“It is grave mistake to theorize before one has data”
Data is the new oil of the world. One can have data with having information, but cannot have information without having data. It is evident that information is a processed data on which decision-making is based on. The prompt posit that it is a serious mistake to theorize before one has data. I strongly agree with this suggestion and I will argue that one has to have data, process it to obtain information, before making any decision.
First of all, data is germane and indispensable material that most organization need before taking any decision or action. For instance in the field of marketing, retailing and food vending , before a manager decides to operate in a giving region or location , it is prudent obtain data on the demographic (social status, financial status, religious affiliations, age distribution and sex) of that region and also the market trend(taking into consideration demand and supply of products) of that region. A company that do not take these factors into consideration before starting up a retail business in a particular location will inevitably fail at the end. For example operating restaurant that do not serve Halal food in predominantly muslim populated region is likely to run at loss due to low patronage from customers. But if this company have had data on the demographic of the potential customers they would haave probably considered adding halal food to their menu. From the above instances its patent that it’s a capital mistake to theorize before having data.
Second of all, in the field of governance of a country ,data is one the relevant factors that help governments in their planning and decision making. It is conspicuous that most developed countries realized the urgency to have data on a project before executing it. This is why most developed nations have a well-resourced national statistical organizations whose sole purpose is to collect demographic information on it citizens. For instance in the case of china, before implementing its one child per couple policy it had data on the age distribution , sex distribution and fertility rate of it citizens which made them project that they might have issue with overpopulation in years to come. However after 2015 , the government realized that its countries fertility rate was low, high aged population with few young people which resulted from tsunamis and major disease outbreaks. This led to the abolition of the one child policy , allowing couples to have two children. From the above instances it cogent that indeed data is a must have, before any decision is taking.
Thirdly, in many major fields of studies such astronomy, economics and oil exploration data is the lifeline on which most studies depends (oxygen support system). In the field of oil exploration seismic reflection survey, magnetic surveys have to conducted over a period of time to help geophysicist gather data on the location of the hydrocarbon and determine whether its exploration will economically viable. Without this processed data it is imprudent to conduct such a cost intensive project. In addition before governments also needs data to implement its economic policies, for a government to increase it tax collection base , data is needed of the number of actively employed citizens, their range of take home salaries and those who are privately employed. It is patent that without these data most government won’t be able to accurately implement its economic policies, and if it goes ahead to implement its tax policies with now data to back it might inadvertently hurt business and citizen who are low income earners. This might also lead to unrest in the country, like that of the protest of the yellow vest movement in France (2018) a protest movement for economic justice on taxes on their wealth. This led to almost 4000 people (both police and the protestors) sustaining injuries. From the above instances, it’s clear that it’s a grave blunder to theorize before data.
One may argue that some people do take decisions based on their instinct without data ,which turns out to work for them. However, such instances are few in this modern and complex world where every decision we make is based on data. Also due to the inherent risk in every decision we make, which is unavoidable, but can be mitigated through the reliance on data for decision-making. Hence, it will be a serious and deadly mistake to theorize without data,
| Post date | Users | Rates | Link to Content |
|---|---|---|---|
| 2020-08-05 | afeezbadmus767@ | 66 | view |
- The following is part of a memorandum from the president of Humana University Last year the number of students who enrolled in online degree programs offered by nearby Omni University increased by 50 percent During the same year Omni showed a significant 66
- The following is part of a memorandum from the president of Humana University Last year the number of students who enrolled in online degree programs offered by nearby Omni University increased by 50 percent During the same year Omni showed a significant 68
- It is grave mistake to theorize before one has data 66
- Claim Any piece of information referred to as a fact should be mistrusted since it may well be proven false in the future Reason Much of the information that people assume is factual actually turns out to be inaccurate Write a response in which you discus 50
- Governments should place few if any restrictions on scientific research and development Write a response in which you discuss the extent to which you agree or disagree with the recommendation and explain your reasoning for the position you take In develop 66
Grammar and spelling errors:
Line 2, column 62, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
... germane and indispensable material that most organization need before taking any...
^^
Line 2, column 190, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma, but not before the comma
Suggestion: ,
...of marketing, retailing and food vending , before a manager decides to operate in ...
^^
Line 2, column 259, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma, but not before the comma
Suggestion: ,
...o operate in a giving region or location , it is prudent obtain data on the demog...
^^
Line 2, column 275, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...iving region or location , it is prudent obtain data on the demographic social st...
^^
Line 3, column 55, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma, but not before the comma
Suggestion: ,
... in the field of governance of a country ,data is one the relevant factors that he...
^^
Line 3, column 322, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
... developed nations have a well-resourced national statistical organizations whose...
^^
Line 3, column 554, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma, but not before the comma
Suggestion: ,
...licy it had data on the age distribution , sex distribution and fertility rate of...
^^
Line 3, column 577, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
... age distribution , sex distribution and fertility rate of it citizens which made...
^^
Line 3, column 698, Rule ID: SENT_START_CONJUNCTIVE_LINKING_ADVERB_COMMA[1]
Message: Did you forget a comma after a conjunctive/linking adverb?
Suggestion: However,
...e with overpopulation in years to come. However after 2015 , the government realized th...
^^^^^^^
Line 3, column 716, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma, but not before the comma
Suggestion: ,
...ion in years to come. However after 2015 , the government realized that its countr...
^^
Line 3, column 936, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma, but not before the comma
Suggestion: ,
...to the abolition of the one child policy , allowing couples to have two children. ...
^^
Line 4, column 244, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...lection survey, magnetic surveys have to conducted over a period of time to help ...
^^
Line 4, column 263, Rule ID: PERIOD_OF_TIME[1]
Message: Use simply 'period'.
Suggestion: period
...netic surveys have to conducted over a period of time to help geophysicist gather data on the...
^^^^^^^^^^^^^^
Line 4, column 500, Rule ID: SENT_START_CONJUNCTIVE_LINKING_ADVERB_COMMA[2]
Message: Did you forget a comma after a conjunctive/linking adverb?
Suggestion: addition,
...duct such a cost intensive project. In addition before governments also needs data to i...
^^^^^^^^
Line 4, column 612, Rule ID: IT_VBZ[1]
Message: Did you mean 'taxes'?
Suggestion: taxes
...licies, for a government to increase it tax collection base , data is needed of the...
^^^
Line 4, column 631, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma, but not before the comma
Suggestion: ,
...nment to increase it tax collection base , data is needed of the number of activel...
^^
Line 5, column 86, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma, but not before the comma
Suggestion: ,
...ons based on their instinct without data ,which turns out to work for them. Howeve...
^^
Line 5, column 233, Rule ID: SENT_START_CONJUNCTIVE_LINKING_ADVERB_COMMA[1]
Message: Did you forget a comma after a conjunctive/linking adverb?
Suggestion: Also,
...very decision we make is based on data. Also due to the inherent risk in every decis...
^^^^
Transition Words or Phrases used:
also, but, first, hence, however, if, may, second, so, third, thirdly, well, as to, for example, for instance, in addition, such as, first of all
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 27.0 19.5258426966 138% => OK
Auxiliary verbs: 14.0 12.4196629213 113% => OK
Conjunction : 22.0 14.8657303371 148% => OK
Relative clauses : 28.0 11.3162921348 247% => Less relative clauses wanted (maybe 'which' is over used).
Pronoun: 68.0 33.0505617978 206% => Less pronouns wanted
Preposition: 117.0 58.6224719101 200% => OK
Nominalization: 36.0 12.9106741573 279% => Less nominalizations (nouns with a suffix like: tion ment ence ance) wanted.
Performance on vocabulary words:
No of characters: 3697.0 2235.4752809 165% => OK
No of words: 730.0 442.535393258 165% => Less content wanted.
Chars per words: 5.06438356164 5.05705443957 100% => OK
Fourth root words length: 5.19793345208 4.55969084622 114% => OK
Word Length SD: 2.83488876783 2.79657885939 101% => OK
Unique words: 339.0 215.323595506 157% => OK
Unique words percentage: 0.464383561644 0.4932671777 94% => More unique words wanted or less content wanted.
syllable_count: 1207.8 704.065955056 172% => OK
avg_syllables_per_word: 1.7 1.59117977528 107% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 12.0 6.24550561798 192% => OK
Article: 3.0 4.99550561798 60% => OK
Subordination: 4.0 3.10617977528 129% => OK
Conjunction: 4.0 1.77640449438 225% => Less conjunction wanted as sentence beginning.
Preposition: 13.0 4.38483146067 296% => Less preposition wanted as sentence beginnings.
Performance on sentences:
How many sentences: 30.0 20.2370786517 148% => OK
Sentence length: 24.0 23.0359550562 104% => OK
Sentence length SD: 73.5284978767 60.3974514979 122% => OK
Chars per sentence: 123.233333333 118.986275619 104% => OK
Words per sentence: 24.3333333333 23.4991977007 104% => OK
Discourse Markers: 4.83333333333 5.21951772744 93% => OK
Paragraphs: 5.0 4.97078651685 101% => OK
Language errors: 18.0 7.80617977528 231% => Less language errors wanted.
Sentences with positive sentiment : 7.0 10.2758426966 68% => OK
Sentences with negative sentiment : 9.0 5.13820224719 175% => OK
Sentences with neutral sentiment: 14.0 4.83258426966 290% => Less facts, knowledge or examples wanted.
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.355677366796 0.243740707755 146% => OK
Sentence topic coherence: 0.116096693839 0.0831039109588 140% => OK
Sentence topic coherence SD: 0.123680820671 0.0758088955206 163% => OK
Paragraph topic coherence: 0.216314575732 0.150359130593 144% => OK
Paragraph topic coherence SD: 0.0730658980987 0.0667264976115 110% => OK
Essay readability:
automated_readability_index: 14.6 14.1392134831 103% => OK
flesch_reading_ease: 38.66 48.8420337079 79% => OK
smog_index: 8.8 7.92365168539 111% => OK
flesch_kincaid_grade: 13.8 12.1743820225 113% => OK
coleman_liau_index: 12.36 12.1639044944 102% => OK
dale_chall_readability_score: 8.68 8.38706741573 103% => OK
difficult_words: 178.0 100.480337079 177% => OK
linsear_write_formula: 7.0 11.8971910112 59% => Linsear_write_formula is low.
gunning_fog: 11.6 11.2143820225 103% => OK
text_standard: 12.0 11.7820224719 102% => OK
What are above readability scores?
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Write the essay in 30 minutes.
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.