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 met

The passage and the talk discuss the effectiveness of cloud seeding in preventing damage to crops caused by formation of hail. The author contends that cloud seeding is an effective technique to prevent hails formation. The lecturer, however, refutes the author's assessment. He demonstrates three reasons to cast doubt on the claims made in the reading

The First of allegation of script against which the orator argues is that cloud seeding is an effective approach to change hail to snow. In contrast,The lecturer highlights the fact that this process may result in the reduction of not only the hail, but also the rain and snow. He asserts that with cloud seeding crops die for other reason than hail, which is drought.

Second, according to the text, cloud seeding is effective to reduce hail formation in Asia. Though the speaker finds this idea debatable. He bolster his opinion by stating that the reduction of hail formation is possible in Asia using this technique because of air pollution. He asserts that the reagent used in cloud seeding interact with pollutant in the air and cause a reduction in hail formation. This technique is unlike to hold to be true in the US because of it's clean environment.

Finally the lecturer contradicts the fallacy of the passage that cloud seeding was the reason behind the reduction of crops damage in vast geographic areas in the US. He contends that the reduction in crop damage is not solely due to the reduction in hail formation, but there might be other natural factors which have contributed to this phenomena. For instance, it might be due to the reduction in the use of pesticides which also has a role to protect crops.

Votes
Average: 7.3 (1 vote)
Essay Categories

Grammar and spelling errors:
Line 1, column 221, Rule ID: ENGLISH_WORD_REPEAT_BEGINNING_RULE
Message: Three successive sentences begin with the same word. Reword the sentence or use a thesaurus to find a synonym.
...e technique to prevent hails formation. The lecturer, however, refutes the authors ...
^^^
Line 1, column 256, Rule ID: POSSESIVE_APOSTROPHE[2]
Message: Possible typo: apostrophe is missing. Did you mean 'authors'' or 'author's'?
Suggestion: authors'; author's
...ion. The lecturer, however, refutes the authors assessment. He demonstrates three reaso...
^^^^^^^
Line 3, column 149, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma
Suggestion: , The
...oach to change hail to snow. In contrast,The lecturer highlights the fact that this ...
^^^^
Line 5, column 93, Rule ID: SENTENCE_FRAGMENT[1]
Message: “Though” at the beginning of a sentence requires a 2nd clause. Maybe a comma, question or exclamation mark is missing, or the sentence is incomplete and should be joined with the following sentence.
...ctive to reduce hail formation in Asia. Though the speaker finds this idea debatable. ...
^^^^^^
Line 5, column 142, Rule ID: HE_VERB_AGR[1]
Message: The pronoun 'He' must be used with a third-person verb: 'bolsters'.
Suggestion: bolsters
...e speaker finds this idea debatable. He bolster his opinion by stating that the reducti...
^^^^^^^
Line 7, column 1, Rule ID: SENT_START_CONJUNCTIVE_LINKING_ADVERB_COMMA[1]
Message: Did you forget a comma after a conjunctive/linking adverb?
Suggestion: Finally,
...US because of its clean environment. Finally the lecturer contradicts the fallacy of...
^^^^^^^
Line 7, column 234, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...tion in crop damage is not solely due to the reduction in hail formation, but the...
^^
Line 7, column 336, Rule ID: THIS_NNS[1]
Message: Did you mean 'these'?
Suggestion: these
...tural factors which have contributed to this phenomena. For instance, it might be du...
^^^^

Transition Words or Phrases used:
also, but, finally, first, however, may, second, so, for instance, in contrast, first of all

Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments

Performance on Part of Speech:
To be verbs : 12.0 10.4613686534 115% => OK
Auxiliary verbs: 3.0 5.04856512141 59% => OK
Conjunction : 5.0 7.30242825607 68% => OK
Relative clauses : 12.0 12.0772626932 99% => OK
Pronoun: 23.0 22.412803532 103% => OK
Preposition: 46.0 30.3222958057 152% => OK
Nominalization: 18.0 5.01324503311 359% => Less nominalizations (nouns with a suffix like: tion ment ence ance) wanted.

Performance on vocabulary words:
No of characters: 1404.0 1373.03311258 102% => OK
No of words: 286.0 270.72406181 106% => OK
Chars per words: 4.90909090909 5.08290768461 97% => OK
Fourth root words length: 4.11236361783 4.04702891845 102% => OK
Word Length SD: 2.62307682986 2.5805825403 102% => OK
Unique words: 139.0 145.348785872 96% => OK
Unique words percentage: 0.486013986014 0.540411800872 90% => More unique words wanted or less content wanted.
syllable_count: 419.4 419.366225166 100% => OK
avg_syllables_per_word: 1.5 1.55342163355 97% => OK

A sentence (or a clause, phrase) starts by:
Pronoun: 7.0 3.25607064018 215% => Less pronouns wanted as sentence beginning.
Article: 5.0 8.23620309051 61% => OK
Subordination: 1.0 1.25165562914 80% => OK
Conjunction: 2.0 1.51434878587 132% => OK
Preposition: 2.0 2.5761589404 78% => OK

Performance on sentences:
How many sentences: 14.0 13.0662251656 107% => OK
Sentence length: 20.0 21.2450331126 94% => OK
Sentence length SD: 46.2151137042 49.2860985944 94% => OK
Chars per sentence: 100.285714286 110.228320801 91% => OK
Words per sentence: 20.4285714286 21.698381199 94% => OK
Discourse Markers: 6.57142857143 7.06452816374 93% => OK
Paragraphs: 4.0 4.09492273731 98% => OK
Language errors: 8.0 4.19205298013 191% => OK
Sentences with positive sentiment : 7.0 4.33554083885 161% => OK
Sentences with negative sentiment : 5.0 4.45695364238 112% => OK
Sentences with neutral sentiment: 2.0 4.27373068433 47% => OK
What are sentences with positive/Negative/neutral sentiment?

Coherence and Cohesion:
Essay topic to essay body coherence: 0.152700672623 0.272083759551 56% => OK
Sentence topic coherence: 0.0625660854021 0.0996497079465 63% => OK
Sentence topic coherence SD: 0.043891396114 0.0662205650399 66% => OK
Paragraph topic coherence: 0.106706553702 0.162205337803 66% => OK
Paragraph topic coherence SD: 0.042021308329 0.0443174109184 95% => OK

Essay readability:
automated_readability_index: 11.9 13.3589403974 89% => Automated_readability_index is low.
flesch_reading_ease: 59.64 53.8541721854 111% => OK
smog_index: 3.1 5.55761589404 56% => Smog_index is low.
flesch_kincaid_grade: 9.9 11.0289183223 90% => OK
coleman_liau_index: 11.2 12.2367328918 92% => OK
dale_chall_readability_score: 7.94 8.42419426049 94% => OK
difficult_words: 60.0 63.6247240618 94% => OK
linsear_write_formula: 10.5 10.7273730684 98% => OK
gunning_fog: 10.0 10.498013245 95% => OK
text_standard: 10.0 11.2008830022 89% => OK
What are above readability scores?

---------------------

Rates: 73.3333333333 out of 100
Scores by essay e-grader: 22.0 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.