The following appeared as part of a column in a popular entertainment magazine:
“The producers of the forthcoming movie 3003 will be most likely to maximize their
profits if they are willing to pay Robin Good several million dollars to star in it—even
though that amount is far more than any other person involved with the movie will make.
After all, Robin has in the past been paid a similar amount to work in several films that
were very financially successful.”
Discuss how well reasoned . . . etc.
The argument that star actor Robin Good’s reputation and his past success in the box office, also lead producers to maximize their profits in upcoming movie 3003 is not entirely logically convincing, because it ignores certain crucial assumptions.
Firstly, the argument assumes that Robin Good’s popularity will make film project to achieve success in gains. But Producers forgot face tiredness problem in movie industry. Producers always prefer to work with unknown actors or popular star that last year haven’t seen in any movie. Spectators don’t like to watch same person in every film project. Robin Good played in many movies that people are tired to see him as in leading role. For example, Star Wars chose new faces for his new upcoming sequel rather than to prefer known stars.
Secondly, the argument believes that paying huge amount of money to Robin Good in movie 3003 will make success. Actually, making a movie is more than just leading role as supporting actors, screenwriters, director and other crew members. Most successful movies directed by global known people as Cristopher Nolan, Martin Scorsese or David Cameron. Cristopher Nolan is director of movies as Batman trilogy, Inceptions and Interstellar that grossed more than billion dollars. For example, choosing better crew in cost of playing with new faces could succeed.
Thirdly, the argument never addresses story of the movie. There are tens of films that played by Oscar winning actors but didn’t make huge effort for their producers. It means that playing with the star isn’t key of the accomplishment. Movie’s story have to be powerful to affect or attract people to the cinemas. Author’s conclusion provide nothing about script or story of the movie 3003 that decrease chances of movie to be successful. For example, story of Inception, Avatar or Interstellar attracted millions to cinemas and made huge gains.
Finally, the argument omits releasing time of the movie. Warner Bros, 21st Fox Century or Disney studios produces a lot of movies in every year that have big budgets and world known stars and directors in them. Summer period is known as time to release super hero concept movies in contrast autumn of the year there are movies that targets Golden Globes and Academy Oscars awards. For example, if 3003 movie will be released at the same time with Star Wars Rogue one, new James Bond movie or Dunkirk that world war two movie directed by Cristopher Nolan, success in the box office is impossible.
Thus, the argument is not completely sound.
The evidence in support of conclusion, producers must find a good story and director of the movie first then should search good time to release their movie that rival film studios haven’t release new project.
Ultimately, the argument might have been weakened by flaws in the argument.
Grammar and spelling errors:
Line 5, column 458, Rule ID: NODT_DOZEN[1]
Message: Use simply: 'a billion'.
Suggestion: a billion
...and Interstellar that grossed more than billion dollars. For example, choosing better c...
^^^^^^^
Line 5, column 497, Rule ID: AFFORD_VB[1]
Message: This verb is used with the infinitive: 'to better', 'to well'
Suggestion: to better; to well
... billion dollars. For example, choosing better crew in cost of playing with new faces ...
^^^^^^
Line 9, column 404, Rule ID: CD_NN[1]
Message: Possible agreement error. The noun 'movie' seems to be countable, so consider using: 'movies'.
Suggestion: movies
...my Oscars awards. For example, if 3003 movie will be released at the same time with ...
^^^^^
Line 9, column 521, Rule ID: CD_NN[1]
Message: Possible agreement error. The noun 'movie' seems to be countable, so consider using: 'movies'.
Suggestion: movies
...ond movie or Dunkirk that world war two movie directed by Cristopher Nolan, success i...
^^^^^
Discourse Markers used:
['actually', 'also', 'but', 'finally', 'first', 'firstly', 'if', 'second', 'secondly', 'so', 'then', 'third', 'thirdly', 'thus', 'for example', 'in contrast']
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance in Part of Speech:
Nouns: 0.341864716636 0.25644967241 133% => OK
Verbs: 0.133455210238 0.15541462614 86% => OK
Adjectives: 0.073126142596 0.0836205057962 87% => OK
Adverbs: 0.0383912248629 0.0520304965353 74% => OK
Pronouns: 0.0164533820841 0.0272364105082 60% => OK
Prepositions: 0.122486288848 0.125424944231 98% => OK
Participles: 0.036563071298 0.0416121511921 88% => OK
Conjunctions: 2.56084456838 2.79052419416 92% => OK
Infinitives: 0.0255941499086 0.026700313972 96% => OK
Particles: 0.0 0.001811407834 0% => OK
Determiners: 0.0475319926874 0.113004496875 42% => Some determiners wanted.
Modal_auxiliary: 0.0127970749543 0.0255425247493 50% => OK
WH_determiners: 0.0073126142596 0.0127820249294 57% => OK
Vocabulary words and sentences:
No of characters: 2883.0 2731.13054187 106% => OK
No of words: 464.0 446.07635468 104% => OK
Chars per words: 6.21336206897 6.12365571057 101% => OK
Fourth root words length: 4.64119157421 4.57801047555 101% => OK
words length more than 5 chars: 0.390086206897 0.378187486979 103% => OK
words length more than 6 chars: 0.280172413793 0.287650121315 97% => OK
words length more than 7 chars: 0.191810344828 0.208842608468 92% => OK
words length more than 8 chars: 0.0991379310345 0.135150697306 73% => OK
Word Length SD: 2.56084456838 2.79052419416 92% => OK
Unique words: 244.0 207.018472906 118% => OK
Unique words percentage: 0.525862068966 0.469332199767 112% => OK
Word variations: 61.673477843 52.1807786196 118% => OK
How many sentences: 25.0 20.039408867 125% => OK
Sentence length: 18.56 23.2022227129 80% => OK
Sentence length SD: 51.4898980384 57.7814097925 89% => OK
Chars per sentence: 115.32 141.986410481 81% => OK
Words per sentence: 18.56 23.2022227129 80% => OK
Discourse Markers: 0.64 0.724660767414 88% => OK
Paragraphs: 8.0 5.14285714286 156% => OK
Language errors: 4.0 3.58251231527 112% => OK
Readability: 46.5772413793 51.9672348444 90% => OK
Elegance: 2.66019417476 1.8405768891 145% => OK
Coherence and Cohesion:
Essay topic to essay body coherence: 0.45904232237 0.441005458295 104% => OK
Sentence sentence coherence: 0.0780528591442 0.135418324435 58% => OK
Sentence sentence coherence SD: 0.0690217940417 0.0829849096947 83% => OK
Sentence paragraph coherence: 0.551413528493 0.58762219726 94% => OK
Sentence paragraph coherence SD: 0.213709275667 0.147661913831 145% => OK
Sentence topic coherence: 0.163019699963 0.193483328276 84% => OK
Sentence topic coherence SD: 0.0866107468738 0.0970749176394 89% => OK
Paragraph paragraph coherence: 0.207145819469 0.42659136922 49% => OK
Paragraph paragraph coherence SD: 0.0989743381636 0.0774707102158 128% => OK
Paragraph topic coherence: 0.246151740515 0.312017818177 79% => OK
Paragraph topic coherence SD: 0.0868843001601 0.0698173142475 124% => OK
Task Achievement:
Sentences with positive sentiment : 16.0 8.33743842365 192% => OK
Sentences with negative sentiment : 8.0 6.87684729064 116% => OK
Sentences with neutral sentiment: 1.0 4.82512315271 21% => More neutral sentences wanted.
Positive topic words: 13.0 6.46551724138 201% => OK
Negative topic words: 8.0 5.36822660099 149% => OK
Neutral topic words: 1.0 2.82389162562 35% => OK
Total topic words: 22.0 14.657635468 150% => OK
What are sentences with positive/Negative/neutral sentiment?
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Rates: 50.0 out of 100
Scores by essay e-grader: 3.0 Out of 6 -- The score is based on the average performance of 20,000 argument essays. This e-grader is not smart enough to check on arguments.
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Note: This is not the final score. 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.