The council of Maple County, concerned about the county's becoming overdeveloped, is debating a proposed measure that would prevent the development of existing farmland in the county. But the council is also concerned that such a restriction, by limiting

The Maple county council prediction, that the proposed measure of restricting county's farmland for building new housing will result to significant increase of housing price, is dependent on three assumptions which are lacking sound evidences - firstly, the county has used all of its possible vertical elevation and no further development can be done; secondly, Between Chestnut county and Pine county: The Pine county's results are likely to be true for Maple; and thirdly, the overall incoming rate of people is going to be maintained or surpassed in upcoming years.

The first required evidence from county is whether the county has consumed all of its vertical limits of existing buildings. If this evidence found to be false then the whole debate over proposed measure is unwarranted. The most blatant example for this case is Mumbai, India. Mumbai is spread over wide area of 80km(the outer area used to be farmlands). However the city council instead of building vertical houses, chose to take up the empty lands and built more housing projects, the project helped middle class and lower middle class to settle in these areas, however, all upper-class kept pressing the council to build or allow building of new housing societies in commerce areas which resulted into today's large edifice building across marine lines. Which are not only beyond rich of common people but only super rich can afford to live in those facilities. Hence the council decision of restricting or allowing the farmlands to be used as housing projects may have no effect at all- over the pricing of housing in Maple, specifically, those areas which are in public demand.

Secondly, The county council asserts that the circumstances of Maple county is similar to Pine county, nonetheless, the council has not provided any statistical data backing such assertion. Why council thinks that they are unlikely to see the results similar to Chestnut county? Also had county considered the differences between both abovementioned counties; whether they exhibit different approach to handle overall development. It is quite possible that Chestnut county while restricting the further development on farmland, might have asked the businesses to spread out across the city which has deterred the price boom of any specific part of the county, therefore, until further evidence are provided for such assumptions, the city council prediction appears to be unreasonable.

Thirdly, The council has not provided any figure to back up their assumption, that, why county is expecting more people? or how many people it has seen settling in county on yearly basis; to predict the future population of the county. Also what kind of businesses are running in the county? do they need more people to expand, or are they saturated? A very specific example for this case is Amazon head quarter Seattle, USA. The internet business of Amazon is ever expanding, and it needs more and more people to develop ever changing technology at pace so that Amazon has an upper hand in internet business market. In such kind of businesses, it is expected that more people will be arriving in the county, hence to evaluate further; the council must collect further such evidence to backup their hypothetical claims.

Finally, it can be said that, in the absence of abovementioned evidence; the prediction and the arguments of Maple county seems unreasonable. The Maple county must scrutinize their arguments, evidences further at their disposal and then predict or reach to any sound conclusion.

Votes
Average: 6.6 (1 vote)
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Grammar and spelling errors:
Line 3, column 126, Rule ID: SENTENCE_FRAGMENT[1]
Message: “If” 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.
... vertical limits of existing buildings. If this evidence found to be false then th...
^^
Line 3, column 354, Rule ID: SENT_START_CONJUNCTIVE_LINKING_ADVERB_COMMA[1]
Message: Did you forget a comma after a conjunctive/linking adverb?
Suggestion: However,
...0kmthe outer area used to be farmlands. However the city council instead of building ve...
^^^^^^^
Line 3, column 863, Rule ID: SENT_START_CONJUNCTIVE_LINKING_ADVERB_COMMA[1]
Message: Did you forget a comma after a conjunctive/linking adverb?
Suggestion: Hence,
...can afford to live in those facilities. Hence the council decision of restricting or ...
^^^^^
Line 5, column 280, Rule ID: SENT_START_CONJUNCTIVE_LINKING_ADVERB_COMMA[1]
Message: Did you forget a comma after a conjunctive/linking adverb?
Suggestion: Also,
...the results similar to Chestnut county? Also had county considered the differences b...
^^^^
Line 7, column 122, Rule ID: UPPERCASE_SENTENCE_START
Message: This sentence does not start with an uppercase letter
Suggestion: Or
...t, why county is expecting more people? or how many people it has seen settling in...
^^
Line 7, column 237, Rule ID: SENT_START_CONJUNCTIVE_LINKING_ADVERB_COMMA[1]
Message: Did you forget a comma after a conjunctive/linking adverb?
Suggestion: Also,
...ct the future population of the county. Also what kind of businesses are running in ...
^^^^
Line 7, column 293, Rule ID: UPPERCASE_SENTENCE_START
Message: This sentence does not start with an uppercase letter
Suggestion: Do
...f businesses are running in the county? do they need more people to expand, or are...
^^
Line 7, column 784, Rule ID: CAN_BACKUP[1]
Message: Did you mean 'to back up'?
Suggestion: to back up
...ncil must collect further such evidence to backup their hypothetical claims. Finally, ...
^^^^^^^^^

Transition Words or Phrases used:
also, but, finally, first, firstly, hence, however, if, may, nonetheless, second, secondly, so, then, therefore, third, thirdly, while, kind of, such as

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

Performance on Part of Speech:
To be verbs : 29.0 19.6327345309 148% => OK
Auxiliary verbs: 10.0 12.9520958084 77% => OK
Conjunction : 16.0 11.1786427146 143% => OK
Relative clauses : 12.0 13.6137724551 88% => OK
Pronoun: 28.0 28.8173652695 97% => OK
Preposition: 76.0 55.5748502994 137% => OK
Nominalization: 16.0 16.3942115768 98% => OK

Performance on vocabulary words:
No of characters: 2976.0 2260.96107784 132% => OK
No of words: 571.0 441.139720559 129% => OK
Chars per words: 5.2119089317 5.12650576532 102% => OK
Fourth root words length: 4.88831323574 4.56307096286 107% => OK
Word Length SD: 2.67418292943 2.78398813304 96% => OK
Unique words: 279.0 204.123752495 137% => OK
Unique words percentage: 0.488616462347 0.468620217663 104% => OK
syllable_count: 934.2 705.55239521 132% => OK
avg_syllables_per_word: 1.6 1.59920159681 100% => OK

A sentence (or a clause, phrase) starts by:
Pronoun: 5.0 4.96107784431 101% => OK
Article: 15.0 8.76447105788 171% => OK
Subordination: 2.0 2.70958083832 74% => OK
Conjunction: 4.0 1.67365269461 239% => Less conjunction wanted as sentence beginning.
Preposition: 5.0 4.22255489022 118% => OK

Performance on sentences:
How many sentences: 21.0 19.7664670659 106% => OK
Sentence length: 27.0 22.8473053892 118% => OK
Sentence length SD: 125.624390659 57.8364921388 217% => The lengths of sentences changed so frequently.
Chars per sentence: 141.714285714 119.503703932 119% => OK
Words per sentence: 27.1904761905 23.324526521 117% => OK
Discourse Markers: 7.2380952381 5.70786347227 127% => OK
Paragraphs: 5.0 5.15768463074 97% => OK
Language errors: 8.0 5.25449101796 152% => OK
Sentences with positive sentiment : 6.0 8.20758483034 73% => OK
Sentences with negative sentiment : 5.0 6.88822355289 73% => OK
Sentences with neutral sentiment: 10.0 4.67664670659 214% => Less facts, knowledge or examples wanted.
What are sentences with positive/Negative/neutral sentiment?

Coherence and Cohesion:
Essay topic to essay body coherence: 0.228893347002 0.218282227539 105% => OK
Sentence topic coherence: 0.0692138910791 0.0743258471296 93% => OK
Sentence topic coherence SD: 0.0607956854258 0.0701772020484 87% => OK
Paragraph topic coherence: 0.134222833142 0.128457276422 104% => OK
Paragraph topic coherence SD: 0.0576963429167 0.0628817314937 92% => OK

Essay readability:
automated_readability_index: 16.7 14.3799401198 116% => OK
flesch_reading_ease: 44.07 48.3550499002 91% => OK
smog_index: 8.8 7.1628742515 123% => OK
flesch_kincaid_grade: 13.8 12.197005988 113% => OK
coleman_liau_index: 13.23 12.5979740519 105% => OK
dale_chall_readability_score: 9.07 8.32208582834 109% => OK
difficult_words: 148.0 98.500998004 150% => OK
linsear_write_formula: 27.5 12.3882235529 222% => Linsear_write_formula is high.
gunning_fog: 12.8 11.1389221557 115% => OK
text_standard: 14.0 11.9071856287 118% => OK
What are above readability scores?

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Rates: 66.67 out of 100
Scores by essay e-grader: 4.0 Out of 6
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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.