lets be fair
Quote:
Originally Posted by aztecknight View Post
I am saying that an attempt to prove that the media has a liberal bias requires more than a source whose mission statement is to collect and point out instances of liberal bias in the media.
Ad hominem circumstantial reasoning to justify moving the goalposts...
You conveniently left out an important part of my thought:
So what am I saying? I am saying that an attempt to prove that the media has a liberal bias requires more than a source whose mission statement is to collect and point out instances of liberal bias in the media. I am arguing that the sample size is not fair and not representative. How could it be? I cite their mission statement to back me up here.
I thought you were against underhanded "intellecually dishonest tactics" such as "taking his quotes out of context".
Ad hominem circumstantial:
Ad hominem circumstantial involves pointing out that someone is in circumstances such that he is disposed to take a particular position. Essentially, ad hominem circumstantial constitutes an attack on the bias of a person. The reason that this is fallacious in syllogistic logic is that pointing out that one's opponent is disposed to make a certain argument does not make the argument, from a logical point of view, any less credible
I'll ask again, where do I attack the bias of the person, in this case newsbusters, in order to make their argument less credible? We agree that newsbusters.org makes no claim or argument:
The fact that newsbusters doesn't make a claim or an argument is irrelevant to this discussion, ans simply serves as a red herring. But i think you already knew that...
Oh that's right:
We are making the claims of liberal bias citing examples from newsbusters. You are attempting to illogically disregard newsbusters to negate our argument.
Again, where do I attempt to illogically disregard newsbusters? Not really.
We both agree they aren't cherry picking:
reread their mission statment. They are only concerned with documenting instances of liberal bias in the media. They are not attempting to provide a cross section of all biases in the media.
So can we agree that I am not attacking the newsbusters or their bias.
Let me modify your definition of cherry picking:
Cherry picking is the act of pointing at individual cases or data that seem to confirm a particular position, while ignoring a significant portion of related cases or data that may contradict that position.
You didn't really modify anything. You highlighted two words. Shame on you, trying to mislead others into thinking I left out a very significant portion of the definition. Here is my original post:
Cherry picking is the act of pointing at individual cases or data that seem to confirm a particular position, while ignoring a significant portion of related cases or data that may contradict that position.
Again, nothing has been modified.
So if I'm not attacking newsbusters, what am I attacking? I am attacking your sample which supports your hypothesis that the media has a liberal bias. I am attacking the size and fairness. Is the word fairness what is giving you problems? Is this what your whole ad hominem argument is based on? We'll analyze it shortly.
1. Size - the msm is very large. You cite one source and a flawed study as proof.
2. Fairness - your samples are biased. Is this what you're getting hung up on? I don't mean biased in the political sense:
Bias is a term used to describe a tendency or preference towards a particular perspective, ideology or result, especially when the tendency interferes with the ability to be impartial, unprejudiced, or objective.
This has nothing to do with your sample or newsbusters. As you yourself stated:
eread their mission statment. They are only concerned with documenting instances of liberal bias in the media. They are not attempting to provide a cross section of all biases in the media.
There is no bias in this sense of the term. Newsbusters does not make claims of being impartial, unprejudiced, or objective. This we can agree on.
Your sample is biased in the scientific/scholastic/statistical sense.
A biased sample is a statistical sample of a population in which some members of the population are less likely to be included than others. If the bias makes estimation of population parameters impossible, the sample is a non-probability sample.
An extreme form of biased sampling occurs when certain members of the population are totally excluded from the sample (that is, they have zero probability of being selected).
Your sample is an extreme form of a biased sample. Or did you forget:
They are not attempting to provide a cross section of all biases in the media.
This is a problem, why?
A biased sample causes problems because any statistic computed from that sample has the potential to be consistently erroneous. The bias can lead to an over- or under-representation of the corresponding parameter in the population.
I hope you better understand my argument now. Yours is a biased sample and relatively small.
But wait:
The vast majority of the information out there supports the idea that the majority of the media is liberally biased. The only way a significant portion or contradicting info can possibly be claimed to have been ignored in the conclusion of liberal bias is if you are imposing the unrealistic expectation of looking at all stories in the media. Can you say moving the goalposts?
I think the one guilty of moving the goalposts is you. You're moving them closer.
Moving the goalpost can also take the form of reverse feature creep, in which features are eliminated from a product, and the goal of the project is redefined in such a way as to exclude the eliminated features.
You claim vast majority of the information out there supports your claim of bias and in the same thought claim that it is an unrealistic expectation to look at all stories in the media. How can you claim a majority if looking at all stories is unrealistic? Have you looked at a fair sample? If you have it please share it with us.
A majority, also known as a simple majority in the U.S., is a subset of a group that is more than half of the entire group.
How can you know that the vast majority of data supports your claim if it is in your words an "unrealistic expectation of looking at all stories in the media." How do you know you have more than half of the entire group?
Hasty generalization is a logical fallacy of faulty generalization by reaching an inductive generalization based on insufficient evidence.
Yes, you are guilty of this. But we can argue semantic if you'd like and discuss the meaning of 'insufficient'.
In my defense I don't claim a necessity to analyze all stories, a 'fair sample' not a 'biased sample' would suffice. As we've discussed, newsbusters provides a 'biased sample'. Again, not bias in the sense they are conservative but rather that they exclude other examples.
Again, by the standard you are imposing on newsbusters, Conwebwatch is an invalid and irrelevant source, but anyway...
Again, by your standard they are very legit.
I skimmed that article and it is rather obvious that this site is the same as media matters; a dishonest leftist smear machine.
Can we say ad hominem abusive:
ad hominem abusive (also called argumentum ad personam) usually and most notoriously involves insulting or belittling one's opponent, but can also involve pointing out factual but ostensibly damning character flaws or actions which are irrelevant to the opponent's argument. This tactic is logically fallacious because insults and even true negative facts about the opponent's personal character have nothing to do with the logical merits of the opponent's arguments or assertions.
I could go in to all the other fallacious arguments, misinformation and distortion in that article but I think my point is clear; conwebwatch is another site like Media Matters that has a demonstratable lack of intellecual integrety and is simply a smear machine. Not really a criticism of MRC that should be given any weight.
ditto. ad hominem abusive
So to summarize:
Claim: Your claim is media has a liberal bias.
proof: Your proof cites mediabusters, UCLA study.
Flaws:
1. UCLA study is flawed, read the articles I attached that attack the methods used in study and not the those conducting the study.
2. mediabusters provides a biased sample. not biased as in they are conservative nuts, but rather statistically... see above.
3. not enough data. see biased sample. and definition of majority.
I'll see you guys tomorrow. This is fun
. Keeps the mind sharp.