Telegram RegisterThe public register of Telegram
Telegram profile photo for Neural Machine

Channel

Neural Machine

@neuralmachine

On this record: Topic · Growth · Engagement · Reactions · Stars · Posts · Posts recorded as deleted · Citations · Telegram's recommendations · Cite this entry

48,659subscribers

-120 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001179898802
TypeChannel
Username@neuralmachine
Created1 February 2018 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live11 November 2026
Measurements held62
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/neuralmachine

Topic

Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 21 August 2026 and assigned it the closest of 31 fixed categories, at 47% 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

48,63148,82548,72848,6596 August 202611 November 2026
62 measurements spanning 97 days, net -120. 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 48,602–48,854 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 62
Measured (UTC)SubscribersChange
11 Nov 2026, 13:5148,659+6
9 Nov 2026, 21:3548,653-9
8 Nov 2026, 14:0948,662-6
6 Nov 2026, 09:0848,668-13
5 Nov 2026, 12:0048,681-17
4 Nov 2026, 11:2548,698-5
3 Nov 2026, 09:3648,703-9
2 Nov 2026, 06:3748,712+6
1 Nov 2026, 05:2048,706+9
31 Oct 2026, 08:3448,697-4
30 Oct 2026, 09:4448,701-4
29 Oct 2026, 12:3648,705+8
28 Oct 2026, 15:0648,697-2
27 Oct 2026, 11:5648,699-9
26 Oct 2026, 09:1448,708+1
25 Oct 2026, 08:4548,707+4
24 Oct 2026, 10:0148,703-2
23 Oct 2026, 08:4948,705+20
22 Oct 2026, 05:5048,685+9
20 Oct 2026, 20:3648,676first reading

Engagement

215 posts held, back to 27 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 201 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
38.7%
avg views ÷ 48,659 subscribers
Avg views / post
18,800
59 posts measured
Reaction rate
5.30%
reactions ÷ views · ER floor
Posts in window
59
of 215 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 10 November 2026
Posts held215 (27 July 2026 – 10 November 2026)
Views total1,110,170
Reactions total58,810
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 08:53 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.

Reaction mix

223,523 reactions across 212 posts, in 11 distinct kinds. The most used accounts for 55.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤123,36455.2%
🥰28,36012.7%
😢23,63110.6%
😈17,2927.74%
😱11,8805.31%
🤯6,5862.95%
💊5,4852.45%
🖕2,9741.33%
👏2,6091.17%
👎7890.353%
🤡5530.247%

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 215 of the 215 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 226,603 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 215 most recent posts we hold, published 27 July 2026 to 10 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
526
across the posts below
Posts paid on
192
of 215 we hold a reading for · 89%
Most on one post
53
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @neuralmachine. 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 215 most recent posts we hold for this entry, published 27 July 2026 to 10 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: 0 of 59 posts held from the last 30 days (0%) 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).

10 Nov 2026, 17:19 UTC≈6,660 views726 reactions1 Starread 11 November 2026

Ты не просто человек, ты — цветок, цветок Вселенной.

🥰511❤153😈29👏13😢10💊6🖕2🤯2

10 Nov 2026, 16:18 UTC≈9,510 views787 reactions2 Starsread 11 November 2026

Фетиш на ноги начинается здесь

❤420😱190😈106🤯24🥰15💊13👎8👏5

10 Nov 2026, 15:06 UTC≈13,300 views899 reactions3 Starsread 11 November 2026

Жить, жить, какать, сойти с ума, умереть

❤561😢210🥰62💊19😈16👏14🤯10😱6

8 Nov 2026, 14:16 UTC≈13,200 views1,055 reactions2 Starsread 11 November 2026

Я порнозвезда. Извините, я не порнозвезда.

❤575😢332🖕51🤯37💊27😈17🥰12👎2

8 Nov 2026, 12:07 UTC≈12,400 views989 reactionsread 11 November 2026

У меня слюнки текут, детка, о боже мой, о, о, у меня слюнки текут, ты такая милая

❤587🥰223😈99🖕29💊25😱22😢4

6 Nov 2026, 18:20 UTC≈16,900 views882 reactionsread 11 November 2026

Кричите от ужаса, карлики, это только начало!

❤468😱269😈90🥰25😢15💊9🖕6

6 Nov 2026, 14:16 UTC≈20,500 views911 reactions1 Starread 11 November 2026

Бог пива скоро явится к вам.

😈588❤195🥰69😱22💊17🖕8😢6🤡4

6 Nov 2026, 12:15 UTC≈22,300 views1,183 reactions2 Starsread 11 November 2026

Давай, блядь, веселись.

❤724😈242😢119🥰39💊20🤡15🖕14👎6

5 Nov 2026, 18:20 UTC≈18,800 views1,131 reactions1 Starread 11 November 2026

Если вы оборотень, вы должны быть готовы подчиниться своей оборотнице.

❤715🥰239😈129👏15💊10👎9🤯7🖕5

5 Nov 2026, 17:25 UTC≈18,300 views943 reactions2 Starsread 11 November 2026

Кот замышляет убийство моей жизни прямо сейчас.

❤572😢171😈108😱52🥰17💊11🤯10🖕1

5 Nov 2026, 10:35 UTC≈18,000 views1,012 reactions1 Starread 11 November 2026

Я уже старая, а ведь я была такой молодой.

😢772❤145💊44🥰18😈13🖕7😱7👎2

4 Nov 2026, 20:32 UTC≈15,200 views820 reactionsread 11 November 2026

Брат, что самое сексуальное?

❤490😈204🤯60🥰27🤡14💊10🖕8👎4

Showing the 12 most recent of 215 posts we hold for @neuralmachine. 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 recorded as deleted after publishing

We recorded 8 posts on @neuralmachine 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
30 August 2026
Most recent seen missing
10 November 2026
Median time before seen missing
7 days
Seen missing in the last 30 days
5

Forward network

Republished by

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

Republished by 115 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.

check your borders
@checkbpd · 303
9 posts
пары ртути
@mercury_vapour · 36
7 posts
Культ Берты
@cult_of_the_Bertha · 25
5 posts
@fukasesfate
@fukasesfate · 3
5 posts
「」luc1enz0s nightmare「」
@Pencil_AndNightmares · 44
3 posts
S_Bibaнархист🚩🚩
@SBiba222 · 75
3 posts
Счастливые женщины постят
@happywomenyeah · 253
3 posts
МАААМ
@jwjwksosos · 7
3 posts
морли 🛰
@starssparks · 171
3 posts
🏴‍☠️루메이 (Lu Mei)
@the_lu_mei · 194
3 posts
Hikkiomori larp confession
@HLCcos · 62
2 posts
кудахтахтах настоящий
@KUDAHTOOHTOOH_true · 22
2 posts
𝐆𝐨𝐭𝐡 𝐏𝐞𝐭𝐞𝐫
@PeterGoth · 421
2 posts
[ЗАМОРОЖЕН] Sarah!! ^^
@Sara_Danbar · 144
2 posts
Что-то на богатом
@billionswithme · 39
2 posts
первой эякулирует бухгалтерия
@buhcumlter · 36,960
2 posts
burnednurse
@burnednurse · 70
2 posts
фрактальная партия черешня
@cherypol · 14
2 posts
Hot Wheels
@fuckinginsomniabedamned · 23
2 posts
гусь пернатый@🪿
@gysPernatyiShit · 42
2 posts
Эллилион
@holylland · 19
2 posts
❂𐂷 ƖƝƑⰙ|ⱲƖȴȴ 𐂷❂
@info_will · 4
2 posts
Кент на кухне
@kitchen_homie · 10
2 posts
соль plueyпост 69hundred BURGERS and 67 pizzas
@nirululz · 54
2 posts
~°《Аш》°~/ Рест😋
@prostoKanal_da_da · 22
2 posts
пшеницаделоговорит
@solodoteka · 163
2 posts
Сёма тут
@somuchhere · 17
2 posts
книга жалоб саши 📗
@xxndrx · 26
2 posts
Фривольный дневник
@yagnenokvkorobke · 9
2 posts
(Не)Нужный контент, собираемый Зуриком.
@zurikchan · 464
2 posts
ягодное безобразие
@Berrysside · 44
1 post
Жопный гусь
@a2sgoose · 14
1 post
A\Ɐ
@a_new · 9
1 post
Архив
@ar4ivum · 32
1 post
Эшли Джонсон позвонит
@ashleyjohnsoncalls · 324
1 post
берти бо
@biboberti · 141
1 post
Blóðgatari
@bloodgatari · 41
1 post
Бобринский пикми щп
@bodrisheeetpost · 131
1 post
Бля, я богема
@bogemblya · 2
1 post
Pizdatiy дед 🪲
@brother_in_rock · 140
1 post
слезы по сонсанам
@cry4seosang · 175
1 post
идут три еврея по дороге
@cukerkinakladovka · 8
1 post
: Mast3rr and inf0 . <(ツ)
@dangeruosMaster_info · 14
1 post
till death do us together
@death_research · 103
1 post
херота кошачья 🐈
@djdjxkdkxb · 22
1 post
РЬ)Б@ Ф 4NПС@}{ [zhaluetsa]
@fishinchipscomplain · 53
1 post
Daniel / GVDT... [ARCHIVE]
@front242_Kroker · 21
1 post
双葉ちゃんの青春!!!! 🌱🌻
@ftbchnsesshun · 6
1 post

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 1 registered channel — 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.

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.

Neural Meduza
@neuralmeduza · 20,374
#1
Neural Shit
@NeuralShit · 54,643
#2
когда нечего ответить
@nechegotvetit · 53,520
#3
Сегодня я спиздила мем🐁
@today_i_stole_some_memes · 24,213
#4
Руконожковые комиксы
@eto_krivo · 34,277
#5
wtf tumblr?
@wtf_tumblr · 7,771
#6
Hikikomori
@hikikomori_on · 29,523
#7
Testsapo: Тесты и квизы
@testsapo · 108,089
#8
Тесты и точка.
@test_dot · 509,139
#9
nerds
@nerds · 410,643
#10
Пездуза
@pezduzalive · 368,836
#11
здесь живет броен
@br1anm7ps · 1,096,289
#12
Нейрогороскопы
@neural_horo · 47,719
#13
фен
@fen_nation · 6,107
#14
r/ретранслятор
@retra · 165,761
#15
Я не понимаю это смешно или уже нет!!
@sashaonline · 86,007
#16
идзая : бинго ; интерактивы ; опросы
@ord0favonius · 44,761
#17
votdelaaaaa0
@votdelaaaaaa0 · 19
#18
так давно никогда
@takdavnonikogda · 4,272
#19
не вешай носик котёночек
@meow_meow_cute · 113,019
#20
Гермес где-то услышал
@hermesheardsomewhere · 6,480
#21
Аутичные переводы
@autichnieperevodii · 15,631
#22
Фикбук
@ficbook_official · 289,506
#23
🫧💗антейку стил элайв ✨🫧
@anteikovich111 · 33,383
#24
Препод говорит
@prepodsay · 38,988
#25
нейроотличные картинки
@neurodiverpics · 15,165
#26
персик
@anthonyuly · 232,734
#27
Fact Honkai: Star Rail
@fact_honkaistarrail · 19,191
#28
Позже всех. Уже точно
@livefrom2007 · 72,510
#29
цитаты дмитрия куплинова
@dimaboh · 2,990
#30
коты ишачат на заводе
@rabotyagikoti · 71,877
#31
Nerdivergent | Нейроразнообразие
@nerdivergent · 4,098
#32
Мои любимые юморески
@myfavoritejumoreski · 79,346
#33
че
@jqofa · 61,127
#34
твиттота
@twitt_ota · 418,557
#35
Медуза — LIVE
@meduzalive · 1,116,844
#36
girlpower.jpeg
@girrl_pwrr · 18,107
#37
Погранично-шизоидные отношения|ПШО
@prlshrlinlove · 35,833
#38
Kuplinov ► Play
@Kuplinov_Telegram · 905,332
#39
Honkai: Star Rail RU
@honkaistarrailofficial · 228,858
#40
Лентач
@lentachold · 391,507
#41
первой эякулирует бухгалтерия
@buhcumlter · 36,960
#42
Хонкай: Стар Рейл | Бледная
@blednayaleaks_hsr · 65,335
#43
Мямба
@myaamba · 1,709
#44
Геншин Импакт | Бледная
@blednayaleaks_genshin · 109,858
#45
как стать девочкой-волшебницей
@postmodernsoldier · 29,331
#46
Вести от Паймон (старый юзернейм)
@paimon_leaks · 10
#47
sndk
@sndkgram · 357,747
#48
Genshin Impact RU
@genshin_impact_ru_off · 475,265
#49
Project Сливай
@provslivah · 30,281
#50
ALIEN STAGE 👽
@ALNSTG · 51,173
#51
Honkai: Star Rail | iNFO
@honkai_star · 112,857
#52
АНДРЕЙ ПИРОКИНЕЗИС И КОТЁНОК РА
@pyrokinesistg · 143,243
#53
Honkai: Star Rail | Миря
@honkai_star_rail_leaks · 48
#54
cool sapphic memes 👩‍❤️‍💋‍👩
@memessapphic · 3,680 (as read 26 August 2026)
#55
неофолк тред
@neofolkthread · 37,651
#56
Нейро Рецепты
@neural_recipes · 8,826
#57
Дождь | Новости
@tvrain · 468,077
#58
фасоликус томатикус
@fasolicus · 38,948
#59
Genshin Media
@genshinmedia · 160,233
#60
Бестиа́рий
@bestiariy_mif · 72,311
#61
Reddit | Genshin Leaks
@genshinreddit · 51,660
#62
Project SEKAI COLORFUL STAGE! ♪ Untitled Team 🔒
@pjsekai_ru · 20,959
#63
Олёша
@etoolesha · 29,148
#64
Екатерина Шульман
@eschulmann · 299,577
#65
ментальный хаос
@mentalchaos · 10,188
#66
Матвей Лыков
@lykovmatvey · 36,348
#67
Комиксы BUBBLE
@bubble_comics · 41,078
#68
Странные слайды презентаций
@weirdslidesofficial · 2,335
#69

Read from Telegram’s recommendation API, most recently 26 August 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.

Сегодня я спиздила мем🐁
@today_i_stole_some_memes · 24,213
Telegram ranks this channel #2 of 53 here — alongside 52 others — read 16 September 2026
Нейрогороскопы
@neural_horo · 47,719
Telegram ranks this channel #3 of 83 here — alongside 82 others — read 26 August 2026
когда нечего ответить
@nechegotvetit · 53,520
Telegram ranks this channel #3 of 67 here — alongside 66 others — read 26 August 2026
Препод говорит
@prepodsay · 38,988
Telegram ranks this channel #20 of 82 here — alongside 81 others — read 30 August 2026
Neural Shit
@NeuralShit · 54,643
Telegram ranks this channel #22 of 92 here — alongside 91 others — read 24 August 2026
Мама в Телеграме
@mamavtelegrame · 46,578
Telegram ranks this channel #26 of 88 here — alongside 87 others — read 26 August 2026
мемы про котов (по ржать)
@memyprokotow · 21,508
Telegram ranks this channel #33 of 70 here — alongside 69 others — read 23 September 2026
Цитаты преподавателей
@quotes_teacher · 47,313
Telegram ranks this channel #39 of 76 here — alongside 75 others — read 26 August 2026
Фёдор Достоевский. Лайфстайл
@dostoevskiy_life · 37,996
Telegram ranks this channel #41 of 79 here — alongside 78 others — read 31 August 2026
Testsapo: Тесты и квизы
@testsapo · 108,089
Telegram ranks this channel #41 of 66 here — alongside 65 others — read 14 August 2026
catharsis
@truecatharsis · 48,745
Telegram ranks this channel #42 of 65 here — alongside 64 others — read 26 August 2026
Странная планета
@strangeplanetrus · 22,478
Telegram ranks this channel #43 of 75 here — alongside 74 others — read 20 September 2026
Помыла руки
@washed_hands · 39,008
Telegram ranks this channel #57 of 74 here — alongside 73 others — read 30 August 2026
элли на маковом поле
@enmp_music · 19,590
Telegram ranks this channel #63 of 68 here — alongside 67 others — read 1 October 2026
Грядут Приключения
@gryadut · 26,415
Telegram ranks this channel #65 of 87 here — alongside 86 others — read 12 September 2026
Олёша
@etoolesha · 29,148
Telegram ranks this channel #65 of 69 here — alongside 68 others — read 8 September 2026
Современное искусство
@artornet · 28,327
Telegram ranks this channel #81 of 97 here — alongside 96 others — read 9 September 2026

This channel appears in 17 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 11 November 2026 — this entry's latest reading, not the date you are reading this.

“Neural Machine” (@neuralmachine), 48,659 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/neuralmachine.

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.