Wheel of (PI) Fortune January 13, 2015Posted by mareserinitatis in career, engineering, feminism, science.
Tags: academia, career, engineering, research, science, women in engineering, women in science
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I came across an article in Science from last summer discussing chances of being a PI. It included a calculator so that you could look at your various inputs (number of publications, first-author publications, etc.) and see what probability you have of becoming a PI. (I’m going to state the caveat that this probably is most accurate for biological sciences given that’s where the algorithm is presented, but I didn’t see that stated specifically.) Apparently, the dependency is most heavily weighted on two factors: number of first-author publications you have as well as highest number of citations on a first-author paper.
One interesting thing to note is that the chances of becoming a PI are better for men than women. When I was going through the various examples, it seemed like men generally had about a 12% better chance than women but it seemed to range from about 12% at the greatest and decreased with additional qualifications. The lowest difference I saw for people with the same qualifications was about 8%, but that was with the very highest qualifications.
Being of a somewhat practical bent, I decided to take this for a test run using both myself and my husband’s publication records. The thing that was a bit shocking for both of us is that the heavy weighting on first authors and citations on first author papers meant that, despite the fact that he has more publications than I do, my publication record actually is better in terms of chances at a PI than his. I have more first-author publications, and I also have more citations on one of my first-author papers. For most people who know us both professionally, I’m pretty sure that’s not what they would expect.
Despite my ‘better’ publication record, his chances at being a PI were still better than mine…by 8%. Given that delta seems to be close to the delta in general between men and women, it indicates to me that bias could be pretty significant factor in getting funding, especially early on in someone’s career when they’re low on some of those first-author publications.
Fortunately, I can happily write this off as a thought exercise given both of us have been PIs on our own projects. I’m glad I didn’t know the odds going in, however.
Stop telling boys to go into STEM December 18, 2014Posted by mareserinitatis in education, engineering, feminism, science, teaching.
Tags: engineering, feminism, math, science, sexism, stem, stereotypes, students, women in engineering, women in science
Stereotyping is always a bad thing, and most people don’t realize that men suffer just as badly from stereotypes as women.
Let’s look at science: there has been a ton of work going into how to attract girls and women into scientific endeavors, particularly those that are very math-intensive. Much of the discussion centers on countering two issues: the first is the societal expectations that women go into ‘caring’ professions like teaching and nursing and the second is the stereotype that men are better at math. There is nothing wrong with these efforts, but there’s a flip side to this stereotype that has a negative impact on men: there are a lot of men who go into STEM fields (probably engineering moreso than science) that probably don’t belong there.
Lest you think I’m just being negative toward men, this is actually something a man told me. I had an English professor who was one of the best college teachers I’d had, I think in part because he was very knowledgeable in science. In fact, he’d received a degree in engineering from Stanford but then shuffled around for several years before finally getting a master’s degree in English. During one conversation, I asked him why he got a degree in engineering when he really loved literature.
There’s a strong expectation that if you’re a smart boy who’s good at math, you’re going to go into engineering. That’s what everyone expected, so that’s what I did.
During the course of my teaching career, I’ve seen a lot of this. I like to have students write me an introductory essay so that I can learn more about them and what they were hoping to learn from the class. Many of them reiterated almost exactly what my professor said: “I went into engineering because I was told it was a good career for someone with good math skills.”
I’m not saying it’s not a good career for someone with math skills of either gender. However, making a career choice should not be an either/or proposition based on problem-solving ability (lots of careers use that), and people are multi-faceted. People can be good at math as well as art, literature, music, biology, communication, caring for others, etc. Just because you’re good at something doesn’t mean that’s what your calling is nor necessarily where you should focus your energy.
While the majority of my best students were men, strictly as a result of the skewed sex ratio in my classes, the women were almost always in the top 20% of the class. None of them were there simply because they were good at math: they almost always really wanted to be an engineer. However, the least engaged students were always men: a lot of them were there because they hadn’t found their passion and felt they had to do something. Engineering was it.
The flip side of the ‘men are good at math’ stereotype is that many of them go into it even when they would be much better off doing something else. They’re discouraged from pursuing more ‘feminine’ careers and made to feel like failures if they don’t enjoy it.
So do the boys a favor: if they’re not sure where they want to go, don’t make engineering the default answer even if they are good at math.
How to fail as a skeptic December 16, 2014Posted by mareserinitatis in religion, science, societal commentary.
Tags: atheism, research, science, skepticism
A few months ago, I wrote about my experience attending an atheist meeting. If you don’t want to read it, I basically spent most of the time dealing with an argumentative jerk. On the other hand, I expected that going in.
Part of the reason I expected that is because there is a large amount of cross-over between the atheist and skeptic community, and I’m slightly more familiar with the skeptic community. My husband has been a member of CSI before it was called that, and we regularly get into conversations about articles we read in Skeptical Inquirer. I also used to follow a lot of skeptical bloggers. Frankly, the more I read and interact with skeptics, the less impressed I am.
My latest interaction with a skeptic just reinforced much of what I already felt (and commented on at the atheist meeting). There is a sense among most skeptics that they are well-educated and rational and therefore whatever they happen to believe MUST hold up under scientific scrutiny, whether or not those facts have actually been researched. If you come across one who has done the research, it’s likely they’ve done it in a way that has fallen victim to massive amounts of confirmation bias: choose the studies you like and discredit the ones you don’t. Many atheists and skeptics don’t realize that confirmation bias occurs regardless of IQ and therefore they are just as prone to it as the folks they like to condemn as stupid.
If you try to argue the actual studies and data, you get responses like this:
Sounds like you only want to make certain subjects taboo–perhaps for personal reasons. That’s not a scientific attitude. So please take your ideological attitude elsewhere. And your bald opinions carry no credibility.
I am particularly amused when such comments come from non-scientists.
The quote above comes from someone who writes for Skeptical Inquirer, and while it wasn’t aimed at me, it was directed at someone who has better scientific credentials than the person who wrote that comment. In another conversation with this person, similar comments were directed at me.
The crux of the matter is that this person simply would not hear any interpretations of data other than the one they wanted to. I’m sorry, but that’s not skepticism. Questioning data (on both sides) is a useful exercise to help you understand the limitations of such data, and it’s good to understand where data is useful and not. However, being a skeptic does not mean you can throw it out if you don’t like it. That means you’re a denier, even if you do have some scientific evidence for your viewpoint.
It’s interesting that CSI recently posted an article complaining about how the media misuses the term skeptic when it really means denier. (Deniers are not Skeptics) I agree with the sentiment, it also is a bit ironic because so many of the people I’ve interacted with really are better described as deniers.
One of the hallmarks of scientific thinking is supposed to be comfort with ambiguity. It’s learning to say that one cannot extrapolate beyond the data one has, and drawing large-scale conclusions based on a handful of studies is really not scientific. I’m not talking about things like climate science which has been extensively studied for decades and has a wealth of data (and believe me, I get frustrated enough myself dealing with deniers on that topic): I’m talking about a lot of other topics which have not been as extensively studied and suffer from shifting understanding. Taking studies from even 20 years ago can be problematic in some areas because the basic assumptions and approaches may have shifted as new data comes out. And in a lot of areas, particularly with those dealing with people, studies may not always have data giving a clear and decisive answer to one view or another. (Confirmation bias can also mean that people will take ambiguous data as backing their own viewpoint.)
This lack of comfort with ambiguity and the notion that one’s reasoning trumps the data means that having a conversation with these folks is more like a wrestling match: it’s not really a discussion or exchange of ideas but an argument where there is a winner or a loser. Any one who tries to recognize nuance in the data or discrepancies is said to have lost the argument or not understand science and how it works. Frankly, I’ve had more fruitful conversations with fundamentalists.
If you want to call yourself a skeptic, that’s fine. But if you use it as a bludgeon to convince yourself and everyone around you that your view is always right…well, don’t be surprised if I’m a little skeptical.
Biased for science December 10, 2014Posted by mareserinitatis in feminism, geophysics, math, physics, science, societal commentary.
Tags: bias, feminism, gender equity, iat, science, women in engineering, women in science
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I’ve taken a couple tests at Project Implicit. The premise is that we have unconscious biases that may unknowingly affect decisions we make about other people. I remembered this after coming across an article on race from the Washington Post. I’d taken a test before that said I had a bias against blacks. I’m owning up to it, but now that I’m aware of it, I try to recognize it’s there when making decisions.
I revisited the site to see if I could retake the test and if my results had changed, but I was distracted by the shiny things. In particular, I saw there was a test on the subconscious preference to associate science with male and liberal arts with female. Given the studies about how labs hire women less often and there is a subtle bias in salary, as well, I thought, “this could be interesting.”
And it was. I was expecting to show a rather strong relationship between men and science. Not only is that the most common association, but it seems like working in a male-dominated field would make that a no-brainer.
Your data suggest a moderate association of Female with Science and Male with Liberal Arts…
I’m one of the 3% who took the test who has that association. If what I read in the Washington Post article applies to this study, most of the people taking this test are younger, more liberal, and more female than the average population, so the test may actually mean that the 10% who associate females with science is actually an overestimate.
Why do I have that association, particularly working in the field I do? (I feel a bullet list coming on.)
Some potential ideas:
- Being a female scientist is a very strong part of my identity, so I would naturally equate the two. While at first guess, I would think this would be a no-brainer, the studies I cited above seem to indicate that’s not the case for most women scientists.
- I have a lot of female friends that are also scientists. As an undergrad, I was the only female physics major, but I made friends with a lot of female math, engineering, and physics and math education majors. In my MS program, I spent a lot of time with other women engineering students, the handful I could find. Going to a grad program (in earth sciences) means I was in a program with near gender-parity among the students. Through the beauty of the internet, I’ve also made friends with other women scientists. I think I’m likely to “see” more women in science than the average person…or even the average scientist. “Women in science” isn’t a token female here or there but an actual sizable demographic in my world. I think that this sort of exposure has probably had the most profound effect on my biases.
- I know a lot of men who are interested in liberal arts. Probably the most strongly influential one is older son, who is very much into drawing and writing. I spend a lot of time with him, so that also probably affects my perceptions.
I’m curious how others fare on this test as well as their analysis of their own results.
Yo mama is SO stupid she can’t explain plate tectonics! December 4, 2014Posted by mareserinitatis in education, feminism, science, societal commentary, teaching.
Tags: children, communication, feminism, science, science education, sexism
When selling something or conveying information, particularly when it is technical, one wants to make it easy and understandable. Unfortunately, one of the most common approaches I’ve seen is to say one needs to make it easy enough for an older woman to understand, particularly a mother or grandmother. One example of this issue was the IEEE article posted about the making of the Arduino that was erroneously titled, “With the Arduino, Now Even Your Mom Can Program.” They corrected it and apologized.
Last week, I came across another one about having a “grandmother talk.” Once people got upset about the sexist trope, the author changed it. However, it was more out of frustration because people weren’t paying attention to his main point about communication. (Note: if you piss off half of your audience with your title, chances are your communication may weak in certain areas.)
I don’t understand why they don’t just come out and title these things as such:
Yo mama is so stupid she can’t program an Arduino
Yo nana is so stupid she can’t science
I don’t think anyone would intentionally pick on grandma, but they apparently do so without realizing it.
The problem with using this terminology is that it assumes older women have no interest or ability when it comes to technical or complex information. Frankly, I’m pretty sure that, with the right instructions, both my mother and grandmother could handle a lot of technical topics. Being older females, however, people often assume that they are too ignorant to really learn things in depth. But despite myriad counter examples, the stereotype still exists. Some women really have little interest and ability in science, but there are also many, many women who are exceptionally talented scientists and engineers.
I have not yet seen, however, what seems to me a much better analogy: the kid talk. What if your kids ask you questions and you have to simplify it to be developmentally appropriate or to meet the constraints of a limited attention span?
When I try to make things understandable to kids, I take the approach that there may be developmental challenges that they’re not ready to meet, such as a particular level of abstract reasoning. Perhaps they don’t yet have enough math to follow the technical details of a topic. There is also the reality that even the most mature five-year-old is not going to listen to me go on and on for hours about a particular topic, except perhaps Legos. The point of meeting them where they’re at is not because they are ignorant but because they’re inexperienced and uninformed. While I suppose a few would get offended at such a characterization, it also acknowledges that they’re capable of learning more once they’re a bit more mature or if they have a particular interest. It gives you some wiggle room, and you don’t have to stereotype anyone or be condescending.
I decided to put this into practice and once asked my older son to sit in on my classes. He would’ve been a year or two younger than most of the kids in the class, but being tall, he blended in very well. (It also helped that we don’t have the same last name.) I felt the information would be useful for him, but I also wanted to get his take on what parts were confusing or needed work. Beyond actually having a kid give you live feedback (because, let’s face it, they aren’t always available), it’s useful to even contemplate explaining concepts to kids.
There are a lot of marketing slogans to the effect of “so easy, a kid could do it,” but science and engineering communicators don’t generally seem to think this way. Part of the problem is that they don’t view children as a potential audience, even though I think they’re a rather important subset of most groups. I’m not saying you have to communicate on the level of a four-year-old, but an educated and curious 14-year-old will get you a long way. I wonder if science would be more interesting if we saw these kids as our intended audience in most communication ventures. At the very least, I’m sure there’d be more jokes.
The #ShirtStorm and Its Double Standard November 18, 2014Posted by mareserinitatis in feminism, research, science.
Tags: #shirtstorm, feminism, matt taylor, misogyny, philae, sexism
I was a bit distracted and didn’t notice Matt Taylor’s shirt until today. Now that I have seen it and thought about it, I’d like to say that I think the people who are upset are wrong. Here’s why:
- How many women get picked on because of the clothes they wear or how they do their hair? If you missed it, this happens all the time while men get a free pass. We usually say that making commentary on women’s attire is a crappy thing to do…so how come we’re doing it to a guy? Treating a guy the way a woman normally is treated doesn’t make it okay…it means we shouldn’t be doing it to anyone! I seriously would love to wear a similarly styled shirt with Wonder Woman on it…but I know I shouldn’t because I would be judged very harshly. Why can’t we make it okay for everyone?
- Most people I know believe that women should be allowed to wear whatever they want without being sexualized. How many of those same people don’t like the shirt because the drawings are revealing? Is a woman’s body supposed to be sexualized or not? (That being said, anyone who thinks it was okay for him to wear that shirt, particularly if they’re defending it as “nerd culture” but expect women to dress or not dress certain ways is just as bad as the other side.)
- If a woman should be allowed to wear what she wants without having conclusions drawn about her, why is it okay to draw conclusions that the guy wearing that shirt is inherently misogynist?
- Why should scientists be held to a different standard of dress? I keep seeing this business about how scientists ought to dress more professionally. Says who? Scientists don’t need dress codes any more than high school students do. Scientists already have an image problem: people think of us as stuffy people who always wear lab coats. I’m glad someone was excited and NOT being boring. Science is cool stuff!
I do realize that much of the upset may be the power dynamic in STEM fields: there are far more men than women, and women are so very often not taken seriously. There is also the potential that something like this could be used to make women feel uncomfortable. (I don’t get the sense that this was the case, however, but I see the potential for it going wrong.) Ideally, one of his colleagues might have been kind enough to point out that some people may take the shirt the wrong way. As that didn’t happen, however, I don’t think the answer is to apply a set of standards to men when we are already complaining that they are unfair to women. Likewise, I hope that all the folks defending him aren’t ever going to turn around and accuse a woman of dressing inappropriately.
Personally Matt, I wasn’t crazy about the shirt. Like I said, I prefer Wonder Woman.
Someone was stupid on the internet November 16, 2014Posted by mareserinitatis in engineering, feminism, math, science, societal commentary.
Tags: communication, denial, engineering, privilege, science, sexism
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See more on Know Your Meme
Even though I am a woman who is working as an engineer at an academic institution, I have no ability or authority to discuss anything having to do with women in hard sciences.
Totally reasonable, right?
The person who told me this is a man who works in sports medicine. During the course of the conversation on what causes low rates of women in hard science/engineering fields, I brought up “male privilege.” I even went so far as to say that it benefits men to ignore this privilege because it keeps it in place. The response to even mentioning such a thing meant I was a conspiracy theorist. I obviously am incapable of discussing the issues women face in science because I believe in male privilege. Despite the fact that I was the one posting links to actual studies to validate my claims (using studies discussed in Nature and Scientific American), I obviously am incapable of understanding the issues.
I was attempting to explain that while I don’t think most of this behavior is explicit (although I have definitely seen that, too), there is a lot implicit bias. As I said in my interview on the Engineering Commons, there is quite a bit of sexism that is a result of people simply not thinking about the advantages they have or the assumptions they make. That is the very definition of privilege. I don’t think most people wield it mean-spiritedly, but that doesn’t mean it doesn’t exist at all.
We were discussing a publication claiming that academic science isn’t sexist, a paper also discussed here. Let’s be honest: claiming hard sciences aren’t sexist is like saying that relativity (or any other major theory) is wrong. Not only that, it’s willful ignorance because there are so many studies out there to refute this notion.
The most irritating part of this discussion is that it should never have been about this issue at all. The discussion was in a forum designed to talk about science communication, and yet he initiated the conversation by claiming that the paper proved there is no sexism in academic science. There was no discussion about how to bring into account all the other data, how to most effectively communicate or discuss the result, or even about public response to news about this paper. Instead, this person used the forum as a bully pulpit for his own viewpoint, ignoring contradicting data and viewpoints. If this is how science communicators approach studies to begin with, it’s no wonder the public has a hard time understanding and interpreting these same studies. If the communicators don’t understand the science within the larger context, they certainly aren’t going to do a good job explaining it to the world at large.
Extra-dimensional conversations October 13, 2014Posted by mareserinitatis in physics, science, younger son.
Tags: alternative universes, calabi yau, dimensions, physics, spacetime, younger son
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The younger son occasionally has band lessons after school. Recently, I picked him up and he said that his band teacher hadn’t been in her office when he was supposed to have his lesson. The next comment surprised me.
You know, in an alternative universe, I forgot my instrument but she was in her office. And then there’s other universes where I had my instrument and she was in her office and others where I forgot my instrument AND she wasn’t in the office.
Apparently he has combinatorics licked.
I was somewhat surprised at this response, so I asked him what he knew about other universes.
Not much. I just know you use wormholes to get between them.
I responded that wormholes are supposed to transport you across time and space, but wasn’t sure if the strict physics definition allowed for travel outside of our universe.
Mom, wormholes transport you across dimensions!
This made me wonder if he knew about M-theory. When I asked him what he knew about higher dimensions, he said,
Well, they’re really similar. But after a short time, you notice differences.
I was confused, but he continued.
And some dimensions have aliens and some don’t.
Ah! His definition of higher dimensions was basically an alternate universe. He was working with the ‘sci-fi definition.’ I needed to change terminology, as we obviously were discussing two different things with the same word, so I said the world we live in has three spatial dimensions and time as the fourth dimension.
Time is a dimension?!
He understood and explained the concept of two dimensional space and then three dimensional space, but he was perplexed about time as a dimension. My explanation was that you can move through time, but only forward. With the spatial dimensions, you can move forward and backward, left and right.
I think I blew his mind at that point, so I figured we’d drop it and move on to Calabi Yau spaces another time. In the meantime, I’m trying to decide if I should introduce him to Abbot’s Flatland.
Fungible funding September 3, 2014Posted by mareserinitatis in engineering, research, science.
Tags: engineering, funding, science, science funding
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I was reading a discussion the other day on funding sources when it occurred to me that I’ve made a big switch on the topic. I used to think that industry funded research was *always* bad, *always* biased.
I guess being in engineering has changed my view considerably. A lot of engineering work is funded by industry, and this is a good thing. First, it means that the research actually has a chance of getting used. Second, it is helpful to the majority of researchers that are likely unable to get any funding from large governmental funding agencies.
In engineering, a lot of the conferences I’ve gone to have had large numbers of researchers from industry. (In a couple sub-fields I’m involved in, *most* of the people come from industry.) Those fields are the “too applied for NSF” type work that is still rather interesting and useful. Without companies funding some of their own research, they probably wouldn’t be going anywhere.
Despite my great appreciation of the system we have for government funding, it is still very limited. And even when things are funded, I’m not sure how many of these concepts actually make it to industry.
Now, looking at science from this engineering-informed background, I’m not as suspicious about industry-funded projects. Admittedly, science has a different approach than engineering, but I wonder how many areas are being underfunded. There are far more good ideas and questions to be answered than funding available. Is it better to let a question sit unanswered or to try to work with an industry partner to do some type of study? Just about every university will have a conflict-of-interest policy. While these aren’t bulletproof, I would assume they’re going to hit some of the basics. And maybe, just maybe, researchers really want to find the answers to their questions no matter how they get the funding.
That isn’t to say we shouldn’t be skeptical when research is funded by industry…but neither should we just write it off as biased.
Never ask a woman her weight…but her kinetic energy is fine August 2, 2014Posted by mareserinitatis in math, physics, running, science.
Tags: blerch, gravitation, kinetic energy, mass, physics, runners, running, science, velocity
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Today, I had one of the most awesome runs I’ve ever had. In particular, I sustained a much faster pace than I have over a 3 mile distance.
I couldn’t help but wonder, however, about the factor weight plays in one’s speed. As much as I try not to worry about weight and focus on being healthy, there’s this part of me that thinks it would be cool to lose a bit of weight because then I would go SO MUCH FASTER. Or at least that’s what I tell myself. However, I wondered if maybe I was exaggerating a bit, so I decided to check it out.
While it’s a bit of an oversimplification (that doesn’t take into account muscle tone, lung capacity, hydration, electrolyte levels, altitude adjustment, and the 18 bazillion other things that can affect a runner, even as stupid as that kink that’s still in your neck from last Thursday’s swim (okay, that only affects the triathletes here)), a quick check is to use the kinetic energy equation.
First, of course, we have to assume a perfectly spherical runner. Or a Blerch:
(As an aside, if you don’t know what the Blerch is, you must check out the Oatmeal’s wonderful cartoon on running. We all have a Blerch deep inside of us.) Either way, perfectly spherical things are happy for physicists because of all the lovely simplifications we can use in learning about them. So, if you’re a perfectly spherical runner, remember that physicists will love you.
Anyway, our hypothetical runner will have a mass (m), which is, of course, directly proportional to weight. (Weight, of course, is also referred to as gravitational attraction, so the more you have of it, the more attractive you are, at least from the perspective of the planetary body you’re closest to. Also, it may start to be more attracted to you if your velocity starts to approach the speed of light. Maybe this is why many humans also find runners attractive? Not sure.) The unit of mass is the kilogram. The runner will also have to maintain an average
speed velocity (v), and of course your pace is inversely proportional to your velocity. Your velocity is probably measured in miles per hour by your local race, but since we’re being scientific, we could also use SI units of meters/second. That being said, if you double your speed in one unit, it will also double in the other. There’s nothing fancy that happens because you’re using one unit or the other.
The kinetic energy of our runner, assuming an average velocity, can be written as
(1) KE=½ mv2
If we have the kinetic energy and mass, but want to find out the velocity, we first divide both sides of the equation by the mass and then take the square root of both sides. This leaves us with the following result:
(2) v=√(2 KE/m)
Let’s take an example. If we have a runner who has a velocity of 5 mph (or 2.2352 m/s) and a weight of 140 lbs. (or 63.5 kg). If we use SI units to compute this runner’s velocity, it turns out her initial kinetic energy (KEi) is 158.63 J.
On the other hand, we don’t really need to know how much initial kinetic energy the runner has, in terms of numbers. We can just define it as the quantity KEi. It turns out that physicists are kind of lazy about using numbers, so we’ll try to go without them because, in my opinion, it sort of confuses things. (You’ll see why later.)
How this this help us? Well, if you want to take a drastic example, let’s assume a runner loses half of her body weight.
First, let’s establish that her initial kinetic energy is defined also by an initial mass mi and velocity vi. (These would be the same as the 5 mph and 140 lbs. above.) This means her initial kinetic energy can be written as
(3) KEi=½ mivi2
and her initial velocity would therefore be
(4) vi=√(2 KEi/mi).
If her weight drops by half, we can write this as her initial weight divided by 2:
If we put (5) into our velocity equation (2) as our new mass and keep the same initial kinetic energy, we get
(6) vnew=√(2 KEi/m)=√(2 KEi/(mi/2))=√2*(2 KEi/(mi))=√2√(2 KEi/(mi))
You can see that the last part in six is basically the square root of two times our initial velocity from (3). That means that by losing half her weight, our runner would run about 1.4 times as fast, or 40% faster.
Now what if she only loses 10% of her weight? It turns out that (5) would become
so our new velocity would be the initial velocity times the square root of 1.1, which is about 1.05. Losing 10% of her weight only makes her 5% faster.
After spending time looking at this, I decided that going on a massive diet definitely isn’t going to help me speed up significantly. (In fact, if I manage to go from my current weight to my ideal, I would maybe get a gain of a bit over 1/2 mph.) It’s the fact that the mass doesn’t play as strong a role as velocity does because velocity gets squared and mass doesn’t. If you want to go faster, you are better off practicing running faster.
So please pass the ice cream! I need it for my fartlek recovery.