K 12 thesis statement

k 12 thesis statement

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If someone says Believe me about the minimum wage because i seem like a trustworthy guy, most of them will have at least one neuron in their head that says I should ask for some evidence. If theyre really smart, theyll use the magic words peer-reviewed experimental studies. But I worry that most smart people have not learned that a list of dozens of studies, several meta-analyses, hundreds of experts, and expert surveys showing almost all academics support your thesis can still be bullshit. Which is too bad, because thats exactly what people who want to bamboozle an educated audience are going to use. I do not want to preach radical skepticism. For example, on the minimum wage issue, i notice only one side has presented a funnel plot. A funnel plot is usually used to investigate publication bias, but it has another use as well its pretty much an exact presentation of the bell curve we talked about above. This is more of a needle curve than a bell curve, but the point still stands.

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And if you are a leftist, what you will find on the sites you trust will be something like this: people used to believe that the minimum wage decreased unemployment. But Card and Kruegers famous 1992 study exploded that conventional wisdom. Since then, the results have been replicated over fifty times, and further meta-analyses (Card and Krueger 1995, dube 2010) have found no evidence of any effect. Leading economists agree by a 4 to 1 margin that the benefits of raising the minimum wage outweigh the costs, and thats why more than 600 of them have signed a petition telling the government to do exactly that. Instead of listening to conservative scare tactics based on long-debunked theories, listen to the empirical evidence and the overwhelming majority of economists and support a raise in the minimum wage. Google the issue and see what stuff comes. If it doesnt quite match what I said above, its usually because they cant even muster that level of scholarship. Half the sites just cite gute card and Krueger and call it a day! These sites with their long lists of studies and experts are super convincing. And half of them are wrong. At some point in their education, most smart people usually learn not to credit arguments from authority.

But unless you look very very hard, you will never know that. If you are a conservative, what you will find on the sites you trust will be something like this: Economic theory has always shown that minimum wage increases decrease employment, but the left has never been willing to mini accept this basic fact. In 1992, they trumpeted a single study by card and Krueger that purported to show no negative effects from a minimum wage increase. This study was immediately debunked and found to be based on statistical malpractice and massaging the numbers. Since then, dozens of studies have come out confirming what we knew all along that a high minimum wage is economic suicide. Systematic reviews and meta-analyses (Neumark 2006, boockman 2010) consistently show that an overwhelming majority of the research agrees on this fact as do 73 of economists. Thats why five hundred top economists recently signed a letter urging policy makers not to buy into discredited liberal minimum wage theories. Instead of listening to starry-eyed liberal woo, listen to the empirical evidence and an overwhelming majority of economists and oppose a raise in the minimum wage.

k 12 thesis statement

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Except that six hundred economists signed a letter to policy makers saying that the science of economics shows increasing the minimum wage would be a good idea. (h/t Greg Mankiw ) Fine then. Lets do a formal survey of economists. M, an unbiased source if ever there was one, confidently tells us that indicative is a 2013 survey by the University of Chicagos booth School of Business in which leading economists agreed by a nearly 4 to 1 margin that the benefits of raising and. But the Employment Policies Institute, which sounds like its trying way too hard to sound like an unbiased source, tells us that over 73 percent of aea labor economists believe that a significant increase will lead to employment losses and 68 percent think these employment. Only 6 percent feel that minimum wage hikes are salon an efficient way to alleviate poverty. So summary the whole thing is fiendishly complicated.

But m declares that two decades of rigorous economic research have found that raising the minimum wage does not result in job lossresearchers and businesses alike agree today that the weight of the evidence shows no reduction in employment resulting from minimum wage increases. Modeled Behavior says the majority of the new minimum wage research supports the hypothesis that the minimum wage increases unemployment. The center for Budget and Policy Priorities says The common claim that raising the minimum wage reduces employment for low-wage workers is one of the most extensively studied issues in empirical economics. The weight of the evidence is that such impacts are small to none. They seem like experts. What do they think? Well, five hundred economists signed a letter to policy makers saying that the science of economics shows increasing the minimum wage would be a bad idea. That sounds like a promising consensus.

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k 12 thesis statement

Thesis, guide

Maybe some of us know Card and Krueger wrote a pretty convincing rebuttal of those claims. Or that a bunch of large and methodologically advanced studies have come out since then, some finding no effect like. Dube, others finding strong effects like. These are just examples; there are at least dozens and probably hundreds of studies on both sides. But we can solve this religious with meta-analyses and systemtic reviews, right?

Depends which one you want. Do you go with this meta-analysis of fourteen studies that shows that any presumed negative effect of high minimum wages is likely publication bias? With this meta-analysis of sixty-four studies that finds the same thing and discovers no effect of minimum wage after correcting for the problem? Or how about this meta-analysis of fifty-five countries that does find effects in most of them? Maybe you prefer this systematic review of a hundred or so studies that finds strong and consistent effects? Can we trust news sources, think tanks, econblogs, and other institutions to sum up the state of the evidence? Cnn claims that 85 of credible studies have shown the minimum wage causes job loss.

Depakote is ineffective at maintenance bipolar therapy. Depakote is ineffective at bipolar. So just sum it up as Smith et al 1987 found the drug ineffective, yet doctors continue to prescribe it anyway. Even if you hunt down the original study (which no one does Smith et al wont say specifically do remember that this study is only looking at bipolar maintenance, which is a different topic from bipolar acute antimanic treatment, and were not saying anything about. It will just be titled something like depakote fails to separate from placebo in six month trial of 91 patients and trust that the responsible professionals reading it are well aware of the difference between acute and maintenance treatments (hahahahaha).


So its not so much beware the man of one study as beware the man of any number of studies less than a relatively complete and not-cherry-picked survey of the research. I think medical science is still pretty healthy, and that the consensus of doctors and researchers is more-or-less right on most controversial medical issues. (its the uncontroversial ones you have to worry about). Politics doesnt have this protection. Like, take the minimum wage question (please). We all know about the Krueger and Card study in New Jersey that found no evidence that high minimum wages hurt the economy. We probably also know the counterclaims that it was completely debunked as despicable dishonest statistical malpractice.

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Shes examining the entire literature and extracting careful and well-informed conclusions from. Shes going to a summary luncheon at a really nice restaurant sponsored by a pharmaceutical company, which assures her that they would never take advantage of such an opportunity to shill their drug, they just want to raise awareness of the latest study. And the latest study shows that their drug is great! And your doctor nods along, because the authors of the study are prestigious scientists, and its about as rigorous and well-done as any other study. But obviously the pharmaceutical company has selected one of the studies from the very good writing end of the bell curve. And I called this Beware The man of One Study, but its easy to see that in the little diagram there are like three or four studies showing that the drug is very good, so if your doctor is a little skeptical, the pharmaceutical company. And even though it looks like in our example the sketchy alternative medicine website only has one very bad study to go off of, they could easily supplement it with a bunch of merely bad studies. Or they could add all of those studies about slightly different things. Depakote is ineffective at treating bipolar depression.

k 12 thesis statement

If you have a graph titled Effectiveness Of Depakote In Treating Bipolar Disorder plotting studies from Very bad to very good and you stick all the studies maintenence, manic, depressive, bipolar i, bipolar ii on the graph, then youre going to end running the gamut. So heres why you should beware the man of one study. If you go to your better for class of alternative medicine websites, they dont tell you studies are a logocentric phallocentric tool of Western medicine and the big Pharma conspiracy. They tell you medical science has proved that this drug is terrible, but ignorant doctors are pushing it on you anyway. Look, heres a study by a reputable institution proving that the drug is not only ineffective, but harmful. And the study will exist, and the authors will be prestigious scientists, and it will probably be about as rigorous and well-done as any other study. And then a lot of people raised on the idea that some things have evidence and other things have no evidence think holy s*t, theyre right! On the other hand, your doctor isnt going to a sketchy alternative medicine website.

bad, maybe seriously dangerous. This is before we get into fraud or statistical malpractice. Im saying this is whats going to happen just by normal variation in experimental design. As we increase experimental rigor, the bell curve might get squashed horizontally, but there will still be a bell curve. In practice its worse than this, because this is assuming everyone is investigating exactly the same question. Suppose that the graph is titled Effectiveness Of This Drug In Treating Bipolar Disorder. But maybe the drug is more effective in bipolar i than in bipolar ii (Depakote, for example). Or maybe the drug is very effective against bipolar mania, but much less effective against bipolar depression (Depakote again). Or maybe the drug is a good acute antimanic agent, but very poor at maintenance treatment (lets stick with Depakote).

Suppose a certain drug is weakly effective against a certain disease. After a few years, a bunch of different research groups have gotten their hands on it and done all sorts of different studies. In the best case scenario the average study will find the true result that thesis its weakly effective. But there will also be random noise caused by inevitable variation and by some of the experiments being better quality than others. In the end, we might expect something looking kind of like a bell curve. The peak will be at weakly effective, but there will be a few studies to either side. Something like this: we see that the peak of the curve is somewhere to the right of neutral ie weakly effective and that there are about 15 studies that find this correct result.

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You're reading a free preview, pages 4 to 23 are not shown in this preview. Buy the full Version, you're reading a free preview, pages 27 to 87 are not shown in this preview. Buy the full Version, you're reading a free preview, pages 91 to 121 are not shown in this preview. Buy the full Version, you're reading a free preview, pages 125 to 132 are not shown in this preview. Buy the full Version, you're reading a free preview, pages 136 to 175 are not shown in this preview. Buy the full Version. Aquinas famously said : beware the man of one presentation book. I would add: beware the man of one study. For example, take medical research.


K 12 thesis statement
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  5. University of california, san diegofacing the earth, Grounding the Image: Representations of the aztec Tlaltecuhtli a thesis. Aquinas famously said: beware the man of one book. I would add: beware the man of one study. For example, take medical research. Suppose a certain drug is weakly effective against a certain disease.

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