Michigan State Professor Reportedly Strips Naked In Class And Screams “None Of It Is Real”

Michigan State University students had an unconventional math class this week after professor John McCarthy, 57, reportedly stripped naked in Calculus 1 class and began screaming that “there is no f—ing God” and “It’s all an act and none of it’s real.” In the age of laptop computers, the most surprising thing is that the students noticed and looked up from their computers. Presumably one student asked the standard question of “will this be on the test?”


Witnesses said that McCarthy was going through a routine derivative equation when he started to talk about his colleagues and how “they’re all actors.” He added that “It’s all an act and none of it’s real.”

McCarthy was arrested but not actually charged with a crime. He can certainly be charged with indecent exposure but I hope that he is not and that the police show a modicum of discretion. He obviously had a psychological meltdown. Brilliance sometimes comes with such mental issues as vividly shown in movies like “A Beautiful Mind.”

I would also hope that the faculty treats this matter as a mental illness and allows McCarthy to seek treatment rather than simply fire him. I realize it will be difficult for him to return to the classroom, but we need to treat mental illness like other forms of illness. Thus far the school has merely reassigned his classes. I expect that he is unlikely to return to teaching but in my view the school should treat this matter as an illness rather than misconduct. What do you think?

Source: NY Daily News

387 thoughts on “Michigan State Professor Reportedly Strips Naked In Class And Screams “None Of It Is Real””

  1. Good evening, folks. I’m not calling anybody in particular out. Today I had to take a friend (Muslim) to some Jewish religious services (she had asked) and so I did, so I had a large dose of not understanding things (happens to me whenever I get involved in anything religious) and then became quite tired and napped and then woke up and read the posts on this blog and got to not understanding all over again.

    So I undressed and I want to let y’all know: none of it is real. 😈

  2. @Slart: I’m sorry if this comes across as snotty,

    Please, be as snotty as you want, I have 25 years behind me in business and working for Fortune 500 companies before I retired to academia; it is my opinion, but you do not know what you are talking about.

    As for the “italicized” phrase, that is my attempt to describe for a layman audience the difference between forward error and backward error.

    For that layman audience:

    Forward error is the error in the estimate given by a parameterized equation; but when the parameters are themselves estimates, it is useful to analyze how much those parameter estimates will change if we use different subsets of our data to estimate them.

    For a simple example, we can estimate one average on 100 samples. But if we are going to USE the average to make a decision, we might want to see how “stable” the average is, and one way to do that is to take, say, 100 averages by choosing just 75 samples at a time from our 100 samples. We will get 100 different answers, so we can look to see how they are distributed, what the smallest answer was and the highest answer, and this will give us an idea of how close that original average (on 100 samples) may be to the global average of an entire population.

    When we are estimating the parameters of distributions, we can do the same thing. Forward error is how far off the model may be. But in business, measuring forward error often means suffering from the error, if I project sales of $1M in the next quarter and get half that, I have a lot of product rotting on the shelf.

    But most models are built with existing (i.e. historical) data; if I am predicting sales for next quarter, I am building my model based on experience and expert assumptions. It is silly to build one analytic model based on all the data and then believe it. It is smarter to build hundreds of analytic models, each based on a significant subset of the data. They will produce different parameters in the mathematical model, and seeing how those parameters vary (their distribution) informs us as to sensitivities in our model, and the extremes of the range (or various quantiles, like the 10% and 90%) help us understand the risks we are taking.

    The advantage of the backward error approach is that we have the data before we implement the plan, so we can perturb the data a little bit, or take subsets of it, and see how sensitive the parameters (which are just estimates themselves) are to those perturbations.

    Here is an introductory article on Sensitivity Analysis.

    Back to Slart:
    I write here for layman, if you don’t like it, too bad.

    As for predicting the stock market, that is not “business” in my view.

    As for students needing an understanding of Calculus to perform statistics, robust or otherwise: Oh pleeease, middle school students can understand averages and standard deviations, they could certainly understand robust statistics. I was fitting least squares lines in the ninth grade, I did not need to understand I was setting a derivative to zero to do that.

    The analysis of statistic formulae requires calculus to be sure; using statistics almost never requires calculus, and that is the arena in which business operates: They are the consumers of statistical methods, not the creators of them.

    By “Business” I do not mean somebody buying and selling stocks (or bonds or derivatives or other paper), I mean people that sell a product or service to consumers. Their problems are not solved by calculus (except indirectly), because there is too much uncertainty in consumer behavior, and consumer behavior is influenced by things like the economy or news that cannot be predicted, except statistically.

  3. Slartibartfast 1, October 6, 2012 at 6:03 pm

    Matt,

    I’m going to do the worst thing to you that I can: I’ll let everyone here make their own judgement about your character based on your words.
    ===================================================
    Works for me.

  4. Matt,

    I’m going to do the worst thing to you that I can: I’ll let everyone here make their own judgement about your character based on your words.

  5. slarti,

    Mazes can be fun. Fortunately, this kind of maze is easiest b/c I don’t have to follow every path. : )

  6. Slartibartfast 1, October 6, 2012 at 5:40 pm

    Matt,

    Once the journal makes its decision, I’ll be happy to report it here (and link to the paper if and when it’s published) and when I get to the point where I’m trying to market my services (my goal is Halloween), I’ll provide a link to my website so you can see what I’m selling. Time will tell if my work has the impact that I hope and all I’ve ever wanted is for that judgement to be based on its merits. I don’t see myself as exceptional—I think I am standing on the shoulders of a pyramid of giants and that there are many others who can do the same. If what Tony said is correct, then I’ve been unemployed and on a fool’s errand for nearly three years, so what I said about betting my career that he’s wrong seems like a reasonable interpretation. I’ve given my name on this site (Kevin Kesseler) and consistently claimed to have a MSU BS (1991), an MSU MS (1995), and a Duke PhD (2004)—all in math. I’m sure most of that can be verified on the web (I also have an MA from Duke, but that doesn’t really count in my mind…) and given that I was a grad student in the Michigan State University math department from 1993 to 1995, it’s not very remarkable that I was in a class taught by one of their professors. In any case, I could get the transcript to verify that I was in Professor McCarthy’s class and received a 0.0 for my efforts if I chose. I have no legal training whatsoever, but I’ve been frequenting this blog (and listening to lawyers like Vince Treacy dissecting the birther movement) for 4 years now, so I’ll take it as a compliment that I sound like a lawyer (indeed, I think the highest compliment that I could pay any commenter here is to say that they sound like Vince…). So you can call bullshit on me if you like, but, if so, you’d better be prepared to eat some serious crow, because I’ve represented myself honestly and with as much objectivity as possible. I’m pretty passionate about this because it is my profession and my work is a big part of who I am—you wouldn’t expect the lawyers here to react any differently to those who say ridiculous things about the law, would you? How do you think I’m going to react if you continue to call me a liar? Remember, even if math isn’t magic, this is still good advice:

    Do not meddle in the affairs of mathematicians, for they are subtle and quick to anger.

    Don’t temp me to use the addendum of one of my favorite wizards, Harry Dresden:

    F*ck subtle.

    ==========

    Your services suck! Piss off. What are you going to do about that?

  7. Matt,

    Once the journal makes its decision, I’ll be happy to report it here (and link to the paper if and when it’s published) and when I get to the point where I’m trying to market my services (my goal is Halloween), I’ll provide a link to my website so you can see what I’m selling. Time will tell if my work has the impact that I hope and all I’ve ever wanted is for that judgement to be based on its merits. I don’t see myself as exceptional—I think I am standing on the shoulders of a pyramid of giants and that there are many others who can do the same. If what Tony said is correct, then I’ve been unemployed and on a fool’s errand for nearly three years, so what I said about betting my career that he’s wrong seems like a reasonable interpretation. I’ve given my name on this site (Kevin Kesseler) and consistently claimed to have a MSU BS (1991), an MSU MS (1995), and a Duke PhD (2004)—all in math. I’m sure most of that can be verified on the web (I also have an MA from Duke, but that doesn’t really count in my mind…) and given that I was a grad student in the Michigan State University math department from 1993 to 1995, it’s not very remarkable that I was in a class taught by one of their professors. In any case, I could get the transcript to verify that I was in Professor McCarthy’s class and received a 0.0 for my efforts if I chose. I have no legal training whatsoever, but I’ve been frequenting this blog (and listening to lawyers like Vince Treacy dissecting the birther movement) for 4 years now, so I’ll take it as a compliment that I sound like a lawyer (indeed, I think the highest compliment that I could pay any commenter here is to say that they sound like Vince…). So you can call bullshit on me if you like, but, if so, you’d better be prepared to eat some serious crow, because I’ve represented myself honestly and with as much objectivity as possible. I’m pretty passionate about this because it is my profession and my work is a big part of who I am—you wouldn’t expect the lawyers here to react any differently to those who say ridiculous things about the law, would you? How do you think I’m going to react if you continue to call me a liar? Remember, even if math isn’t magic, this is still good advice:

    Do not meddle in the affairs of mathematicians, for they are subtle and quick to anger.

    Don’t temp me to use the addendum of one of my favorite wizards, Harry Dresden:

    F*ck subtle.

  8. Slartibartfast 1, October 6, 2012 at 3:43 pm

    Matt,

    I just finished an academic paper (which I alluded to above) which completely falsifies Tony’s point which you quoted (note: it hasn’t been accepted yet). It takes exact solutions with estimated parameters and shows that the behavior is robust with respect to random perturbations in those parameters. The parameter study took me 9 months to program and inspired me to try a project which I believe, if successful, has the potential to revolutionize protein-protein interaction modeling. I’m about a month away from being able to provide this sort of modeling to research labs doing “bench” science. Me. With a little bit of help from friends and colleagues, virtually no financial support, and a margin of error so thin I could see the spectacular failure on the other side. Now, I don’t think my abilities are all that remarkable for a mathematical scientist, and time will tell if my work has merit or if I’m just a fool, but I’ve bet my career that Tony is dead wrong.

    raff,

    That just proves the point that sufficiently advanced mathematics are magic! Unfortunately my time in Professor McCarthy’s geometry (or algebraic topology) class was less than magical… 🙁
    ==========================================
    I have to ask if you’re full of something. You sound like a lawyer.

  9. bettykath,

    I’m sorry, but where I go, math seems to follow… In my defense, this is a thread about a math professor and, having actually been a student of the professor in question I could hardly be expected to stay away, right? And once I was here, I couldn’t really ignore people talking about my profession and getting it wrong, could I? 😉

  10. hmmmm, A naked prof, a pres. debate, the syria/turkey scuffle, and math. Is this a new feature? A maze? i kept getting lost.

  11. Matt,

    I just finished an academic paper (which I alluded to above) which completely falsifies Tony’s point which you quoted (note: it hasn’t been accepted yet). It takes exact solutions with estimated parameters and shows that the behavior is robust with respect to random perturbations in those parameters. The parameter study took me 9 months to program and inspired me to try a project which I believe, if successful, has the potential to revolutionize protein-protein interaction modeling. I’m about a month away from being able to provide this sort of modeling to research labs doing “bench” science. Me. With a little bit of help from friends and colleagues, virtually no financial support, and a margin of error so thin I could see the spectacular failure on the other side. Now, I don’t think my abilities are all that remarkable for a mathematical scientist, and time will tell if my work has merit or if I’m just a fool, but I’ve bet my career that Tony is dead wrong.

    raff,

    That just proves the point that sufficiently advanced mathematics are magic! Unfortunately my time in Professor McCarthy’s geometry (or algebraic topology) class was less than magical… 🙁

  12. Bron,

    Math is an abstract intellectual concept—on its own it follows logical rules and all of it’s claims are provably true or false (Gene—I know this is a vast oversimplification and not strictly true in light of Gödel’s theorem, but it still has plenty of truthiness). Applied math, on the other hand, is the use of that perfect logical framework in an attempt to understand aspects of the universe (which can be quite messy). The “map” produced in this attempt is ALWAYS an imperfect description of the “territory”—yet the map of Newtonian physics is a “workable approximation” that was, while in a absolute sense incorrect, close enough that you’ve gone your entire career as an engineer without making an error by using it. Now we’ve been producing maps of the territory called “physics” for centuries and we’ve gotten pretty good at it, but even though we’ve only been applying mathematics to biology for decades, we’re already starting to get miraculous results. The application of math to economics (i.e. the science of economics) is in its infancy, but there is absolutely no reason to suspect scientific empiricism will be any less successful a strategy there than it was in physics. After all, scientific business models don’t have to be perfect—they just need to be good enough to make money

    I mentioned my friend’s view of magic as it was pertinent to the discussion on the thread and while I didn’t say I agreed with it, I would note that it is logically consistent (unlike many of the things which you believe). A logical consequence of the belief that science is magic is that applied math is, essentially, virtual magic. Which allowed me to paraphrase Tolkien in a way that very much appealed to me as a SciFi/Fantasy geek. I never said that was what I believed, so shame on you for making it into an inaccurate straw man (math is in no way an approximation to the physical world—it is a perfect intellectual construct which can be applied to approximate the physical world. This type of application of mathematics is known as (hard) science).

    Why don’t you walk over until your nose (or your belly) touches the wall and think quietly about how you were wrong until you understand. 😛

  13. Tony C. 1, October 5, 2012 at 4:16 pm

    The beauty (and problem) with calculus is that it gives exact solutions, and fails when exact solutions are not available. But exact solutions presume exact inputs, and exact inputs are usually not available. Also, an exact solution to approximate inputs is usually not robust at all.
    ==============================================
    You’re smarter than you think. Garbage in, garbage out.

  14. slarti:

    math is just a model, you cannot really accurately model reality. You can get close enough for workable approximations but then you could probably do that with observation and experimentation which is what we do anyway to make sure the math actually works in describing a physical object or process.

    math isnt magic, it is just a gross approximation of the physical world.

    If I walk toward a wall, eventually my nose [or belly] touches the wall. I do get to the wall.

  15. Mike,

    I agree with you completely about 24.

    Tony C,

    Regarding magic, I had a conversation with a quantum physicist recently (a professor at MSU) who argued that science is magic—in other words, magic is just a word to describe a sufficient understanding of the universe to do something that looks miraculous. Or to paraphrase Clarke: any sufficiently advanced technology IS magic.

    You said:

    Sorry I missed all the responses; I was busy. With calculus!

    The reason I am doubtful of “business calculus” is that, in my experience, business problems are human problems.

    See my posts above—both about the purpose of calculus classes for business majors (I’ve taught business calc at MSU, by the way) and the applicability of math to business (something I’m interested in professionally).

    The closest we come to advanced math is optimization problems; like with the simplex method, but that is not really calculus, and if it is needed, software is bought or experts are contracted.

    I don’t think you know what you are talking about. Linear algebra is what you need to go from calculus to differential equations (the simplex method is an example of linear algebra). I doubt you can find anyone who doesn’t understand calculus but does understand linear algebra. If you want to use differential equations to model something (very common) you need to start by understanding derivatives (i.e. calc I) AND matrices.

    In my opinion, business is (right now) a richer source of many types of calculus problems than physics is. But that’s not the point. People in business don’t need to know about specialized mathematical tools (especially since to learn them takes from 5-10 years of study—14 in my case 😉 ), they need to understand math enough that they can communicate with the people who understand the tools and know how to use them. Read about Richard Feynman’s investigation of the Challenger disaster if you want to know why…

    Business numbers (sales, costs, etc) are “squishy” [In my opinion, businesses which are “squishy” about their numbers (i.e. $) do not last long…] and idiosyncratic to particular situations, markets, economic conditions, labor and supply conditions. They always will be, and that makes statistics (beyond the normal distribution) the math of choice for high business.

    Aaarrrgghh! I don’t even know where to start—except to say that starting with statistics would be a foolish modeling decision, in my opinion. I’ve built a model of a manufacturing business and I am (with the help of a colleague) currently constructing a model for the modeling business that I am trying to build (it’s very meta 😉 ). I have friends (classmates) who work building financial trading models for Wall Street companies. You use statistics to look at data (and there are generally better ways to do that), not to solve math problems arising from business. Then you go to stochastic models—which is probability, not statistics.

    The beauty (and problem) with calculus is that it gives exact solutions, and fails when exact solutions are not available.

    Please stop. I’ve been studying deterministic chaos since I first read Gleick’s book (Chaos) in high school. The incredible beauty and complexity that comes out of equations with exact solutions that can never be known is… well, just look at my avatar. The idea that “calculus fails when exact solutions are not available” is, in my experience, just not true—calculus gets cool when exact solutions are not available. That’s what Lorenz first showed with his butterfly…

    But exact solutions presume exact inputs, and exact inputs are usually not available. Also, an exact solution to approximate inputs is usually not robust at all.

    I just submitted a paper for which I designed a suite of software (which would have made Rube Goldberg shudder) which generated model files for over 60,000 simulations, ran them, then processed and collated the data. Why did I do this? To prove that my deterministic model was robust with respect to changes in it’s 135 parameters which were all approximated with little to no empirical data to back them up. The issues you raise all have solutions—I know this because it is what I do.

    ‘Robustness’ is a technical term here, not just an adjective: It is a measure of how much a solution will change in response to wild outliers, data errors (or noise) or additional data. If one is computing parameters to functions, and a 5% change to some parameter changes an answer by 25%, or removing 5% of the data perturbs the parameters by 25%, the solution is not robust.

    Removing the italicized phrase, this statement is roughly correct (though poorly stated). The italicized phrase, however, makes no sense. You choose the parameters, run the model, and generate the data, not the other way around. Wikipedia does a much better job:

    Robustness is defined as “the ability of a [system] to resist change without adapting its initial stable configuration”

    This is exactly what I showed in my model.

    IMO most of business is an exercise in managing risk and playing the odds; and a clear applied understanding of a handful of important distributions would be more useful than calculus.

    Calculus is the foundation on which much of higher mathematics is built. If you want to solve real world business problems with math (which I’m betting my career on my being able to do), then you are going to need calculus just like a painter needs brushes and paint.

    Calculus has value in how it informs statistics.

    And a myriad of other ways—most of which, in my experience, are more important (not that understanding statistics isn’t important).

    But I think if I were to choose a math to teach business people, it would be Robust Statistics,

    If someone doesn’t have the critical thinking that is (or should be) learned by many in their calc classes along with a solid foundation in probability and statistics (which requires calculus, by the way…) then they are probably not going to be able to learn “Robust Statistics” in any useful way (my opinion).

    because it provides knowledge of a tool that is actually useful in everyday business, and in teaching it we could highlight many of the shortcomings of standard statistics.

    You can give a farmer a Stradivarius, but it doesn’t make him a concert violinist. You are suggesting building a skyscraper on a foundation of sand—it just wont work.

    I think both of those ideas are useful posters to keep on the wall of the business mind.

    And I think that people in business are better off understanding the basics (so they have some understanding of what can be done—not how to do it) and hiring someone (like me 😉 ) to “do the math”.

    Tony,

    I’m sorry if this comes across as snotty, but you stepped all over my profession (applied mathematics) and, in my opinion, got most of it wrong. It might be virtual instead of physical, but a corollary of my friend’s version of Clarke’s law would be: Sufficiently advanced mathematics are magic.

    Which suggests the following paraphrase…

    Do not meddle in the affairs of mathematicians, for they are subtle and quick to anger.

  16. Something every voter should read:

    The 2012 Election – My Attempt to Be a Responsible Voter

    Excerpt:

    In the interest of full disclosure, I will say that before tonight’s info-fest I was an Obama supporter and I still am after everything I’ve read. I will also say that I never hated the Republican Party and especially not its candidates. The main purpose of all this research and reading was to make sure I wasn’t missing anything and tofocus on the actual issues, not propaganda, to ensure that I make a sound decision on election day that isn’t based on just a single issue that the parties disagree on.

  17. SoTB,I’ve seen Syriana and know it was based on facts, though with dramatic license. In a Clooney vein “Men Who Stare at Goats” also had a basis in reality, but was nowhere as adept in execution as the former.

    As far as Turing being gay it really is irrelevent to his greatness, but it is of interest only in how much the homophobia of his time stifled even greater successes. Otherwise who cares what anyones sexual preferences are as long as they’re not pursued predatorially?

    One other thing though, it makes me uncomfortable to be called Dr., even as a complement. I merely have a Masters with Post Masters institute training as a psychotherapist. Slarti is a Dr. as is OS, who is far more qualified than myself in the field of psychology. That’s not to say that I’m not really terrific, I am, so I don’t need the honoraria to puff my already inflated ego up. 🙂

  18. @All – Earlier I said: “Regarding the POTUS’ [Obama] performance yesterday I concur with the analysis that he was suffering from a bout of soroche. It happens a lot in Denver with flat-landers from Chicago and DC.”

    I was trying to say he was suffering from AMS (acute mountain sickness) or altitude sickness. Denver I believe is 5,000 feet above sea level. He is not used to that altitude. Also it was his wedding anniversary and with a beautiful woman like Michelle would you rather be with Jim Lehrer and Mit Romney? ugh! (LOL)

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