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新型コロナちゃん速報@コロナ後遺症 緊急地震速報 地震大丈夫 ChatGPT ニュース速報 engagement report

@geiger_warning - 87K followers on X

Measured over 55 original posts from a 30-day window, last computed on August 31, 2026.

Engagement

Middle of its size range
Per follower
0.048%
of 87K followers
Per impression
0.614%
6.8K views on a typical post
Reach
7.84%
of its followers see a post
Typical post
42
interactions (median)
Saved
0.015%
1 bookmarks on a typical post
Posting rate
2.1/day
active 13% of days
Peak time
22:00 UTC
Saturday

A typical post picks up 42 interactions against 87K followers, an engagement rate of 0.048%. Measured over 55 original posts, its engagement rate beats 38% of 3,863 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 6.8K times each, and 0.614% of those impressions turn into an interaction. That is about 7.84% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.1 posts a day over the last 30 days, though only 13% of days saw any activity at all. Most posts go out around 22:00 UTC, and Saturday is the busiest day of the week. Of the 55 posts sampled, 75% carry an image or video, 7% are part of a thread and 5% link out. The account's strongest tracked post pulled 1.6K interactions, about 38x its own typical post. Recurring topics include #かわいい天気予報, #目痛い, #花粉症.

Measured over 55 original posts from a 30-day window, last computed on August 31, 2026. Recurring tags: #かわいい天気予報, #目痛い, #花粉症.

Compared with accounts its own size

新型コロナちゃん速報@コロナ後遺症 緊急地震速報 地震大丈夫 ChatGPT ニュース速報's engagement rate beats 38% of the tracked X accounts closest to it in follower count (3,863 accounts, accounts of similar size (decile 4 of 10)). A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.

On engagement per impression rather than per follower it beats 31% of the same group. When those two numbers disagree, the gap is about how far its posts travel rather than how people react to them.

Where this sits in the catalog

At 0.048%, 新型コロナちゃん速報@コロナ後遺症 緊急地震速報 地震大丈夫 ChatGPT ニュース速報 sits above the 25th percentile of the 37,582 accounts in this comparison. That places it in the below the median band, which runs 0.012% to 0.081%.

p100.002%
p250.012%
p50 (median)0.081%
p750.439%
p902.10%
p99158.1%
Engagement rate as a share of followers, across the 37,582 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 105,409 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.002%
25th percentile0.012%
50th percentile0.081%
75th percentile0.439%
90th percentile2.10%
99th percentile158.1%

This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built

Posting timing

This account posts most often around 22:00 UTC, and Saturday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 22:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 22:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%52K
01:00 UTC-2%53K
02:00 UTC-3%51K
03:00 UTC-4%55K
04:00 UTC-6%44K
05:00 UTC-4%43K
06:00 UTC-4%50K
07:00 UTC-5%54K
08:00 UTC-4%62K
09:00 UTC-3%72K
10:00 UTC-2%74K
11:00 UTC-3%81K
12:00 UTC-2%89K
13:00 UTC-2%98K
14:00 UTC-4%101K
15:00 UTC-2%104K
16:00 UTC-3%102K
17:00 UTC-3%94K
18:00 UTC-1%88K
19:00 UTC-2%83K
20:00 UTC-1%77K
21:00 UTC-1%68K
22:00 UTC-2%59K
23:00 UTC-2%53K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Saturday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Saturday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%237K
Monday0%300K
Tuesday-3%299K
Wednesday-1%256K
Thursday-1%249K
Friday-3%258K
Saturday+3%232K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Aug 30, 202638x their median

    【速報】東京 新型コロナ新たな変異株確認🚨 あかん😿 BA.3.2がしばらく今回の解析では主流となり、検出数も少ない状態が続いていましたが、7月末~8月初旬にかけて新たな変異株XFGが確認されています。(NB.1.8.1は過去にも確認済み) ただ、全体的に検査数が少なく、まだ分からないことも多いです。 新しい変異株が確認されたからといって、すぐに感染が拡大するとは限りません。大事なのは、これからXFGがどのくらい増えて、これまでの株に代わって広がっていくのかを見ること。 今のところは判断材料が少ないので、今後の変異株の動きはチェックしておいたほうがよさそうです。 東京都さん、もうちょっと頑張ってゲノム解析増やしてほしい。。。2件というのは、さすがにさみしいです😿

    1.0K55782340K viewsView on X
  • Aug 29, 202623x their median

    【超速報】東京1034人感染推計 新型コロナ 前週比2.88倍 実効再生産数1.133あかん😿ずっと3ケタをキープしてたのに、とうとう4ケタに突入しちゃったよ。もうすぐ2学期だから、なんとかここで止まってほしいな。コロナちゃん速報チェックしてねっ #TY2CoV #東京1034人 #モデルナ推計 moderna-epi-report https://t.co/2NTTAAylwy

    57937063126K viewsView on X
  • Aug 30, 202621x their median

    【考察】東京の新型コロナ急拡大確認(8/30) うぅ😿 実効再生産数1.218は、かなり急な増加傾向を示しています。 感染が急に増えているときは、検査から報告までの時間差があるため、直近の報告数だけでは実際の感染の広がりより少なく見えることがあります。 もちろん推計値なので誤差はあります。だからこそ、絶対数だけを見るのではなく、「増えているのか」「どのくらいの勢いなのか」を見ることが大切です。今回のような数字も、単発で見るよりグラフ全体の推移を見ると、変化が分かりやすいです。 感染が落ち着いているときは対策を緩め、増加が強くなってきたら少し意識する。データを見ながら、その時々でメリハリをつけていくのが、個人的には良いと思います。 コロナ対策は、長期戦です。頑張りすぎると息切れしちゃうので、無理なく続けられる対策を大切にしたいですね。

    57827101225K viewsView on X
  • Aug 27, 202619x their median

    【超速報】東京901人感染推計 新型コロナ 前週比2.51倍 実効再生産数1.068うっ😿一気に900人を超えちゃったよ。増加トレンドが続いてるけど、まだギリギリ3ケタをキープ中。早く減少傾向に戻って、4ケタになりませんように #TY2CoV #東京901人 #モデルナ推計 moderna-epi-report https://t.co/dOIIpHxsAp

    47128482522K viewsView on X
  • Aug 30, 202619x their median

    【超速報】東京1036人感染推計 新型コロナ 前週比2.31倍 実効再生産数1.218うぅ😿3日連続で4ケタを超えちゃったよ。先週と比べて2倍以上と勢いが増してるよ。まだ人数は少なめでも、急拡大中は感染対策を意識したほうが安心だよ。 #TY2CoV #東京1036人 #モデルナ推計 moderna-epi-report https://t.co/Kkbcslqeki

    46730121415K viewsView on X
  • Aug 29, 202611x their median

    【超速報】日本全国6842人感染推計 新型コロナ 前週比1.17倍 実効再生産数1.099うぅ😿増加傾向が止まらないよ。でも勢いはそこまでないかも。インフルも流行してきたから、早めに減少傾向へ戻ってほしいな。今はとっても大事な時期だよ。 #JPCoV #日本6842人 #モデルナ推計 moderna-epi-report https://t.co/sdxYpVLEdt

    302162179.3K viewsView on X
  • Aug 28, 202610x their median

    【速報】新型コロナ感染状況(令和8年第34週) 先週1.12人から1.18人に増加 1位 島根 3.50人 2位 和歌山 2.89人 3位 栃木 2.36人 4位 高知 2.27人 5位 鳥取 2.21人 6位 茨城 2.00人 7位 愛知 1.94人 8位 岐阜 1.93人 9位 徳島 1.91人 10位 三重 1.79人 (人/定点) #JPPCoV2 https://t.co/tLAJvnOhES

    2711533714K viewsView on X
  • Aug 27, 20269.0x their median

    【超速報】日本全国6599人感染推計 新型コロナ 前週比1.38倍 実効再生産数1.092うぅ😿増加傾向が止まらないよ。インフルも流行してきたから、なんとか2学期が始まる前に減少傾向へ戻ってほしいな。今はとっても大事な時期だよ。 #JPCoV #日本6599人 #モデルナ推計 moderna-epi-report https://t.co/KSBQQmEg0l

    2281460610K viewsView on X
  • Aug 30, 20268.5x their median

    【超速報】日本全国6965人感染推計 新型コロナ 前週比1.19倍 実効再生産数1.101うっ😿もうすぐ7千人を超えちゃいそう。でも直近は横ばいが続いてるよ。来週どこまで抑えられるかがポイント。拡大傾向だから、しばらく要注意だよ #JPCoV #日本6965人 #モデルナ推計 moderna-epi-report https://t.co/yTtagYrd3E

    217136037.8K viewsView on X
  • Aug 28, 20266.3x their median

    【超速報】インフルエンザが全国で流行入り 2009年に次ぐ過去2番目の速さ 厚労省(08/28 14:50) #テレ朝news

    170871834K viewsView on X

Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.

Recurring topics

#かわいい天気予報#目痛い#花粉症#黄砂予報#黄砂注意

The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.

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Reading these numbers

A typical post picks up 42 interactions against 87K followers, an engagement rate of 0.048%. Measured over 55 original posts, its engagement rate beats 38% of 3,863 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 6.8K times each, and 0.614% of those impressions turn into an interaction. That is about 7.84% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.1 posts a day over the last 30 days, though only 13% of days saw any activity at all. Most posts go out around 22:00 UTC, and Saturday is the busiest day of the week. Of the 55 posts sampled, 75% carry an image or video, 7% are part of a thread and 5% link out. The account's strongest tracked post pulled 1.6K interactions, about 38x its own typical post. Recurring topics include #かわいい天気予報, #目痛い, #花粉症.

What is 新型コロナちゃん速報@コロナ後遺症 緊急地震速報 地震大丈夫 ChatGPT ニュース速報's engagement rate on X?
新型コロナちゃん速報@コロナ後遺症 緊急地震速報 地震大丈夫 ChatGPT ニュース速報 (@geiger_warning) has an engagement rate of 0.048%, based on the median interactions across 55 original posts from the last 30 days against 87,211 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.048%, 新型コロナちゃん速報@コロナ後遺症 緊急地震速報 地震大丈夫 ChatGPT ニュース速報 sits above the 25th percentile of the 37,582 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
Does @geiger_warning have real engagement?
Its engagement rate beats 38% of the tracked X accounts closest to it in follower count (3,863 accounts), which puts it in the middle of its size range group. Ranking inside a size band matters because engagement rate falls as accounts grow, so a raw rate would mostly re-measure the follower count. It is a starting point for a look at follower quality, not a verdict on it.
When does @geiger_warning post?
Most posts go out around 22:00 UTC, and Saturday is its busiest day, at roughly 2.1 posts per day across the measured window.

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