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Channel

Ольга Абрамова про переговоры

@HRD_mediator

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Polls · Citations · Telegram's recommendations · Cite this entry

28,596subscribers

-399 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001729132274
TypeChannel
Username@HRD_mediator
DescriptionО деловых переговорах и конфликтах простым языком Abramovaolga.ru Медиатор конфликтов в менеджменте. Тренер по переговорам. Ex-HR директор Coca-Cola, Syngenta, Toyota. Harvard Law School, медиатор @olga_mediator РКН: https://clck.ru/3FRLW6
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live25 September 2026
Measurements held36
Confirmed unchanged1 time, most recently 25 September 2026
On Telegramt.me/HRD_mediator

Topic

Other / unclassifiable — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 52% 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 why it has no browse page of its own yet.

Growth

28,59628,99528,795.56 August 2026 — 28,995 subscribers6 August 2026 — 28,995 subscribers6 August 2026 — 28,984 subscribers7 August 2026 — 28,974 subscribers8 August 2026 — 28,967 subscribers9 August 2026 — 28,954 subscribers10 August 2026 — 28,941 subscribers11 August 2026 — 28,938 subscribers12 August 2026 — 28,926 subscribers13 August 2026 — 28,918 subscribers15 August 2026 — 28,902 subscribers16 August 2026 — 28,893 subscribers17 August 2026 — 28,884 subscribers18 August 2026 — 28,879 subscribers19 August 2026 — 28,878 subscribers20 August 2026 — 28,870 subscribers21 August 2026 — 28,864 subscribers22 August 2026 — 28,847 subscribers24 August 2026 — 28,817 subscribers25 August 2026 — 28,809 subscribers26 August 2026 — 28,804 subscribers27 August 2026 — 28,793 subscribers28 August 2026 — 28,784 subscribers29 August 2026 — 28,773 subscribers30 August 2026 — 28,760 subscribers31 August 2026 — 28,750 subscribers1 September 2026 — 28,740 subscribers2 September 2026 — 28,729 subscribers3 September 2026 — 28,724 subscribers6 September 2026 — 28,715 subscribers9 September 2026 — 28,673 subscribers11 September 2026 — 28,661 subscribers13 September 2026 — 28,656 subscribers15 September 2026 — 28,650 subscribers17 September 2026 — 28,633 subscribers25 September 2026 — 28,596 subscribers6 August 202625 September 2026
36 measurements spanning 51 days, net -399. 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 28,536–29,055 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 36
Measured (UTC)SubscribersChange
25 Sept 2026, 22:2228,596-37
17 Sept 2026, 09:5528,633-17
15 Sept 2026, 09:5828,650-6
13 Sept 2026, 15:3628,656-5
11 Sept 2026, 23:3928,661-12
9 Sept 2026, 15:4128,673-42
6 Sept 2026, 05:1628,715-9
3 Sept 2026, 22:0128,724-5
2 Sept 2026, 13:1328,729-11
1 Sept 2026, 13:2728,740-10
31 Aug 2026, 14:1628,750-10
30 Aug 2026, 15:1828,760-13
29 Aug 2026, 14:1228,773-11
28 Aug 2026, 17:1928,784-9
27 Aug 2026, 13:4228,793-11
26 Aug 2026, 14:4328,804-5
25 Aug 2026, 17:1628,809-8
24 Aug 2026, 14:1728,817-30
22 Aug 2026, 23:3828,847-17
21 Aug 2026, 12:3828,864first reading

Engagement

155 posts held, back to 30 July 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 74 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.50%
avg views ÷ 28,596 subscribers
Avg views / post
1,000
62 posts measured
Reaction rate
1.90%
reactions ÷ views · ER floor
Posts in window
62
of 155 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 28 September 2026
Posts held155 (30 July 2026 – 28 September 2026)
Views total62,070
Reactions total1,180
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Sept 2026, 23:20 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
≈1,450
Videos
≈910
Links
≈921

Lifetime counters from Telegram’s own channel header, read 28 September 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
24m 53s
Average length
57s

Measured directly from 26 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

2,790 reactions across 147 posts, in 15 distinct kinds. The most used accounts for 32.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤90532.4%
🔥86631.0%
👍85330.6%
💯1224.37%
👏110.394%
🤔60.215%
🤣60.215%
😁50.179%
❤‍🔥40.143%
😍40.143%
👀20.072%
🙏20.072%
🤩20.072%
🍓10.036%
💔10.036%

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 154 of the 155 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 2,977 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 155 most recent posts we hold, published 30 July 2026 to 28 September 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 155 we hold a reading for · 0.6%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @HRD_mediator. 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 155 most recent posts we hold for this entry, published 30 July 2026 to 28 September 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

28 Sept 2026, 08:39 UTC589 views15 reactionsread 28 September 2026
Photo

«Время героев»: мои впечатления после выступления На днях я выступила с темой деловых переговоров на программе «Время героев». «Время героев» — управленческая программа для героев СВО, которая по поручению Президента России Владимира Путина реализуется Высшей школой государственного управления Президентской академии на базе Мастерской управления «Сенеж» президентской платформы «Россия — страна возможностей». И хоч…

🔥11❤4

28 Sept 2026, 05:03 UTC683 views20 reactionsread 28 September 2026
Photo

🔚 Фраза дня «Важно не то, какие у вас ответы, а какие вы задаёте вопросы. Правильный вопрос может перевернуть всё» — Стив Джобс

🔥15❤3👍2

27 Sept 2026, 16:00 UTC772 views7 reactionsread 28 September 2026
Photo

🗓 Подборка полезных постов за неделю ▪️Ультиматумы в переговорах — что за ними стоит? Как реагировать на ультиматум в переговорах здесь; ▪️Что делать, когда мы в слабой позиции в переговорах? обсудили здесь; ▪️Почему обсуждение плана превратилось в конфликт? Как воспринимаются слова руководителя обсудили в кейсе здесь; ▪️Что усиливает нашу позицию в переговорах? Рассказала о четырех факторах здесь; ▪️Что ответит…

🔥3❤2👍2

27 Sept 2026, 14:26 UTC733 views13 reactionsread 28 September 2026
Photo

🎞 Новый выпуск: «Я промолчал — хороший ответ пришёл потом» Есть особый вид раздражения после переговоров: когда идеальный ответ приходит минут через 20 после встречи. Только человек, которому мы хотели его сказать, уже ушёл. В этом выпуске: 😊Почему в переговорах мы внезапно теряем дар речи? 😊Мой комментарий по ситуации выше 😊Мы не знаем, что сказать или не решаемся это озвучить? 😊Прием, который помогает выиграть …

❤6👍5🔥2

27 Sept 2026, 08:10 UTC823 views12 reactionsread 28 September 2026
Video

Почему мы говорим «хорошо», когда хочется сказать «нет»? Представьте обычную рабочую встречу↘️ Обсуждают проект, распределяют задачи, и уже ближе к концу руководитель как бы между делом говорит: — «Тогда этот блок тоже берёшь ты. Срок — пятница» И сразу переходит к следующему вопросу. А у вас в голове: «Подождите. Это же не сходится. Объём вырос, а срок остался прежним…» Но вокруг коллеги, разговор уже пошёл дальш…

🔥7❤3👍2

27 Sept 2026, 06:34 UTC833 views20 reactionsread 28 September 2026
Photo

🔚 Фраза дня «Нет», сказанное с глубокой убеждённостью, лучше, чем «да», сказанное только для того, чтобы обрадовать или, хуже того, чтобы избежать проблем» — Махатма Ганди

💯9❤6🔥4👍1

26 Sept 2026, 09:50 UTC931 views32 reactionsread 28 September 2026
Video

Когда многословие мешает нам убеждать? Замечали ли вы за собой или окружающими людьми: когда человек в тревоге, то он начинает быстрее и больше говорить? Нам кажется, что мы еще недостаточно убедили собеседника. Поэтому к одному аргументу добавляем второй, третий, четвертый: — «Сейчас еще вот это объясню. И еще приведу пример. Пусть у человека будет больше аргументов — сам выберет». Что в этот момент происходит с…

🔥20❤10👍2

26 Sept 2026, 06:33 UTC904 views33 reactionsread 28 September 2026
Photo

🔚 Фраза дня «Большинство людей слушают не с целью понять, а с целью ответить» — Стивен Кови

💯20👍8🔥4❤1

25 Sept 2026, 13:42 UTC981 views22 reactionsread 28 September 2026

Что ответить клиенту, который требует результат? Что многие делают, когда чувствуют себя виноватыми? Начинают оправдываться, подробно рассказывать, сколько всего уже сделали и поспешно обещать результат: ❌ «Мы понимаем, но команда работает практически круглосуточно, мы уже подключили дополнительных специалистов…» Клиент прав: для него это действительно процесс. Количество наших усилий само по себе его проблему не …

❤10👍10🔥2

25 Sept 2026, 07:35 UTC927 views7 reactionsread 28 September 2026
Photo

Потренируемся? Представьте ситуацию↘️ В работе с важным клиентом ваша команда допустила ошибку. Вы уже разобрались, что произошло, и на встрече объясняете клиенту, какие действия предприняли, чтобы исправить ситуацию и не допустить повторения. Но клиент вас перебивает: — «Это всё процесс! А мне нужен результат!» Ошибка действительно была на нашей стороне. Клиент недоволен, и у него есть для этого основания. Поэто…

👍3❤2🔥2

25 Sept 2026, 05:01 UTC920 views48 reactionsread 28 September 2026
Photo

🔚 Фраза дня «Успех — это движение от неудачи к неудаче без потери энтузиазма» — Уинстон Черчилль

💯17👍13❤7🔥7🤩2🙏2

24 Sept 2026, 15:36 UTC≈1,020 views10 reactionsread 28 September 2026
Poll

Что чаще всего ослабляет именно вашу позицию в сложных переговорах?

  1. Не хватает информации об оппоненте14%
  2. Теряю уверенность под давлением37%
  3. Нет хорошего плана Б (альтернативы)12%
  4. Собеседник перехватывает управление разговором12%
  5. Слишком быстро иду на уступки7%
  6. Боюсь сказать «нет» и испортить отношения6%
  7. Начинаю много объяснять и оправдываться6%
  8. Боюсь потерять сделку / клиента6%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

👍4❤3🔥3

Showing the 12 most recent of 155 posts we hold for @HRD_mediator. 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.

Posts edited after publishing

@HRD_mediator edited 6 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
18 August 2026
Most recent edit
1 September 2026

Polls

The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.

24 Sept 2026, 15:36 UTCAnonymous Poll109 voters

Что чаще всего ослабляет именно вашу позицию в сложных переговорах?

  1. Не хватает информации об оппоненте14%
  2. Теряю уверенность под давлением37%
  3. Нет хорошего плана Б (альтернативы)12%
  4. Собеседник перехватывает управление разговором12%
  5. Слишком быстро иду на уступки7%
  6. Боюсь сказать «нет» и испортить отношения6%
  7. Начинаю много объяснять и оправдываться6%
  8. Боюсь потерять сделку / клиента6%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 155 most recent posts we hold, published 30 July 2026 to 28 September 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

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

Named by 4 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.

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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

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#46
HR-архитектор
@HRArchitect · 10,823
#47
HRPROSVET
@hrprosvet · 7,990
#48
Юлия Михальчук • Адвокат
@Mikhalchuk_Yulia · 16,702
#49
«Как делать» - сообщество по управлению персоналом
@HR_kak_delat · 9,957
#50
Рули, Натали
@rulinatali · 3,591
#51
Сидоркина про организационный дизайн
@sidorkinaorgdesign · 6,403
#52
Канал HRbezHR
@hrbezhr2022 · 3,510
#53
Копылова Мария /Юрист/ Наставник / Медиатор
@urist_kopylova · 446
#54
Карьера с Айгюн Курбановой
@aboutcareer1 · 8,127
#55
Цыпкин/Tsypkin
@tsypkintherealone · 101,706
#56
Денис Конанчук II ExecEd
@konanchuk · 3,671
#57
Сусана Киракосян
@kirakosyan_susana · 1,719
#58
Наталия Глаголева Архитектор лидерских групп | Наталия Глаголева
@nataglagoleva · 544
#59
Виталий Крылов - Команда А
@howtomake10x · 17,299
#60
Без aspera
@bezaspera · 73,110
#61
Леонид Кроль Live
@leonidkrollive · 4,776
#62
Пригодится! 🍏 Что пишут про HR
@hrstorage · 5,669
#63
Коммуникации без драмы - Жанна Смирнова
@zhanna_smirnovaa · 3,236
#64
Смольникова Светлана
@smolnikovasn · 11,540
#65
ГЮЗЕЛЬ ГАРАЕВА | ШКОЛА УП «КОМПАС»
@schoolhrcompass · 9,583
#66
Раньше всех. Ну почти.
@bbbreaking · 1,974,402
#67
Мир сегодня с "Юрий Подоляка"
@yurasumy · 2,672,095
#68
Сладков+
@sladkov_plus · 705,173
#69
СОЛОВЬЁВ
@solovievlive · 1,101,856
#70
Резидент
@rezident_ua · 920,149
#71
Олег Царёв
@olegtsarov · 403,085
#72
СУПЕРВИЗИЯ В МЕДИАЦИИ
@supervision_mediation · 405
#73
ZERGULIO
@SergeyKolyasnikov · 452,487
#74
Zлой Пруф️
@proofzzz · 610,756
#75
Пул N3
@dimsmirnov175 · 332,880
#76
Дорогая Хурма
@expensive_hurma · 151,300
#77
НЕБОЖЕНА
@imnotbozhena · 504,326
#78
Diana Live
@dianalivelive · 42,976
#79
#МОНТЯН!
@montyan2 · 300,138
#80
Александр Ходаковский
@aleksandr_skif · 315,383
#81
Яна Поплавская
@the_yana_poplavskaya · 170,080
#82
Неочевидное. Александра Ремизова
@sasha_remrem · 9,425
#83
Рамзай
@ramzayiegokomanda · 152,271
#84
Политджойстик / Politjoystic ™
@politjoystic · 250,578
#85
Захар Прилепин
@zakharprilepin · 224,352
#86
Лучшие вакансии
@vacanciesbest · 161,817
#87
ГАСПАРЯН
@ASGasparyan · 174,806
#88
Хазин
@khazinml · 244,587
#89
Беспощадный пиарщик
@prbezposhady · 151,691
#90
Профессор смотрит в мiръ. Авторский Анонимный канал Дмитрия Евстафьева
@dimonundmir · 207,632
#91
Записки какого-то мужика
@zapiski_man3 · 31,606
#92
Говорит Фурсов
@govoritfursov · 130,383
#93
МАРДАН
@mardanaka · 209,055
#94
Андрей Медведев
@MedvedevVesti · 183,029
#95
Мультипликатор
@multievan · 868,694
#96
НЕПРИНЦЕССА
@im_not_aprincess · 50,148
#97
Малек Дудаков
@malekdudakov · 82,693
#98
Китай — Вавилов
@shuohuaxia · 144,665
#99

Read from Telegram’s recommendation API, most recently 9 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

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.

Игорь Рызов | Переговоры и продажи
@ryzov_igor · 46,941
Telegram ranks this channel #9 of 98 here — alongside 97 others — read 27 August 2026
Департамент коммуникаций
@communication_department · 41,197
Telegram ranks this channel #32 of 74 here — alongside 73 others — read 29 August 2026
Король Говорит! Ораторское
@korolgovorit_school · 23,933
Telegram ranks this channel #65 of 94 here — alongside 93 others — read 17 September 2026

This channel appears in 3 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 25 September 2026 — this entry's latest reading, not the date you are reading this.

“Ольга Абрамова про переговоры” (@HRD_mediator), 28,596 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/HRD_mediator.

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.