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
提案23.12
ゆっくり22.72
吐く22.90
やっと23.21
思い出す22.70
生活22.93
止め22.78
いつだって23.91
近い22.79
今年23.34
22.30
事はない22.83
なー23.13
ノートパソコン24.84
それ22.40
です21.71
居なくなる24.05
言葉通り23.92
改良23.93
処置23.99
実家23.44
げろ25.40
と言うのは22.57
かな22.42
また22.19
大変22.84
びびる24.52
きっと22.65
頼む22.70
運営23.53
人生23.17
戸惑う23.51
過去23.06
見る22.00
22.75
んで23.13
寒さ23.89
21.64
上手く22.88
行く21.99
餓鬼24.06
能力22.61
運ぶ22.97
失せる24.31
アカウント名26.30
入れ22.71
素晴らしい23.20
一度22.79
会う22.62
容易い23.61
22.74
座標24.32
付け22.69
流れ22.90
程度22.58
殊に22.16
被害23.14
評価23.17
企業24.05
これ22.15
丸椅子25.32
ところで22.57
今日は22.66
23.24
同じ22.31
一通り23.70
22.57
優越感24.57
仕事22.50
買う22.81
素早い23.27
22.23
結構22.82
22.61
後に22.87
22.51
ネット上25.08
あれだけ23.46
些し23.99
倦く25.19
と思ったら23.50
よね22.43
21.95
情報22.52
大災害24.74
欲しい22.46
押して23.73
済み23.55
一年前24.33
22.47
により22.99
どうして22.71
告げる22.80
見舞い24.38
一日23.24
位置情報24.98
帰る22.52
予言24.10
駄目22.86
初めて22.64

Showing 1001 - 1100 of 1,436 words