People who make decisions based on emotion and justify those decisions with logic afterwards are poor decision makers.
In the prompt, the issue putforth an idea of decision makers who make decision based on there emotions and later clarity those decisions with logic. The prompt considers this type of people poor decision makers. The prompt can be analyzed under multiple scenarios, some might go with the prompt while others won't.
First of all, the reason people take decision in a task or an event is total because to come with a conclusion on that event, task or problem. Decisions that involve emotions, will always be biased in some or other point. As the human brain is design in such a way that if we human tend to make emotional connect with something, be will definielty be wrong in most of the case and after sometime we might even try to cover up the decision using a new scenation. Let us understand this by considering an example, in an development team Alex and Bob we working on same code base. Alex is an senior software developer while Bob has just a year of experience. The developed code was release for production development, at this movement due to improper development done by Alex, the production website is down and not responding. At this movement the project manager Tina gets involved who has no idea that the mistake was done by Alex. Tina makes an decision based on her emotions that Alex been a senior developer won't make such mistake and falsly considers Bob in fault. If she would have made the decisions by understanding the code commit, she would have understood that the mistake was made by Alex and not bob. In this case the poor decision was made by Tina.
Furthermore, the people who thing about the reason for the problem are not good at problem solving, they falsly consider the problem to be right just based on there emotions, whenever an emotion is involved, there are high change decision is going to be wrong. In a study conducted by top research institutes, it has always be identified people tend to make wrong decision based on there emotions, the same emotions that they are good with, and later when the emotions suprese and they identify there mistake they try to justify and clarify this mistake. This type of behaviour is considered as a poor decision.
In conclusion, I totally agree with the issue prompt, that people who make decisions based on emotion and justify those decisions with logic afterwards are poor decision makers. In fact there are mutiple facts that we have considered in the above decision.
Grammar and spelling errors:
Line 2, column 516, Rule ID: EN_A_VS_AN
Message: Use 'a' instead of 'an' if the following word doesn't start with a vowel sound, e.g. 'a sentence', 'a university'
Suggestion: a
...tand this by considering an example, in an development team Alex and Bob we workin...
^^
Line 2, column 587, Rule ID: EN_A_VS_AN
Message: Use 'a' instead of 'an' if the following word doesn't start with a vowel sound, e.g. 'a sentence', 'a university'
Suggestion: a
...b we working on same code base. Alex is an senior software developer while Bob has...
^^
Line 2, column 945, Rule ID: EN_A_VS_AN
Message: Use 'a' instead of 'an' if the following word doesn't start with a vowel sound, e.g. 'a sentence', 'a university'
Suggestion: a
...he mistake was done by Alex. Tina makes an decision based on her emotions that Ale...
^^
Line 2, column 1078, Rule ID: IF_WOULD_HAVE_VBN[1]
Message: Did you mean 'had made'?
Suggestion: had made
...d falsly considers Bob in fault. If she would have made the decisions by understanding the code...
^^^^^^^^^^^^^^^
Line 3, column 25, Rule ID: WHO_NOUN[1]
Message: A noun should not follow "who". Try changing to a verb or maybe to 'who is a thing'.
Suggestion: who is a thing
... made by Tina. Furthermore, the people who thing about the reason for the problem are no...
^^^^^^^^^
Line 3, column 324, Rule ID: HAVE_PART_AGREEMENT[2]
Message: Possible agreement error -- use past participle here: 'been'.
Suggestion: been
... top research institutes, it has always be identified people tend to make wrong de...
^^
Line 3, column 528, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...entify there mistake they try to justify and clarify this mistake. This type of b...
^^
Transition Words or Phrases used:
first, furthermore, if, so, while, in conclusion, in fact, first of all
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 24.0 19.5258426966 123% => OK
Auxiliary verbs: 7.0 12.4196629213 56% => OK
Conjunction : 13.0 14.8657303371 87% => OK
Relative clauses : 14.0 11.3162921348 124% => OK
Pronoun: 32.0 33.0505617978 97% => OK
Preposition: 57.0 58.6224719101 97% => OK
Nominalization: 11.0 12.9106741573 85% => OK
Performance on vocabulary words:
No of characters: 2023.0 2235.4752809 90% => OK
No of words: 428.0 442.535393258 97% => OK
Chars per words: 4.72663551402 5.05705443957 93% => OK
Fourth root words length: 4.548423998 4.55969084622 100% => OK
Word Length SD: 2.49375475506 2.79657885939 89% => OK
Unique words: 195.0 215.323595506 91% => More unique words wanted.
Unique words percentage: 0.455607476636 0.4932671777 92% => More unique words wanted or less content wanted.
syllable_count: 659.7 704.065955056 94% => OK
avg_syllables_per_word: 1.5 1.59117977528 94% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 6.0 6.24550561798 96% => OK
Article: 8.0 4.99550561798 160% => OK
Subordination: 3.0 3.10617977528 97% => OK
Conjunction: 1.0 1.77640449438 56% => OK
Preposition: 8.0 4.38483146067 182% => OK
Performance on sentences:
How many sentences: 18.0 20.2370786517 89% => OK
Sentence length: 23.0 23.0359550562 100% => OK
Sentence length SD: 69.2241840278 60.3974514979 115% => OK
Chars per sentence: 112.388888889 118.986275619 94% => OK
Words per sentence: 23.7777777778 23.4991977007 101% => OK
Discourse Markers: 3.94444444444 5.21951772744 76% => OK
Paragraphs: 4.0 4.97078651685 80% => OK
Language errors: 7.0 7.80617977528 90% => OK
Sentences with positive sentiment : 1.0 10.2758426966 10% => More positive sentences wanted.
Sentences with negative sentiment : 12.0 5.13820224719 234% => Less negative sentences wanted.
Sentences with neutral sentiment: 5.0 4.83258426966 103% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.4780291094 0.243740707755 196% => OK
Sentence topic coherence: 0.168123300445 0.0831039109588 202% => Sentence topic similarity is high.
Sentence topic coherence SD: 0.201751121304 0.0758088955206 266% => The coherence between sentences is low.
Paragraph topic coherence: 0.387745654475 0.150359130593 258% => Maybe some contents are duplicated.
Paragraph topic coherence SD: 0.158401357836 0.0667264976115 237% => More connections among paragraphs wanted.
Essay readability:
automated_readability_index: 12.7 14.1392134831 90% => Automated_readability_index is low.
flesch_reading_ease: 56.59 48.8420337079 116% => OK
smog_index: 3.1 7.92365168539 39% => Smog_index is low.
flesch_kincaid_grade: 11.1 12.1743820225 91% => OK
coleman_liau_index: 10.45 12.1639044944 86% => OK
dale_chall_readability_score: 7.77 8.38706741573 93% => OK
difficult_words: 81.0 100.480337079 81% => More difficult words wanted.
linsear_write_formula: 7.5 11.8971910112 63% => OK
gunning_fog: 11.2 11.2143820225 100% => OK
text_standard: 8.0 11.7820224719 68% => The average readability is low. Need to imporve the language.
What are above readability scores?
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Better to have 5/6 paragraphs with 3/4 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: reason 4. address both of the views presented for reason 4 (optional)
para 6: conclusion.
Rates: 50.0 out of 100
Scores by essay e-grader: 3.0 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.