How statistics and numbers are telling lies
In the beginning, I must say that words and numbers are telling lies, people are telling lies. Big numbers in statistics are a good and very confessing way to tell people, that most of them are behind some decision. And if most of the people are supporting something, the resistance is unnecessary. Who would resist things, what is benefiting the entire area like some new factories, but I will return to that thing later. The information what is delivered could be lies, but they can also be a little bit twisted, which means that the information would deliver in the form that 30% of people are supporting some decision, even if 70% was against that thing.
So as I have written many times before the most effective version for making statistics look like the real thing is to choose the sample that way, that it supports our interests or opinions. This means that we can choose persons for interviewing who are using the products, what we represent. This kind of things are probably some cases done by tobacco industries. The persons, who make interviews are choosing only smokers for the poll, where is "researched" people attitude about smoking. This is the best way to manipulate politics. If 80% of people are smoking, why there should limit that thing?
This is the key element in the manipulation of statistics. Its mission is to confess political leaders that most of the people are supporting some things, and that's why people should keep their mouth shut about things, what are a little bit embarrassing like the smoking disturbs people, who are not smokers. This is one thing, what we can use as an example of the use of statistics in the political field. One of the purposes of those statistics is just rolling the other opinions and researchers.
When we are thinking about the influence of the numbers and ethical marketing, we are normally facing situations, where some merchandise is marketed by using term price is only 4,95€, and that thing is basing the element that 4,95 looks like better than some prize, what is 5 or some other square of numbers. This thing is normally used marketing method. But how the numbers are used in statistics. One version is to say, that 60% of people, who are answering for questions have some kind of opinions, and at the same time is used the big numbers, that there were 261 000 persons, who have interviewed during research.
And there is no other information, like how the selection is done? Who were those 261 000 persons, who were selected for that sample? Big numbers are confessing thing in the public texts, the thing is that big numbers are meant for falling people, who are a different kind of opinions about things. Statistics and Gallup-polls are a fascinating combination when people are trying to influence politics and their decisions.
When we are thinking about one of the best examples when the politics are tried to confess, that some decision is really good are the cases, where the people are confessed, that they should support the building of the new factory. The thing what is told is that the project brings 10 000 new workplaces for the area, and that is a very impressive way to tell things. But one thing is forgotten to tell, and that is the type of jobs.
And actually, one other thing is also forgotten and that is are those workplaces going to hands of local people? That kind of things is forgotten to tell, that what kind of education is needed in those jobs, and also that people can send job applications form everywhere from the country is sometimes forgotten to tell. So this kind of things is normal weapons from marketing things.
In the beginning, I must say that words and numbers are telling lies, people are telling lies. Big numbers in statistics are a good and very confessing way to tell people, that most of them are behind some decision. And if most of the people are supporting something, the resistance is unnecessary. Who would resist things, what is benefiting the entire area like some new factories, but I will return to that thing later. The information what is delivered could be lies, but they can also be a little bit twisted, which means that the information would deliver in the form that 30% of people are supporting some decision, even if 70% was against that thing.
So as I have written many times before the most effective version for making statistics look like the real thing is to choose the sample that way, that it supports our interests or opinions. This means that we can choose persons for interviewing who are using the products, what we represent. This kind of things are probably some cases done by tobacco industries. The persons, who make interviews are choosing only smokers for the poll, where is "researched" people attitude about smoking. This is the best way to manipulate politics. If 80% of people are smoking, why there should limit that thing?
This is the key element in the manipulation of statistics. Its mission is to confess political leaders that most of the people are supporting some things, and that's why people should keep their mouth shut about things, what are a little bit embarrassing like the smoking disturbs people, who are not smokers. This is one thing, what we can use as an example of the use of statistics in the political field. One of the purposes of those statistics is just rolling the other opinions and researchers.
When we are thinking about the influence of the numbers and ethical marketing, we are normally facing situations, where some merchandise is marketed by using term price is only 4,95€, and that thing is basing the element that 4,95 looks like better than some prize, what is 5 or some other square of numbers. This thing is normally used marketing method. But how the numbers are used in statistics. One version is to say, that 60% of people, who are answering for questions have some kind of opinions, and at the same time is used the big numbers, that there were 261 000 persons, who have interviewed during research.
And there is no other information, like how the selection is done? Who were those 261 000 persons, who were selected for that sample? Big numbers are confessing thing in the public texts, the thing is that big numbers are meant for falling people, who are a different kind of opinions about things. Statistics and Gallup-polls are a fascinating combination when people are trying to influence politics and their decisions.
When we are thinking about one of the best examples when the politics are tried to confess, that some decision is really good are the cases, where the people are confessed, that they should support the building of the new factory. The thing what is told is that the project brings 10 000 new workplaces for the area, and that is a very impressive way to tell things. But one thing is forgotten to tell, and that is the type of jobs.
And actually, one other thing is also forgotten and that is are those workplaces going to hands of local people? That kind of things is forgotten to tell, that what kind of education is needed in those jobs, and also that people can send job applications form everywhere from the country is sometimes forgotten to tell. So this kind of things is normal weapons from marketing things.
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