In time of financial crisis, which of the following group of people should be firstly supported by the government.
-family with young children
-people who lost jobs recently
-retired people aged over 70
Different people hold different perspectives about who the government should support during an economic crisis. Some people maintain that aiding families with young children is better. Others believe that helping unemployed people is a more preferable method. Still, others claim that providing supports to retired people is better. As far as I am concerned, I believe that supporting the second group of people is the most ideal approach. My reasons are as follows.
Furthermore, the government must save money during the economic depression. Nevertheless, allocating too many budgets to young family members might make the government expend too much money. For example, the Kaohsiung City government decided to help families with young children get a decent education during the crisis. Nevertheless, lecturing a young student required a significant number of resources; the government allocated a billion dollars to hire elementary and preschool teachers, purchase suitable lands to establish new elementary schools, etc. Moreover, the city disbursed more than 4 billion dollars providing tuition to families. As a result, such policies caused a noticeable financial burden to the Kaohsiung City government. Contrarily, the Taichung City government offered assisted people who became unemployed in getting a decent job, and it only spent ten million dollars organizing several job fairs. In addition, the city only disbursed fifty million dollars to establish an employment website for job seekers to find a career. So evidently, governments usually won't waste too many resources battling the unemployment rate.
To begin with, the government should try its best to restore the economy during an economic crisis, and helping people who lost their jobs recently find a job can boost the economy. Take the Taipei City government as an example. A year ago, the government established three job fairs for young people to find a job during the Covid-19 outbreak. After such an event is held, approximately 60% of unemployed people found a suitable job, such as restaurant waiters and factory workers, to sustain their lives, leading to the unemployment rate in Taipei City decreasing from 7% to only 2%. As a result, Taipei City's economy started functioning again thanks to the increasing number of people working in restaurants and manufacturing. On the other hand, the Hualien County government supported old retired people by supplying old age allowances and elderly subsidies during the crisis. Unfortunately, these retired people were too old to be capable of working, so such a policy did not help Hualien City Improve its unemployment rate and revive its worsening economy.
In conclusion, I maintain that governments should offer adequant supports to people who lost their job due to the aforementioned reasons. After all, government should save money and help revive the economy during a recession.
- Do you agree or disagree with the following statement Students can learn as much by watching films as they learn by reading books 76
- Do you agree or disagree with the following statement Universities should give the same amount of money to their students sports activities as they give to their university libraries Use specific reasons and examples to support your opinion 76
- If you were given a short period of time to learn something what would you choose 1 learn to play a new sport you never played 2 learn to cook food in a different way 3 learn to do some hand made work like clothes 70
- It s much easier to achieve success with help from one s family than what is like before 83
- Do you agree or disagree with the following statement Universities should give the same amount of money to their students sports activities as they give to their university libraries Use specific reasons and examples to support your opinion 73
Transition Words or Phrases used:
furthermore, if, moreover, nevertheless, second, so, still, after all, for example, in addition, in conclusion, such as, as a result, to begin with, on the other hand
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 8.0 15.1003584229 53% => More to be verbs wanted.
Auxiliary verbs: 7.0 9.8082437276 71% => OK
Conjunction : 8.0 13.8261648746 58% => More conjunction wanted.
Relative clauses : 9.0 11.0286738351 82% => OK
Pronoun: 17.0 43.0788530466 39% => OK
Preposition: 45.0 52.1666666667 86% => OK
Nominalization: 19.0 8.0752688172 235% => Less nominalizations (nouns with a suffix like: tion ment ence ance) wanted.
Performance on vocabulary words:
No of characters: 2467.0 1977.66487455 125% => OK
No of words: 450.0 407.700716846 110% => OK
Chars per words: 5.48222222222 4.8611393121 113% => OK
Fourth root words length: 4.6057793516 4.48103885553 103% => OK
Word Length SD: 2.91029759625 2.67179642975 109% => OK
Unique words: 234.0 212.727598566 110% => OK
Unique words percentage: 0.52 0.524837075471 99% => OK
syllable_count: 757.8 618.680645161 122% => OK
avg_syllables_per_word: 1.7 1.51630824373 112% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 4.0 9.59856630824 42% => OK
Article: 10.0 3.08781362007 324% => Less articles wanted as sentence beginning.
Subordination: 5.0 3.51792114695 142% => OK
Conjunction: 2.0 1.86738351254 107% => OK
Preposition: 7.0 4.94265232975 142% => OK
Performance on sentences:
How many sentences: 24.0 20.6003584229 117% => OK
Sentence length: 18.0 20.1344086022 89% => OK
Sentence length SD: 52.8862609495 48.9658058833 108% => OK
Chars per sentence: 102.791666667 100.406767564 102% => OK
Words per sentence: 18.75 20.6045352989 91% => OK
Discourse Markers: 6.91666666667 5.45110844103 127% => OK
Paragraphs: 4.0 4.53405017921 88% => OK
Language errors: 0.0 5.5376344086 0% => OK
Sentences with positive sentiment : 10.0 11.8709677419 84% => OK
Sentences with negative sentiment : 7.0 3.85842293907 181% => OK
Sentences with neutral sentiment: 7.0 4.88709677419 143% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.366385958268 0.236089414692 155% => OK
Sentence topic coherence: 0.109581385317 0.076458572812 143% => OK
Sentence topic coherence SD: 0.0832831667803 0.0737576698707 113% => OK
Paragraph topic coherence: 0.252949963585 0.150856017488 168% => OK
Paragraph topic coherence SD: 0.0744561781386 0.0645574589148 115% => OK
Essay readability:
automated_readability_index: 13.8 11.7677419355 117% => OK
flesch_reading_ease: 44.75 58.1214874552 77% => OK
smog_index: 8.8 6.10430107527 144% => OK
flesch_kincaid_grade: 11.5 10.1575268817 113% => OK
coleman_liau_index: 14.5 10.9000537634 133% => OK
dale_chall_readability_score: 8.92 8.01818996416 111% => OK
difficult_words: 125.0 86.8835125448 144% => OK
linsear_write_formula: 6.0 10.002688172 60% => Linsear_write_formula is low.
gunning_fog: 9.2 10.0537634409 92% => OK
text_standard: 9.0 10.247311828 88% => OK
What are above readability scores?
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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: 83.3333333333 out of 100
Scores by essay e-grader: 25.0 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.