективам этого направления в странах Центральной Азии, включая Узбекистан. Издание адресовано научным работникам, преподавателям и студентам, специалистам туристской отрасли, представителям государственных органов и общественных организаций, предпринимателям и фермерам — всем, кто занимается развитием сельского

2👍1👏1

5 Aug 2026, 10:00 UTC239 views8 reactionsread 7 August 2026
Photo

📘 Вышла в свет международная коллективная монография о сельском туризме Научно-исследовательский институт развития туризма сообщает о выходе международной коллективной монографии «Сельский туризм: новые горизонты сотрудничества и устойчивого развития регионов». Издание подготовлено авторским коллективом из 19 ученых и экспертов, представляющих 9 стран: Узбекистан, Беларусь, Россию, США, Австрию, Албанию, Филиппины,

👍5👏21

4 Aug 2026, 11:14 UTC285 views6 reactionsread 7 August 2026
Video

#RetrainingCourse 📍“Ekskursiya imo-ishoralarda” kursining sayyor amaliy darslari va imtihoni bo‘lib o‘tdi “Ekskursiya imo-ishoralarda” surdogidlarni qayta tayyorlash kursi doirasida Samarqand shahrida sayyor amaliy darslar hamda imtihon tashkil etildi. Tinglovchilar shaharning turistik obyektlarida imo-ishora tilida ekskursiyalarni mustaqil olib borib, o‘zlarining nazariy bilimlari va amaliy ko‘nikmalarini namoyis

👍6

30 Jul 2026, 09:30 UTC326 views4 reactionsread 7 August 2026
Photo

#InternationalMonograph #RuralTourism Qishloq turizmi bo‘yicha xalqaro monografiya nashrga tayyorlanmoqda Turizmni rivojlantirish ilmiy-tadqiqot instituti tomonidan "Qishloq turizmi: hamkorlik va hududlarni barqaror rivojlantirishning yangi ufqlari" xalqaro jamoaviy monografiyasi tayyorlandi. Nashr dunyoning 9 mamlakatidan kelgan mualliflarning ilmiy tadqiqotlari va amaliy tajribalarini birlashtirgan. 212 sahifad

👍4

30 Jul 2026, 09:30 UTC392 views10 reactionsread 7 August 2026
Photo

#InternationalMonograph #RuralTourism Международная монография о сельском туризме готовится к изданию Научно-исследовательский институт развития туризма завершил подготовку международной коллективной монографии «Сельский туризм: новые горизонты сотрудничества и устойчивого развития регионов». Издание объединило научные исследования и практический опыт авторов из 9 стран мира. На 212 страницах представлены современ

👍10

30 Jul 2026, 05:00 UTC335 views5 reactionsread 7 August 2026

Hurmatli yurtdoshlar! Turizmni rivojlantirish ilmiy-tadqiqot instituti jamoasi sizlarni Xalqlar do‘stligi kuni bilan samimiy muborakbod etadi! Ushbu sana millatlararo do‘stlik, o‘zaro hurmat, tinchlik va hamjihatlik ramzidir. Aynan shu qadriyatlar mamlakatimiz taraqqiyoti, xalqaro hamkorlik va turizm rivojiga xizmat qiladi. Yurtimizdagi tinchlik va totuvlik mustahkam bo‘lsin, xalqimizning mehmondo‘stligi esa dunyo

👍3👏1🕊1

29 Jul 2026, 10:15 UTC255 views4 reactionsread 7 August 2026

#TrainingCourse 📍“Ekskursiya imo-ishoralarda” kursining sayyor amaliy darslari yakunlandi Turizmni rivojlantirish ilmiy-tadqiqot instituti tomonidan tashkil etilgan “Ekskursiya imo-ishoralarda” surdogidlarni qayta tayyorlash kursi doirasida Samarqand va Buxoro shaharlarida sayyor amaliy mashg‘ulotlar o‘tkazildi. Mashg‘ulotlar davomida tinglovchilar Samarqand va Buxoroning tarixiy-me’moriy yodgorliklari, UNESCO But

👍4

Showing the 12 most recent of 14 posts we hold for @tdiofficial. 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

Citation-graph rank — 363,118 of 1,480,688entries 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.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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

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.

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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“Turizmni rivojlantirish instituti” (@tdiofficial), 1,604 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/tdiofficial.

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.