Hail—pieces of ice that form and fall from clouds instead of snow or rain—has always been a problem for farmers in some areas of the United States. Hail pellets can fall with great force and destroy crops in the field. Over the last few decades, a method of reducing hail, called "cloud seeding," has been tried. In cloud seeding, the chemical silver iodide is sprayed on storm clouds from an airplane This makes the clouds produce harmless rain or snow instead of hail. Several pieces of evidence suggest that cloud seeding has been effective in protecting crops from hail
The reading states adequate pieces of evidence which have proved cloud seeding is beneficial to agriculture by preventing hails. However, the lecturer finds the ideas dubious and casts doubt on reasons proposed by the reading passage.
First, the author argues that since cloud seeding method was successful under laboratory condition, it might also have fruitful results in real situations. Conversely, the lecturer brings up the idea that silver iodide added to clouds might stop all kinds of raining and precipitations and lead to drought in those areas. Therefore, this reason is not convincing due to the shortage of water which crops will face.
Furthermore, the reading passage holds the view that as seed clouding has been effective in urban parts of Asia, it also might be helpful in the United States' farms. On the contrary, the professor underlines the fact that since urban areas have a high amount of pollutant particles which provide a good condition for this process, the result would not be repeated in unpolluted regions such as United States' farms.
Finally, the reading passage asserts that according to some few local studies which carried out, cloud seeding has a noticeable effect on reducing crop damages. In contrast, the speaker dismisses the issue due to the fact that this declining in damage not only have occurred in areas under experiment but also happened in adjacent areas. Thus, this decreasing in the amount of crops damage is irrelevant to cloud seeding.
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- tpo 41 81
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- TOEFL TPO 37 integrated writing question 3
Grammar and spelling errors:
Line 2, column 228, Rule ID: TO_NON_BASE[1]
Message: The verb after "to" should be in the base form: 'cloud'.
Suggestion: cloud
...up the idea that silver iodide added to clouds might stop all kinds of raining and pre...
^^^^^^
Transition Words or Phrases used:
also, but, conversely, finally, first, furthermore, however, so, therefore, thus, in contrast, such as, on the contrary
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 7.0 10.4613686534 67% => OK
Auxiliary verbs: 5.0 5.04856512141 99% => OK
Conjunction : 4.0 7.30242825607 55% => More conjunction wanted.
Relative clauses : 10.0 12.0772626932 83% => OK
Pronoun: 13.0 22.412803532 58% => OK
Preposition: 34.0 30.3222958057 112% => OK
Nominalization: 4.0 5.01324503311 80% => OK
Performance on vocabulary words:
No of characters: 1251.0 1373.03311258 91% => OK
No of words: 242.0 270.72406181 89% => More content wanted.
Chars per words: 5.1694214876 5.08290768461 102% => OK
Fourth root words length: 3.94415379849 4.04702891845 97% => OK
Word Length SD: 2.54215534288 2.5805825403 99% => OK
Unique words: 146.0 145.348785872 100% => OK
Unique words percentage: 0.603305785124 0.540411800872 112% => OK
syllable_count: 381.6 419.366225166 91% => OK
avg_syllables_per_word: 1.6 1.55342163355 103% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 4.0 3.25607064018 123% => OK
Article: 9.0 8.23620309051 109% => OK
Subordination: 0.0 1.25165562914 0% => More adverbial clause wanted.
Conjunction: 0.0 1.51434878587 0% => OK
Preposition: 2.0 2.5761589404 78% => OK
Performance on sentences:
How many sentences: 10.0 13.0662251656 77% => Need more sentences. Double check the format of sentences, make sure there is a space between two sentences, or have enough periods. And also check the lengths of sentences, maybe they are too long.
Sentence length: 24.0 21.2450331126 113% => OK
Sentence length SD: 46.0044563059 49.2860985944 93% => OK
Chars per sentence: 125.1 110.228320801 113% => OK
Words per sentence: 24.2 21.698381199 112% => OK
Discourse Markers: 11.9 7.06452816374 168% => OK
Paragraphs: 4.0 4.09492273731 98% => OK
Language errors: 1.0 4.19205298013 24% => OK
Sentences with positive sentiment : 4.0 4.33554083885 92% => OK
Sentences with negative sentiment : 6.0 4.45695364238 135% => OK
Sentences with neutral sentiment: 0.0 4.27373068433 0% => More facts, knowledge or examples wanted.
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.0982529465014 0.272083759551 36% => The similarity between the topic and the content is low.
Sentence topic coherence: 0.0397794452045 0.0996497079465 40% => Sentence topic similarity is low.
Sentence topic coherence SD: 0.0229649872993 0.0662205650399 35% => Sentences are similar to each other.
Paragraph topic coherence: 0.0584384878728 0.162205337803 36% => Maybe some paragraphs are off the topic.
Paragraph topic coherence SD: 0.0198925504683 0.0443174109184 45% => Paragraphs are similar to each other. Some content may get duplicated or it is not exactly right on the topic.
Essay readability:
automated_readability_index: 15.0 13.3589403974 112% => OK
flesch_reading_ease: 47.12 53.8541721854 87% => OK
smog_index: 8.8 5.55761589404 158% => OK
flesch_kincaid_grade: 12.7 11.0289183223 115% => OK
coleman_liau_index: 13.0 12.2367328918 106% => OK
dale_chall_readability_score: 9.52 8.42419426049 113% => OK
difficult_words: 72.0 63.6247240618 113% => OK
linsear_write_formula: 11.0 10.7273730684 103% => OK
gunning_fog: 11.6 10.498013245 110% => OK
text_standard: 13.0 11.2008830022 116% => OK
What are above readability scores?
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It is not exactly right on the topic in the view of e-grader. Maybe there is a wrong essay topic.
Rates: 3.33333333333 out of 100
Scores by essay e-grader: 1.0 Out of 30
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Note: the e-grader does NOT examine the meaning of words and ideas. VIP users will receive further evaluations by advanced module of e-grader and human graders.