life on venus how it will be possible
The article and lecture both deal with human life at different plant. Whilst the author of the article thinks this any human’s life will be impossible on Venus for three specific reasons, the lecturer opposes the author’s claim. In his opinion, he said that Venus can be capable of containing human.
First, the writer claims this the pressure on Venus surface is greater than the pressure on earth by 90 times; therefore, these are deadly force for any human will be exist over there so do for any machine. Furthermore, it stated in the article that all spacecraft that had landed on Venus surface, it crashed after landing by one hour. In contrast, the lecture argues that there is a solution for the high pressure. Space station could be built in the sky of Venus by 50 km above the surface. Additionally, the pressure at this height equals the pressure on Earth’s surface.
Second, the author mentions there is not any water on that plant’s surface. On top of that, he adds that water delivery from Earth will be impractical way to keep human on Venus as a permeant stay. However, the lecturer calls this argument into a question by saying that the station can get the water from the atmosphere of Venus because of containing of the elements like nitrogen, carbon and sulfuric acid. Further, he remarks that as the solution for that problem.
Finally, the writer asserts that the thick clouds reduce the sun light that reaches the surface by reflection. In addition to that, in the article it is mentioned that it is going to affect the solar power by preventing using any kind of electricity machine. As opposed to the author, the lecturer holds that as the station will be above the surface by 50 km. it will be above thick clouds. Consequently, the station has the power that it is need it by direct solar light or cloud light reflection. He highlights that permeant human life on Venus could be possible.
Transition Words or Phrases used:
consequently, finally, first, furthermore, however, if, second, so, therefore, in addition, in contrast, kind of, on top of that
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 15.0 15.1003584229 99% => OK
Auxiliary verbs: 10.0 9.8082437276 102% => OK
Conjunction : 3.0 13.8261648746 22% => More conjunction wanted.
Relative clauses : 17.0 11.0286738351 154% => OK
Pronoun: 34.0 43.0788530466 79% => OK
Preposition: 45.0 52.1666666667 86% => OK
Nominalization: 11.0 8.0752688172 136% => OK
Performance on vocabulary words:
No of characters: 1596.0 1977.66487455 81% => OK
No of words: 336.0 407.700716846 82% => More content wanted.
Chars per words: 4.75 4.8611393121 98% => OK
Fourth root words length: 4.28139028586 4.48103885553 96% => OK
Word Length SD: 2.47572540275 2.67179642975 93% => OK
Unique words: 164.0 212.727598566 77% => More unique words wanted.
Unique words percentage: 0.488095238095 0.524837075471 93% => More unique words wanted or less content wanted.
syllable_count: 486.9 618.680645161 79% => OK
avg_syllables_per_word: 1.4 1.51630824373 92% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 8.0 9.59856630824 83% => OK
Article: 10.0 3.08781362007 324% => Less articles wanted as sentence beginning.
Subordination: 1.0 3.51792114695 28% => OK
Conjunction: 0.0 1.86738351254 0% => OK
Preposition: 5.0 4.94265232975 101% => OK
Performance on sentences:
How many sentences: 18.0 20.6003584229 87% => OK
Sentence length: 18.0 20.1344086022 89% => OK
Sentence length SD: 48.1781672801 48.9658058833 98% => OK
Chars per sentence: 88.6666666667 100.406767564 88% => OK
Words per sentence: 18.6666666667 20.6045352989 91% => OK
Discourse Markers: 7.11111111111 5.45110844103 130% => OK
Paragraphs: 4.0 4.53405017921 88% => OK
Language errors: 0.0 5.5376344086 0% => OK
Sentences with positive sentiment : 3.0 11.8709677419 25% => More positive sentences wanted.
Sentences with negative sentiment : 6.0 3.85842293907 156% => OK
Sentences with neutral sentiment: 9.0 4.88709677419 184% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.263303661153 0.236089414692 112% => OK
Sentence topic coherence: 0.0901864363845 0.076458572812 118% => OK
Sentence topic coherence SD: 0.0897404337172 0.0737576698707 122% => OK
Paragraph topic coherence: 0.175494359508 0.150856017488 116% => OK
Paragraph topic coherence SD: 0.04874050743 0.0645574589148 75% => OK
Essay readability:
automated_readability_index: 10.3 11.7677419355 88% => Automated_readability_index is low.
flesch_reading_ease: 70.13 58.1214874552 121% => OK
smog_index: 3.1 6.10430107527 51% => Smog_index is low.
flesch_kincaid_grade: 7.9 10.1575268817 78% => OK
coleman_liau_index: 10.27 10.9000537634 94% => OK
dale_chall_readability_score: 7.72 8.01818996416 96% => OK
difficult_words: 68.0 86.8835125448 78% => More difficult words wanted.
linsear_write_formula: 9.0 10.002688172 90% => OK
gunning_fog: 9.2 10.0537634409 92% => OK
text_standard: 8.0 10.247311828 78% => 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.