Prediction and Analysis

Prediction and Analysis

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It was by chance that I found that account on Twitter. I became absorbed in that account, which was bewildered by the mysterious phenomenon of wounds appearing on the body before earthquakes. When I learned that the locations where the wounds appeared corresponded to a map of Japan, I even created a system myself to act as an 'analysis team' that investigated which regions the wound positions corresponded to. And then one day, a heartbreaking tweet from the account owner came through―― ※2021.9.12 I have uploaded an afterword to the 【Believe it or not @earthquake】 side. ※It is also posted on "Alphapolis."

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Statistics

Reading Time
112 min
Words 4,503
Sentences 480
Characters 8,945
Unique Words 1,436
1-Occurrence Words
908
Unique Kanji 737
1-Occurrence Kanji
286
Avg Word Difficulty 2.32
Avg Sentence Length 9.4

Word List (1,436 words)

WordFrequencyDifficulty
ホッと13.71
たまたま13.63
実際に12.99
12.11
以上12.42
そうか12.72
1613.89
13.14
13.85
誰も12.77
渡す12.98
12.12
偶然13.40
12.73
その後12.80
店主13.44
ちゃう12.74
っけ13.23
サイド14.22
思い残す15.11
テンプレート15.33
12.64
上げ12.67
感傷14.46
なれば12.99
救出13.75
文字数14.63
掛かる13.07
ナースステーション16.17
欠かさず14.80
英雄的15.18
12.60
13.10
どころ13.88
一向に13.92
仕方ない12.99
くそっ13.74
大家14.37
行動12.64
精度14.06
縮尺15.13
自作14.34
ポン14.41
公費15.80
ツイート15.59
表現13.37
12.61
上がる12.69
内臓13.84
14.07
知らす14.00
震源地15.58
12.93
人物12.80
タオル13.85
どっちか14.25
ナースコール15.92
可惜13.37
遅く13.46
入り13.18
手書き14.83
近辺14.17
照れる13.93
サイズ13.36
驚くほど14.05
作品13.46
プリント14.58
ねぇ12.61
なんか12.48
こちら12.29
引っ張り出す14.74
規模13.33
数字13.71
手伝い13.54
先程13.07
まざまざ14.77
教え12.64
新しく13.70
社会人14.51
真っ青13.96
それにしても13.12
無邪気13.81
それに12.23
雑誌14.28
質問12.94
はたと14.57
残る12.71
手ずから14.71
押す13.40
喜ぶ13.26
終える12.86
ほう12.88
ちゃった13.01
削除14.34
くう13.45
13.44
13.47
祝す14.95
直す13.51
操作13.18

Showing 1101 - 1200 of 1,436 words