佐藤誠(元警視庁捜査第一課) ✓
@Makoto_OB
元警視庁捜査第一課殺人犯捜査第1係取調官。数多くの凶悪犯と対峙し数々の難事件を解決に導く。佐藤誠相談室。ニコ生「佐藤誠のぶっちゃけライブ」、YouTube @元警視庁捜査一課佐藤、 「ホンボシ」(文藝春秋社)、サロンhttps://t.co/3EiZuhrbme
Latest posts
Against accounts of the same size
4 posts from the last 90 days, next to the 10K–100K follower range. reaches fewer people than peers, but engages them much harder.
| Metric | This account | Median for 10K–100K | Ratio |
|---|---|---|---|
| Median views per post | 274 | 924 | 0.30× |
| Reach (views ÷ followers) | 0.75% | 3.62% | 0.21× |
| Engagement rate | 6.58% | 1.52% | 4.33× |
Others in this range → Compare with another account → How these benchmarks are built →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
Last 4 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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