In the reading passage, three kinds of damages of “let it burn” policy is discussed by investigating the outcomes of Yellowstone. On the other hand, in the lecture, the lecturer tries to shows how three arguments made in the reading passage are actually not true.
First of all, in the reading passage it is written that the Yellowstone fires damaged to the park’s trees and vegetation a lot. The lecturer opposes this idea and says that a lot of new vegetation emerged in the forest after the fires. These vegetations were some new species that were not seen before at that place and could grow up with the head emerged after fire. Thus, the bio diversity of the park increased on the contrary to passage.
Secondly, in the passage, it is argued that park’s wildlife affected negatively from fires. Hovewer, in the lecture, it is said that a lot of new small animals (like rabits) emerged in the park, as a consecuence of emerging small vegetation. These animals consume these small vegetation which emerged after the fires. By this development, some other animals which are predators of these new emerged small animals come to the park also.
Last point, in the passage it is argued that fires decrease the value of park as a tourist attraction. On the contrary, in the lecture the speaker explains how the fires was uniqe for that year and in the following years the conditions for such a big fire didn’t emerged and such big fires didn’t emerged again. Thus, in following years the park contious to be an important tourist attaction place and local business contious to benefit from park’s touristic potential.
- Do you agree or disagree with the following statement Most advertisements make products seem much better then they really are Use specific reasons and examples to support your answer 60
- Do you agree or disagree with the following statement Students are more influenced by their teachers than by their friends 60
- In the past century the steady growth of the human population and the corresponding increase in agriculture and pesticide use have caused much harm to wildlife in the United States birds in particular Unfortunately for birds these trends are likely to 73
- In the United States it had been common practice since the late 1980s not to suppress natural forest fires The quot let it burn quot policy assumed that forest fires would burn themselves out quickly without causing much damage However in the summe 60
- In the United States it had been common practice since the late 1980s not to suppress natural forest fires The quot let it burn quot policy assumed that forest fires would burn themselves out quickly without causing much damage However in the summe 60
Grammar and spelling errors:
Line 1, column 188, Rule ID: TO_NON_BASE[1]
Message: The verb after "to" should be in the base form: 'show'.
Suggestion: show
..., in the lecture, the lecturer tries to shows how three arguments made in the reading...
^^^^^
Line 5, column 429, Rule ID: ALSO_SENT_END[1]
Message: 'Also' is not used at the end of the sentence. Use 'as well' instead.
Suggestion: as well
... emerged small animals come to the park also. Last point, in the passage it is ar...
^^^^
Line 7, column 264, Rule ID: DID_BASEFORM[4]
Message: The verb 'didn't' requires base form of this verb: 'emerge'
Suggestion: emerge
...e conditions for such a big fire didn’t emerged and such big fires didn’t emerged again...
^^^^^^^
Line 7, column 298, Rule ID: DID_BASEFORM[4]
Message: The verb 'didn't' requires base form of this verb: 'emerge'
Suggestion: emerge
...idn’t emerged and such big fires didn’t emerged again. Thus, in following years the par...
^^^^^^^
Transition Words or Phrases used:
actually, also, first, if, second, secondly, so, thus, first of all, on the contrary, on the other hand
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 11.0 15.1003584229 73% => OK
Auxiliary verbs: 1.0 9.8082437276 10% => OK
Conjunction : 6.0 13.8261648746 43% => More conjunction wanted.
Relative clauses : 10.0 11.0286738351 91% => OK
Pronoun: 19.0 43.0788530466 44% => OK
Preposition: 43.0 52.1666666667 82% => OK
Nominalization: 8.0 8.0752688172 99% => OK
Performance on vocabulary words:
No of characters: 1360.0 1977.66487455 69% => OK
No of words: 278.0 407.700716846 68% => More content wanted.
Chars per words: 4.89208633094 4.8611393121 101% => OK
Fourth root words length: 4.08329915638 4.48103885553 91% => OK
Word Length SD: 2.55235535968 2.67179642975 96% => OK
Unique words: 134.0 212.727598566 63% => More unique words wanted.
Unique words percentage: 0.482014388489 0.524837075471 92% => More unique words wanted or less content wanted.
syllable_count: 423.9 618.680645161 69% => OK
avg_syllables_per_word: 1.5 1.51630824373 99% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 4.0 9.59856630824 42% => OK
Article: 3.0 3.08781362007 97% => OK
Subordination: 1.0 3.51792114695 28% => OK
Conjunction: 0.0 1.86738351254 0% => OK
Preposition: 11.0 4.94265232975 223% => Less preposition wanted as sentence beginnings.
Performance on sentences:
How many sentences: 13.0 20.6003584229 63% => 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: 21.0 20.1344086022 104% => OK
Sentence length SD: 35.646688353 48.9658058833 73% => OK
Chars per sentence: 104.615384615 100.406767564 104% => OK
Words per sentence: 21.3846153846 20.6045352989 104% => OK
Discourse Markers: 7.92307692308 5.45110844103 145% => OK
Paragraphs: 4.0 4.53405017921 88% => OK
Language errors: 4.0 5.5376344086 72% => OK
Sentences with positive sentiment : 4.0 11.8709677419 34% => More positive sentences wanted.
Sentences with negative sentiment : 6.0 3.85842293907 156% => OK
Sentences with neutral sentiment: 3.0 4.88709677419 61% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.0834839110642 0.236089414692 35% => The similarity between the topic and the content is low.
Sentence topic coherence: 0.0326304163488 0.076458572812 43% => OK
Sentence topic coherence SD: 0.0411513454063 0.0737576698707 56% => OK
Paragraph topic coherence: 0.0552177545101 0.150856017488 37% => Maybe some paragraphs are off the topic.
Paragraph topic coherence SD: 0.0320780194396 0.0645574589148 50% => 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: 12.3 11.7677419355 105% => OK
flesch_reading_ease: 58.62 58.1214874552 101% => OK
smog_index: 3.1 6.10430107527 51% => Smog_index is low.
flesch_kincaid_grade: 10.3 10.1575268817 101% => OK
coleman_liau_index: 11.08 10.9000537634 102% => OK
dale_chall_readability_score: 7.8 8.01818996416 97% => OK
difficult_words: 55.0 86.8835125448 63% => More difficult words wanted.
linsear_write_formula: 11.0 10.002688172 110% => OK
gunning_fog: 10.4 10.0537634409 103% => OK
text_standard: 11.0 10.247311828 107% => OK
What are above readability scores?
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We are expecting: No. of Words: 350 while No. of Different Words: 200
Better to have 5 paragraphs with 3 arguments. And try always support/against one side but compare two sides, like this:
para 1: introduction
para 2: reason 1. address both of the views presented for reason 1
para 3: reason 2. address both of the views presented for reason 2
para 4: reason 3. address both of the views presented for reason 3
para 5: conclusion.
So how to find out those reasons. There is a formula:
reasons == advantages or
reasons == disadvantages
for example, we can always apply 'save time', 'save/make money', 'find a job', 'make friends', 'get more information' as reasons to all essay/speaking topics.
or we can apply 'waste time', 'waste money', 'no job', 'make bad friends', 'get bad information' as reasons to all essay/speaking topics.
Rates: 60.0 out of 100
Scores by essay e-grader: 18.0 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.