Prediction and Analysis Translated by AI. You can view the original text by changing the setting in your account
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こる Translated by AI. You can view the original text by changing the setting in your account
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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
Estimated reading time per work
Words 4,503
Sentences 480
Characters 8,945
Unique Words 1,436
1-Occurrence Words 908
Words that appear only once in the text (hapax legomena)
Unique Kanji 737
1-Occurrence Kanji 286
Kanji that appear only once in the text
Avg Word Difficulty 2.32
Avg Sentence Length 9.4
Word List (1,436 words)
| Word | Frequency | Difficulty |
|---|---|---|
| 班 | 16 | 3.63 |
| だった | 16 | 1.58 |
| 渡し | 16 | 2.40 |
| さ | 19 | 1.59 |
| 賛同 | 20 | 3.94 |
| 拡散 | 20 | 4.01 |
| なる | 20 | 1.37 |
| てる | 20 | 1.65 |
| あいつ | 20 | 2.86 |
| ない | 22 | 1.61 |
| こと | 22 | 1.30 |
| 下 | 22 | 1.38 |
| し | 22 | 1.60 |
| 解析 | 22 | 3.69 |
| ても良い | 24 | 2.90 |
| して | 27 | 1.31 |
| その | 27 | 1.44 |
| れる | 27 | 1.22 |
| ０ | 28 | 3.08 |
| な | 29 | 1.04 |
| 返信 | 29 | 4.19 |
| も | 29 | 1.04 |
| 板 | 30 | 1.29 |
| けど | 31 | 1.79 |
| いる | 40 | 1.00 |
| する | 42 | 1.24 |
| から | 47 | 1.17 |
| 信じる | 57 | 2.80 |
| と | 59 | 0.77 |
| で | 75 | 0.86 |
| は | 90 | 0.48 |
| に | 144 | 0.54 |
| が | 149 | 0.48 |
| て | 162 | 0.56 |
| を | 182 | 0.41 |
| の | 208 | 0.28 |
Showing 1401 - 1436 of 1,436 words