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Channel

菲律宾大事件

@PHDA15

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

91,228subscribers

-15,442 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001199193281
TypeChannel
Username@PHDA15
Description#要点资讯 #安危事件 #曝光爆料 #时事新闻 社会热点 趣事吃瓜 灰产行业 博彩行业 推广行业 求职招聘 黑公司 黑平台 跑路跳票 借钱不还 骗子避雷 等 欢迎关注* 菲律宾大事件 投稿爆料: @ace5858 商务合作: @ace5858
CreatedBetween 1 March 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live7 September 2026
Measurements held29
Confirmed unchanged1 time, most recently 7 September 2026
On Telegramt.me/PHDA15

Topic

Gambling & betting — 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 10 August 2026 and assigned it the closest of 31 fixed categories, at 92% 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

91,228106,67098,9497 August 2026 — 106,670 subscribers7 August 2026 — 106,670 subscribers8 August 2026 — 106,244 subscribers9 August 2026 — 104,956 subscribers10 August 2026 — 103,714 subscribers10 August 2026 — 103,529 subscribers11 August 2026 — 102,317 subscribers12 August 2026 — 101,844 subscribers14 August 2026 — 101,332 subscribers15 August 2026 — 101,467 subscribers16 August 2026 — 100,359 subscribers17 August 2026 — 100,189 subscribers18 August 2026 — 99,211 subscribers19 August 2026 — 98,513 subscribers20 August 2026 — 99,022 subscribers22 August 2026 — 97,915 subscribers23 August 2026 — 98,416 subscribers25 August 2026 — 97,624 subscribers26 August 2026 — 97,677 subscribers27 August 2026 — 97,273 subscribers28 August 2026 — 96,904 subscribers29 August 2026 — 95,728 subscribers30 August 2026 — 95,490 subscribers31 August 2026 — 94,995 subscribers1 September 2026 — 94,465 subscribers2 September 2026 — 93,677 subscribers3 September 2026 — 93,791 subscribers4 September 2026 — 93,800 subscribers7 September 2026 — 91,228 subscribers7 August 20267 September 2026
29 measurements spanning 31 days, net -15,442. 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 88,912–108,986 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 29
Measured (UTC)SubscribersChange
7 Sept 2026, 10:4091,228-2,572
4 Sept 2026, 18:2293,800+9
3 Sept 2026, 01:0593,791+114
2 Sept 2026, 01:3693,677-788
1 Sept 2026, 03:3894,465-530
31 Aug 2026, 05:4394,995-495
30 Aug 2026, 07:3795,490-238
29 Aug 2026, 05:1395,728-1,176
28 Aug 2026, 05:5396,904-369
27 Aug 2026, 05:2397,273-404
26 Aug 2026, 05:1297,677+53
25 Aug 2026, 03:1697,624-792
23 Aug 2026, 16:3798,416+501
22 Aug 2026, 04:3897,915-1,107
20 Aug 2026, 19:1399,022+509
19 Aug 2026, 20:4998,513-698
18 Aug 2026, 18:1899,211-978
17 Aug 2026, 21:33100,189-170
16 Aug 2026, 19:25100,359-1,108
15 Aug 2026, 10:17101,467first reading

Engagement

760 posts held, back to 7 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 69 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
5.41%
avg views ÷ 91,228 subscribers
Avg views / post
4,930
674 posts measured
Reaction rate
0.366%
reactions ÷ views · ER floor
Posts in window
674
of 760 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 420 of 674 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 9 September 2026
Posts held760 (7 August 20269 September 2026)
Views total3,323,833
Reactions total6,273
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Sept 2026, 05:50 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
60,600
Videos
6,880
Links
11,800

Lifetime counters from Telegram’s own channel header, read 9 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
3h 12m
Average length
38s

Measured directly from 305 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

7,177 reactions across 474 posts, in 8 distinct kinds. The most used accounts for 13.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🎉95713.3%
👏92812.9%
92712.9%
😁90212.6%
🥰87612.2%
🔥87212.1%
👍86512.1%
🤩85011.8%

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 474 of the 760 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 7,177 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 760 most recent posts we hold, published 7 August 2026 to 9 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.

Recent posts

9 Sept 2026, 05:44 UTC45 viewsread 9 September 2026
Photo

#菲律宾新闻 马科斯对菲律宾在最新PISA测试中的“良好”表现感到欣喜 菲律宾最新PISA成绩公布,15岁学生在阅读、科学和数学三项测试中的成绩均创本国历史新高。 阅读367分,较2022年提高20分 科学373分,提高17分 数学371分,提高16分 马科斯表示对此感到欣喜,并称菲律宾是教育表现改善较快的国家之一。政府将继续增加教室、电脑、网络和教材投入。 不过,菲律宾三项成绩仍低于OECD平均水平,科学排名第77,数学第74,阅读第72。 值得注意的是,OECD数据显示,菲律宾近年来阅读成绩进步较快。 ⭐投稿爆料商务合作 @ace5858 ⭐菲律宾大事件 @PHDA15

9 Sept 2026, 05:08 UTC45 views16 reactionsread 9 September 2026
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#柬埔寨资讯:金边波森芝区打击网络诈骗 17名孟加拉国籍人员被捕 金边消息:9月8日下午,金边市联合指挥部在波森芝区卡卡普2分区一处房屋开展打击网络诈骗行动,现场逮捕17名孟加拉国籍男子。 警方称,现场查获电脑、手机等设备。经初步调查,嫌疑人涉嫌冒充世界银行工作人员,以提供虚假贷款为由,针对孟加拉国民众实施网络诈骗。 目前,17名嫌疑人及相关证据已移交金边市警察局,案件正在进一步依法处理。 ⭐投稿爆料商务合作 @ace5858 ⭐菲律宾大事件 @PHDA15

🎉9👏32👍1🔥1

9 Sept 2026, 04:45 UTC522 viewsread 9 September 2026
Video

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9 Sept 2026, 04:35 UTC≈1,590 views17 reactionsread 9 September 2026
Video

凌晨突袭!马来西亚布城移民局突查“绿公寓”,大批外籍人员被带走 2026年9月9日凌晨,马来西亚布城移民局对当地一处被称为“绿公寓”(Flat Hijau)的地点展开突击检查,大批外籍人员被执法人员带走接受检查。 目前,现场行动的具体原因尚未明确,是否涉及打击网络诈骗、电诈窝点,或主要针对无合法证件、逾期逗留等移民违法行为,暂时无法确认。 目前尚未看到更多官方细节,具体涉案人数、国籍及案件性质仍有待马来西亚移民局进一步公布。 ⭐投稿爆料商务合作 @ace5858 ⭐菲律宾大事件 @PHDA15

7👍3🎉2👏2🤩1🥰1😁1

9 Sept 2026, 04:08 UTC≈2,030 viewsread 9 September 2026
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9 Sept 2026, 04:01 UTC≈2,100 views11 reactionsread 9 September 2026
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🥰3🎉2🔥2🤩2👍1👏1

9 Sept 2026, 03:33 UTC953 views15 reactionsread 9 September 2026
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#越南资讯:海防“黑诊所”案19人被诉,含5名中国籍人员 据越南媒体Kenh14报道,9月7日晚,越南海防市公安局调查警察机关通报,已对红凤综合诊所(Phòng khám Đa khoa Phượng Đỏ)涉嫌敲诈勒索、逃税一案提起公诉,共有19名嫌疑人被立案调查,其中包括多名医生、医护人员及5名外籍人员。 据警方调查,红凤综合诊所隶属于海防医疗服务有限责任公司,位于海防市安边坊(phường An Biên),于2017年3月开始运营。该诊所实际投资人为中国籍外籍人员林伟民(LIN WEI MIN,1971年出生)。他雇佣武仲进(1991年出生)担任公司经理,并由陈氏秋香(1982年出生)担任副经理。 调查显示,患者大多通过社交媒体搜索男科、妇科等相关信息后,联系该诊所官网,再通过客服电话或在线人员引导前往诊所接受检查和医疗操作。 然而,在治疗过程中,涉案医生和护士被指故意让患者陷入剧烈疼痛和恐慌,同时夸大病情严重程

🥰5🎉2👍2👏2😁2🔥1🤩1

9 Sept 2026, 02:08 UTC≈15,200 viewsread 9 September 2026
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9 Sept 2026, 00:27 UTC≈2,220 views16 reactionsread 9 September 2026
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中国驻南非大使馆紧急提醒,约堡地区接连发生侨胞遭绑架案件。 中国驻南非大使馆发布紧急安全提醒。近期南非约翰内斯堡的塞尔比和杰米斯顿地区,连续发生中国侨胞被绑架案件。人身与财产安全面临严重威胁。 使馆郑重提醒广大侨胞,务必密切关注当地安全形势,进一步提高安全防范意识,主动防范绑架风险。日常出行尽量结伴而行,避开偏僻路段。不透露个人与家庭信息。遇陌生人搭讪或尾随,及时前往人员密集场所求助。 安全无小事。身在海外,平安第一。提高警惕,做好防护,及时关注官方安全指引。 海外不是法外之地。时刻绷紧安全这根弦,保护好自己,才是对家人最大的负责。 ⭐投稿爆料商务合作 @ace5858 ⭐菲律宾大事件 @PHDA15

🤩10🎉21👍1🥰1😁1

8 Sept 2026, 16:03 UTC≈9,740 viewsread 9 September 2026
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8 Sept 2026, 15:40 UTC≈10,100 views17 reactionsread 9 September 2026
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😁6🎉53👏2🤩1

8 Sept 2026, 15:00 UTC≈10,100 viewsread 9 September 2026
Video

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Showing the 12 most recent of 760 posts we hold for @PHDA15. 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.

Mentions

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.

东南亚(有话说)|曝光日记
@db933 · 190,037
#1
今日全网曝光频道
@bg833 · 291,001
#2
头条快报
@ttkb0 · 114,273
#3
东南亚大事件 头条事件
@phda11 · 2,675
#4
东南亚沸点Time🥇
@vip35r · 60,895
#5
今日头条
@jinritoutiao6 · 36,589 (as read 15 August 2026)
#6
柬埔寨西港曝光吃瓜新闻
@kaleminews · 135,975
#7
安危事件
@anwei2 · 35,607
#8
新华社丨新闻曝光
@iiiik · 47,103
#9
迪拜华人大事件|新闻|曝光
@DB405 · 48,979
#10
东南亚曝光网
@baoheitai · 1,160
#11
东南亚大事件|曝光|悬赏|投稿🏆
@dyy83 · 111,620
#12
新博东南亚新闻
@xbbg8 · 293
#13
最前线大事件曝光
@cctv_dy · 49,148
#14
东南亚新闻💎
@vipn8888 · 75,460
#15
东南亚华人情报站
@svip40 · 112,330
#16
今日聚焦曝光
@a0159 · 126,836
#17
东南亚新闻|斑马曝光|news
@Banma_xinwen · 93,971
#18
新闻资讯
@BG_BG8 · 29,086
#19
柬埔寨大事件
@Cambodia15 · 51,311
#20
东南亚🇨🇿今日头条
@huohu158 · 129,452
#21
菲律宾华人事件
@feilvbinghuarenriji · 9,994
#22
🇦🇪迪拜大事件/东南亚新闻
@YYL333 · 111,056
#23
东南亚BC热点新闻
@baoguangqun110 · 38,639
#24
东南亚吃瓜🍉
@dny1577 · 5,478
#25
菲律宾热点新闻【东南亚一手新闻】
@redianxinwenpindao · 2,666
#26
Makati新闻社
@makatinews · 35,038
#27
大象曝光|新闻
@dxdb001 · 9,110
#28
东南亚大事件/头条事件
@toutiao_4 · 1,203
#29
头条事件
@toutiaoshijian · 78,206
#30
菲律宾大事件灰产新闻/曝光
@tg89aa · 102,865
#31
安危头条/新闻头条
@dnyawtt · 53,308
#32
黑彩平台曝光
@heicaibaog · 74,977
#33
东南亚大事件·news channel
@gejige · 110,607
#34
菲律宾新闻频道
@baoguangqun999 · 39,215
#35
华人头条大事件曝光
@huarenvvip · 37,613
#36
新闻早班车🐾
@tg04277 · 51,176
#37
东南亚头条吃瓜
@svipzz · 29,539
#38
菲律宾新闻|华人资讯曝光|philippine news
@feilvbinhuarenzixun · 75,080
#39
华人大事件-吃瓜新闻
@baoguang821 · 58,723
#40
菲龙网新闻|官方频道
@woaiui · 10,087
#41
柬埔寨大事件🇰🇭西港日记
@xinwenhc · 128,823
#42
迪拜新闻|华人资讯大曝光
@xinwen118 · 112,677
#43
华人第一资讯
@Dzx199 · 24,674
#44
全球资讯曝光大事件
@nnccqq · 38,908
#45
吃瓜新闻大曝光
@jiuboo · 23,498
#46
博彩新闻/今日头条/东南亚新闻
@xinhuaribao · 947
#47
全网曝光
@rjjjj · 42,755
#48
东南亚今日头条.
@mbhl1 · 2,517
#49
《今日新闻》
@cctvPH · 206,693
#50
中文安危曝光🌸海外华人日记
@tghuarenba · 46,637
#51
华人事件【头条新闻】
@toutiao331 · 376
#52
东南亚🌍安危大事件 (💋菲 柬 迪 泰 缅 老挝💋)爆料
@quanqiubaoliao · 210,412
#53
东南亚曝光黑平台灰产绑架吃瓜
@TGPG999 · 4,814
#54
曝光黑平台&黑佣金
@BG886 · 55,257
#55
东南亚曝光吧(吃瓜)
@SB919 · 148,774
#56
狗仔爆料_吃瓜爆光新闻大事件
@gouzaibaoliao · 2,181
#57
斯里兰卡头条新闻曝光
@baoguangee · 198,046
#58
东南亚新闻博彩曝光
@bg99599 · 77,499
#59
博度-东南亚曝光新闻
@bodu08 · 60,583
#60
柬埔寨新闻《柬埔寨曝光》
@sii76 · 196,855
#61
【曝光频道】迪拜菲律宾东南亚最新资讯
@baoguang212 · 17,747
#62
缅甸新闻|华人资讯曝光|myanmar news
@miandianhuarenzixun · 76,178
#63
泰国新闻|华人资讯曝光|thailand news
@taiguohuarenzixun · 81,019
#64
天下支付曝光平台
@TXJT_01 · 3,976
#65
柬埔寨西港大事件
@BG423 · 33,673
#66
【菲律宾新闻】最新爆光
@baoguang211 · 24,166
#67
东南亚曝光(吃瓜)
@dongnanya108 · 165,450
#68
菲律宾大事件|菲律宾新闻|The Philippines生活资讯
@flb00 · 12,959
#69
泰国大事件
@dnyxst · 69,508
#70
东南亚大事件(吃瓜)
@HH9915 · 125,070
#71
曝光资讯
@baoguangba8 · 23,219
#72
菲律宾大事件 全球曝光🚀
@feilvbin198 · 95,324
#73
Солодовников. Кратко
@solodovnikovia · 171,667
#74
东南亚大事件
@chadnag001 · 58,267
#75

Read from Telegram’s recommendation API, most recently 15 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.

头条快报
@ttkb0 · 114,273
Telegram ranks this channel #9 of 77 here — alongside 76 others — read 14 August 2026
柬埔寨大事件
@Cambodia15 · 51,311
Telegram ranks this channel #14 of 65 here — alongside 64 others — read 24 August 2026
东南亚(有话说)|曝光日记
@db933 · 190,037
Telegram ranks this channel #15 of 65 here — alongside 64 others — read 11 August 2026
东南亚大事件|曝光|悬赏|投稿🏆
@dyy83 · 111,620
Telegram ranks this channel #18 of 69 here — alongside 68 others — read 14 August 2026
🇦🇪迪拜大事件/东南亚新闻
@YYL333 · 111,056
Telegram ranks this channel #38 of 66 here — alongside 65 others — read 17 August 2026
菲律宾新闻大事件|philippine news
@feilvbin2025 · 99,778
Telegram ranks this channel #39 of 41 here — alongside 40 others — read 25 August 2026
Crypto Whale Pumps
@Cryptowhalepump_official · 31,475
Telegram ranks this channel #43 of 71 here — alongside 70 others — read 24 August 2026
泰国大事件|全球大事件曝光 悬赏
@xinwen0888 · 107,333
Telegram ranks this channel #49 of 70 here — alongside 69 others — read 17 August 2026
安危头条/新闻头条
@dnyawtt · 53,308
Telegram ranks this channel #55 of 65 here — alongside 64 others — read 23 August 2026
东南亚华人漂泊日记-柬埔寨大事件曝光
@GGooGG66 · 142,576
Telegram ranks this channel #59 of 64 here — alongside 63 others — read 14 August 2026
东南亚🇨🇿今日头条
@huohu158 · 129,452
Telegram ranks this channel #64 of 74 here — alongside 73 others — read 15 August 2026
东南亚大事件·news channel
@gejige · 110,607
Telegram ranks this channel #73 of 77 here — alongside 76 others — read 15 August 2026
Друзья Дональда
@steven_bb · 704,315
Telegram ranks this channel #78 of 86 here — alongside 85 others — read 13 August 2026
Солодовников. Кратко
@solodovnikovia · 171,667
Telegram ranks this channel #82 of 93 here — alongside 92 others — read 13 August 2026

This channel appears in 14 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 7 September 2026 — this entry's latest reading, not the date you are reading this.

“菲律宾大事件” (@PHDA15), 91,228 subscribers as measured 7 September 2026. Telegram Register, tgregister.com/channel/PHDA15.

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.