Section 003, Instructor: Laurel Miller

Weekly Question #2: Complete by September 15, 2016

Leave your response as a comment on this post by the beginning of class on September 15, 2016. Remember, it only needs to be three or four sentences. For these weekly questions, I’m mainly interested in your opinions, not so much particular “facts” from the class!

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Here is the question (well, it’s not really a question):

Find a online article dated within last two weeks from a credible source that has something to do with data. It can be about the role of data or an interesting data-driven analysis. It should also be relevant to your major and of interest to you. Copy and paste the URL directly into your response followed by a few sentences that explain what is interesting about it.

You can use any of the sources under the “Great Data Sites” menu on the right sidebar of this page, or you can use any online news or magazine site.

57 Responses to Weekly Question #2: Complete by September 15, 2016

  • My article was from Business Insider. It was about how Amazon is using real-time cloud data analysis which will allow developers to use standard SQL queries to further analyze the data being streamed and increase their flexibility. It will also make it easier than having to learn new languages or software development kits. I found this article to be interesting because technology is something I enjoy reading about and want to pursue a career in.

  • The article I found interesting is titled “How Do Businesses Make Money Using Quantitative Analysis?” by Melissa Page. One of the interesting things stated in the article was that the higher the amount of time consumers spend browsing through the internet, the more information businesses get about the kinds of products consumers prefer to purchase. Little wonder then that the type of items which pop up as ads are the same or similar to items we desire. Also, the availability of data isn’t sufficient to aid the profit making of a company. In addition to the data, companies need more skilled quantitative analysts to convert consumer information into profit. Also, I love the fact that Southern New Hampshire University is offering an MBA in certain courses that would equip individuals in business with the knowledge they need.

  • One article that I found interesting is from CNN Money and is titled, “The grocery shopping app for the 99%” by Sara O’Brien. This article explains how the new grocery shopping app Basket was designed to compare grocery prices and suggest stores within the users radius that will save them the most money. The article details how the start up collected their data through crowdsourcing, and how the app continues to add SKU #s on a daily basis. This article caught my attention because it is similar to what we discussed in class about turning data into useful, public information like an app.

  • The piece I found was on how the Mercy Virtual Care program is cutting health care costs by allowing senior citizens to use iPads in place of doctor visits. One man featured suffers from heart disease, which costs the US $358 billion a year in hospital fees; typically 5% of patients are responsible for about half the healthcare spent. The care program uses surveys to collect qualitative and quantitative data, as well as virtual conferences between patients and caretakers. Analysts collect the data, analyze vital signs, and report the data back to the patient’s doctor. The program keeps patients healthy and reduces hospital costs by preventing visits to the emergency room by about 1/3.

  • This article from FiveThirtyEight is gives the details of which team can win the AFC North. There are numbers and stats analyzed for each team (Pittsburgh Steelers, Cincinnati Bengals, Baltimore Ravens, and Cleveland Browns), in which we can use to predict which team is the most likely to win the AFC North division. The win-losses, point differentials against opponents, and the strength of schedule are all analyzed to make a “proper prediction”. In the end, the article seems to highly doubt the Cleveland Browns as their stats are no where near satisfying, hence the article title “Anyone Could Win The AFC North – Except The Browns”. As football season opens this week, it was an interesting article as it gave data for each team to predict the likeliest winner of that division.

  • As the age of traditional television evolves into the Netflix, Hulu, and Video On Demand era we have been participating in for years, many IT and production companies also stress the importance of big data. Big data comes in the form of viewer statistics, which powers companies to know what their audience wants. We see part of this with, for example, the star ratings on Netflix shows and movies. Big data comes in the form of HD video files for listing content in an organized manner to the customers of online streaming services. What big data leads to consists of solutions ranging from building larger and more efficient servers to marketing advertisements correctly.

  • I mean, what isn’t interesting about all national food days? It’s a great example of sorting data and interesting infographic which is also interactive with html, css, and javascript “hover-cover” commands. I found this data to be highly valuable to those who ask the infamous question of “what should I eat today” to– “oh it’s National _____ day! Now I have an excuse to humbly eat this food!”


    The three articles above are all about an app called WhatsApp and how they plan to disclose private information/data to Facebook. As a background, Facebook purchased WhatsApp in 2014 and now they are planning to share user phone numbers as well as analytics data. This is pretty significant because it raises privacy concerns especially in this age of digital privacy. Facebook is plans to analyze the data to understand how people use the service, better fight spam, and make friend suggestions. Also, WhatsApp used to be known as an app that would allow users to communicate while knowing as little about you as possible. This changes with the recent disclosure of data to Facebook and there is a backlash from their users because WhatsApp’s intentions were to keep their user’s data private. The entire scenario is quite interesting due to the fact that private information is now being shared for their business goals rather than their initial agreement to keep their data private. The end users of WhatsApp are skeptical of these changes because they are concerned that their data could be misused. WhatsApp was known to offer better privacy practices but with this change, there is no guarantee that their data will be protected. It’s a particularly interesting topic for me because I personally use the app to communicate when I work in large groups on projects. It’s a security concern of data for me and when I signed up for the app, I didn’t sign up for Facebook.


    The article I choose is a collection of data about what is the appropriate wedding gift. As someone in her mid 20’s wedding gifts play a big part in my financial planing. I have many friends who are getting married in the upcoming year, but as I recently moved to the U.S. I am not sure what is the appropriate gift. This article sums up an average wedding gift depending on the type of a relationship you share with the couple, how many people are in your party, and more. It is very helpful, especially for my when culture differences play a part in my case.


    I found this article really interesting since payments field is becoming well-known today. You can easily pay using your mobile phone (mobile wallets) at most stores. Mobile pay definitely is a contributing factor to easier lifestyles. There is no need to run to an ATM, or even having to remember whether or not you brought your debit/credit card with you when you are headed to make a purchase. If mobile payment methods become global, then traveling will definitely be made much easier. This article talks about a payment system in India that is planning on going international since it was a success in India. There are other players within the mobile payment field, such as PayPal, and Venmo. The company, Mosambee, does not seem to be threatened by these companies since they are focusing on different ways to target customers, and having cost-efficient ways to work with other leaders in the industry. This article caught my eye since it definitely does tie to my major, finance, and I do consider working for a leading payment company upon graduation.

  • My article is titled “Anyone Could Win the AFC North – Except the Browns.” I found this article interesting, because who doesn’t love football? But, most importantly who doesn’t love the Steelers? The article talks about the chances of every team in the AFC North possibly winning the division, and who may not win. The author looked at season statistics relating to each team, and why and how it was likely/ not likely to win or even win the Super Bowl.

  • My article relates specifically to Real Estate. I found this article very helpful in understanding how big data correlates into the real estate market. Other than understanding that big data is used to search for a new home. More data goes into the process like finding out what communities to begin new projects in with the managing processes to understanding the community all with the help of big data. Also given that the financial process pulls data from sources to give an accurate fair price, agents and buyers are able to make informed decisions.

  • I found this article about how St. Louis might be the new startup frontier. This article is interesting because not a lot of people would think about opening a new business in St. Louis. However, the city shows significant progress in promoting entrepreneurship as “in just five years, St. Louis rolled back 15 years of decline in its local startup rate” (Casselman). Despite the city’s efforts, it is difficult to measure the effects of this change due to the lack of data on entrepreneurship. If the government has a better set of data on this issue, cities like St. Louis can use the data to determine what they need to do in order to promote start up companies in their area.

  • I found this article about how Chicago is installing computers on traffic poles to track air quality and traffic. This article is interesting to me because its amazing how far technology has come and what types of data they are able to collect. The data collected from these computers will be able to say if the air quality is strong or poor in certain areas. This type of data could help save and prolong lives if researches are able to see where the poor air quality is and do something about it. Also, it will show where traffic is and why, with this information they could help traffic routes and maybe start to eliminate traffic in some areas.

  • The article that I found was entitled “Who’s Crunching the Data?”. The article cites Professor Scott Nestler, of Notre Dame University, he explains that the quality of data that is given is a representation of the person gathering and analyzing the data. Furthermore, if you find someone who is trained in that specific field that are more likely to have accurate and trustworthy information. This article was extremely interesting because it explained that not all information that one see’s on the web is truthful and accurate.

  • The article I found is about how the use of data can be used to track the busyness of train stations, in this case in London, England. The article says that tracks each riders data based on where they go, as compared to how they used to do which was where they got on and off. This new data that they are using is being organized to show where train stations are at their peak times and when they are quiet. I was interesting to me because I take the train home occasionally and if you could tell when its going to be mayhem on the platform or when you’re going to be the only one there could really come in handy.

  • I was struggling to find an article that tied into my major and interests. I found a lot that looked interesting on Financial Times Data Blog, however they wouldn’t allow me to open them without paying for a subscription. I eventually came across this article which shows you the amount of finances spent, by committees and campaigns, on recent political campaigns. My major is accounting so I was trying to find something with finances. With the upcoming presidential election I found this to be interesting to me to be able to see first hand the amount candidates, etc. are spending on their campaign.

  • The article I found was from the Philadelphia Inquirer titled “Getting Away with Murder” by Caitlin McCabe and Grace Toohey. I took interest in the article first from its title because it related to my major, criminal justice, but it also contains shocking facts about the murder ratings in Chester, PA. The article talks about this increased rates of violent crimes over the years and comparisons to the rates of murders in Chester compared to other cities. It also shows the comparisons of race/gender of the murders and the victims.

  • I found the article, “Airbnb Probably Isn’t Driving Rents Up Much, At Least Not Yet,” to be interesting because it uses data to analyze whether or not Airbnb rentals effect increasing rent rates. I also thought it was interesting that Airbnb withholds data about bookings and other features of their service from the general public. It was determined that Airbnb is most likely not immediately impacting the cost of rent, but the withheld data may provoke a different conclusion.

  • The article that I found is titled “Who’s Crunching the Data?” I am an accounting major, so this article caught my eye. It talks about a recent survey from KPMG that found that a good amount of chief executives are not completely satisfied with the data that they receive. They cannot fully rely upon this data. Only 33 percent of those that were surveyed are able to confidently trust in their data. 77 percent of those surveyed are hesitant about the data that they receive. I believe that this number of unsatisfied executives is a true concern because data is used as a basis of financial and operational decision making. The article also discusses the importance of data analysts having a CAP certification. I believe that companies are able to trust in those with CAP certifications because they are professionals in their field. This holds true for accounting as well, as CPAs are generally trusted more with financial statements because of their qualifications.

  • The article that I read from google news basically gives a bunch of data towards U.S. online hotel room rates are growth 0.9% compared with last year. And provides hotel market forecast as well. The article shows that the average Trivago online room rate in New York hit $407 a night, although it has dropped from a year ago, but the New York still making the most expensive destination among the top-25 U.S. hotel markets. I was interesting to because its related to my future career, and I definitely believe that the data and data analysis are essential for both hospitality industry and customers, because data can dramatically change the industries that how they run the business.

  • The article I chose was “Uber’s Self Driving Cars Debut in Pittsburgh” I chose this article because I use Uber to get around Philadelphia and it would be amazing if a computer was my driver in the next few years. They are trying these Uber’s in Pittsburgh as a test to see how these cars will work in the real world. Uber as a company used their data to see what area’s they can test these cars, how to make their company more efficient with less drivers saying more money. Even though it does have some flaws like not turning right on red lights or trying to drive past a car that isn’t moving when the cars are trained to stay in their lane, I hope it works well so in the near future these Uber cars will be everywhere.


    The article I found of FiveThirtyEight was actually written by an assistant professor here at Temple named Doug Webber. He attempted to pinpoint the main reason(s) for the rising cost of tuition. This was definitely interesting to me because as a finance major, analyzing why the price of a good or service changes is always of interest. Additionally, as a college student, the rising cost of tuition is definitely relevant to me, especially in this case because the article is being written by a professor from my school. Using data comparing the drop in state funding to the growth of enrollment and tuition, Webber comes to the conclusion that legislators declining interest in funding state schools is primarily to blame for rises in tuition since 2000, rather than improved student amenities which are a common suspect.

    The article that I found at Flowing Data’s site was about the selling of firearms’ locations and how that compared to other popular food/drink chain’s locations across the country. I found this article interesting because especially living in the city I see a Starbuck’s or McDonald’s at nearly every other corner. And although I hear of shootings on the daily and know how accessible firearms are to the public, I was still shocked about the results. It was only until the author compiled all the data from burgers, pizza, and coffee locations instead of individually that there was a noticeable difference in the charts he provided.

    The Article I selected from the sight “FiveThirtyEight” pertained to welfare spending. It begins by explaining how when Bill Clinton signed a law that changed welfare from a national to a state matter, the money has began going other places than directly to the poor. Along with showing where certain money is allocated instead of going to the poor, it shows many different variables from each state. These variables are what their total welfare spending is, what percentage of that is cash assistance, and how much falls into the “other” category. This data showed an interesting aspect of how welfare varies from state to state. A family with two children in the state of New York would recieve a monthly payment of $770 as opposed to Mississippi where the same family would receive a monthly payment of only $170. Another aspect of this article that I found remarkable yet upsetting was how in the past 20 years, the amount of families falling below 50% of the poverty line has risen.


    As a part of its latest apparel deal with the University of Michigan, Nike has the right to collect athletic data from football players’ wearable trackers. At the moment, this is limited to devices such as the Fitbit, but could eventually include clothing with imbedded sensors. Nike could have access to data that includes each athlete’s speed, heart rate, jump height, etc. This is a major concern for NCAA players who are concerned that Nike might share unfavorable performance data with outside sources such as NFL teams. Unlike the NFL, the NCAA has no powerful players’ association to prevent third-party data access.

    I found this article relevant because I accepted a full-time offer from PwC in its Assurance, aka Audit, practice. Accounting firms must see great value in data analytics since some of them are willing to spend millions of dollars to educate their employees in this area. Training is not mandatory, but having data analytics skills will set proactive employees apart from their colleagues, and employers will reward that. PwC always does.

  • This article is interesting to me because being an Actuarial Science major, I will be working in the insurance industry. This past summer I worked at MetLife which is a health and life insurance company, so I will be working for health insurance companies throughout my career. This article is interesting because it talks about how insurers can make Obamacare work through the help of Congress. Big health insurance companies are pulling away from selling insurance under ACA, but Congress can help this and this article talks about how they can do that.

    I found this article relevant because I accepted a full-time offer from PwC in its Assurance practice, aka Audit. Accounting firms must see great value in data analytics since some of them are willing to spend millions of dollars to educate their employees in this area. Training is not mandatory, but having data analytics skills will set proactive employees apart from their colleagues, and employers will reward that. PwC always does.

    This article is very interesting and relevant because it shows how important data really is and that measures should be taken to keep data secure. The article is about how a group of Russian hackers called “Fancy Bear” stole the medical records of a US athlete and released it to the public in hopes of ending that athlete’s career. Being an MIS major and working an intern at the Federal Reserve Bank (which is REALLY REALLY strict on their security), I learned that securing data is not very easy. There are many steps involved in securing data, and any step that is missed there will be a hacker who will try to go into your system and steal whatever data they can.

    I found this article in New York Times. “The most decisive evidence of improving fortunes is found in new census data released Tuesday showing that median household income rose a whopping 5.2 percent in 2015, to around $56,500.” This numbers are the data that shows middle class income is going up. Since I major in international business, it would help understand people’s wealth in countries. Also, this will numbers can help me understand people’s income situation in the location.

  • My article was about the attempts of large companies, such as Comcast and Verizon, and their desire to set data caps on broadband usage. Netflix is one of the largest oppositions to this idea as data caps could greatly impede their ability to provide their products to the public. Netflix’s primary business revolves around the usage of wifi; data caps limiting people on the amount of wifi they can use will cause Netflix to charge their customers more money as less people will be able to watch internet based television.

  • article is about an app that allows farmers to see what crops other farmer are harvesting within a 5 mile radius. the app gives farmers insight on what to farm and what not too. Having a surplus of crops would lead to waste. Knowing what to farm would help reduce surplus and also demand. This data will help improve the quality of crops that are being farmed and also keep the prices moderate because crops will be less in demand. Every farmer will know what they need to harvest


    This article is particularly interesting to me as a finance major because it discusses the consumer price index, in addition to the falling costs of a variety of different food sources. A lot of different analysis can be derived from this article and the data’s potential effects on consumer spending outside of grocery stories. Primarily consumers will now have additional money to spend on other forms of retail and leisure sectors leading to a boost of revenue. Additionally, this article could foreshadow difficult times for grocery chains and their employees as lower food cost will likely result in less revenue and income for these businesses.


    This article is related to my major and also has some data analysis. It talks about Billy Beane the
    Executive Vice President of the Oakland Athletics and how he used new marketing techniques and he analysis-ed his business with google. Not only it talks about Beane but also it teaches you how to keep track of your data and develop your plans.


    This article is about Netflix and how their subscriber satisfaction has increased despite a price increase. This is interesting because after a price increase (Netflix increased monthly plan to $9.99 from $7.99 a month), you would expect their satisfaction to go down. 94.5% (a 2% raise from the previous year) of Netflix subscribers are satisfied with their service and only 1% of subscribers are displeased. As an avid Netflix user, the price change did not really change my perspective of the company, however I definitely thought many would unsubscribe after the price increase.

    I found my article on fivethirtyeight’s website and found it very appealing because the website was easy to navigate–sometimes I find data can be tricky to locate and confusing to process, but this website made it very easy. My article “Election Update: Has Clinton’s ‘Bad Weekend’ Moved The Polls?” sparked my interest because my roommates and I were just discussing how we believe Hillary’s sudden illness could lead to a decline in her poll ratings because people could view her as weak or incapable. The data presented in the article was of interest because essentially it said all the polls have different results and it is difficult to truly determine if Hillary’s “bad weekend” truly had a causal effect on the decline in her polls or it is just part of the ups and downs of the campaign trail.

  • The article’s title is “Wall Street’s Insatiable Lust: Data, Data, Data”. It is from wall street journal, a very interesting report. It talked about wall street’s lust to data. No matter useful or useless, wall street wants all data they can get. That even create a new job called data hunter. This is a very interesting phenomenon. Wall street has great power to access plenty of resource and it payed a lot for data. This shows the importance of data and when we graduate, data will become even much more important.

  • The article I found is titled “Black Voters Are So Loyal That Their Issues Get Ignored” ( By reading this article and being a sociology major, I found it very interesting how this article explains that the votes of blacks in the US may not represent their political interest. It even bring ups this captured group theory, where a politicians focus is mainly on white swing voters rather than blacks voters and their issues are pushed aside. For an example they mentions how Donald Trump states that Hillary Clinton see black voters as votes and not as people who can improve their lives.

  • The article I found was on, titled, “Solving Practical Problems with Healthcare Analytics”. I am a risk management and insurance major here at Fox, and am concentrating my studies on employee benefits, so obviously healthcare is a huge part of the field that I am going into. This article explained how electronic health records (EHRs) are difficult to analyze in aggregate because most of the relevant information is in text-based case notes. Basically, it is difficult to compile a picture of a patients actual health status without combing through their records which is a very slow and expensive process. Using a program called Apixio, this process now doesn’t have to be this way. The program is able to convert the details within the EHRs into more useful data. This will allow providers to get a better idea of patient health, but also allow people in the risk management field to utlize data that has never been used before. This is a huge advancement in the pricing of healthcare products.


    The article I found was on FiveThirtyEight and titled, “Why Shouldn’t The Raiders Have Gone For 2?”. It’s interesting how data could sway a coach at the NFL to make a crucial decision. Last Sunday the Raiders played a close game against the Saints and after the Raiders scored with little time left, the coach had a decision to make. He had to decide whether to kick a field goal to go into overtime or go for the two point conversation for the win. He ultimately decided to go for the win, but if he looked at the data, his team had a better chance to win in overtime.The chances were 51% to 44%. That is a decent margin that if I were a coach I would take in consideration and I am interested to see how many coaches do so and utilize other data to make game time decisions.


    I thought this article was interesting. It discusses top colleges and how they are ranked. I would think it would be judged by just grades and the level of the courses offered. But it goes much more in depth than that. It talks more about what is offered to those attending. I think what struck me the most that they separated from different types of schools. I thought it would be everything together. However, they divide it up by private, public, liberal arts, etc. I think this makes for more concise data since you cannot compare every college with each other.

    This article was a very interesting read in regards to the new August jobs report in the U.S. It affirms the current status quo for the nation and provides data showing that our job growth and economy has been steadily improving over the last few years. There was other interesting data throughout the article such as average hourly earnings and unemployment rates.

  • The article I found is from FiveThirthyEight and its titled “Can a Candidate be Too Old To Run For President?” After the recent events of Hilary Clinton having to leave a 9/11 remembrance event due to illness, this question has been popping up in all media platforms. This article uses both Clinton’s and Trumps age to analyze life expectancy, and the risks factors for their respective ages. Also, it uses the ages of past U.S. Presidents and compares Trump and Clinton to them. According to the article, having a higher age can lead to more possible diseases and illnesses. Since Clinton is a woman, she has more life expectancy simply because women tend to live longer than men. This was interesting to me, because I have been very intrigued by this election, and have been following both candidates.

    The article I found that was interesting is titled “How Much Alcohol Americans Drink” by Nathan Yau. Immediately after reading the title I was interested to see how this data was broken down. The article uses the question of the average drinks consumed in the last 30 days and compares different races with both genders. I think because I am in college I was expecting the worst but the results were actually surprising. Though this doesn’t directly relate to my major, the relationship between alcohol and crime definitely correlates.

  • The article I found is from Forbes and is about using data analytics to improve your online marketing strategies. It compares doing this to what they do in baseball such as using stats like on base percentage to pick players instead of just how many hits they get. The article states that teams that did this got a huge advantage and performed a lot better, so in theory if marketers used data analytics like Google Adwords they would significantly increase their effectiveness of online marketing.

    I found this article interesting because it analysed tuition rise differently. Instead of the obvious possible reasons tuition has increase dramatically, Doug Webber looked at state funding. He discovered that, “…the decline in state support accounts for about three-quarters of the rising cost of college.” This was shocking to me.

  • The article I read for this assignment was found on My particular article was rather short and simple, but it divulged the findings of a study that determined what type of alcohol people from all over the world, drink most. The author used data from the findings of 181 different countries’ alcohol consumption and preference. The research found that 50% of people in the world drink beer, 33% drink spirits (liquor and hard alcohol), and the remaining 17% drink wine. These numbers were interesting to me, as I would have predicted spirits to be the most consumed type of alcohol throughout the world. The author did acknowledge that the findings were not 100% accurate, and that the data presented has glitches itself. Overall I found the article to provide interesting insight to the drinking preferences of the world.

    I found this article interesting because it relates to something I enjoy very much which is baseball. The article talks about the Seattle Mariners and how their 15 year long playoff draught is more than likely to extend this year as well. Although the team has had some good records within this time, it has never been good enough to make it. The article also gives a nice set of data showing some of the other unlucky franchises through the years.


    I find this interesting because it give off clarifying data related to my major and inform me about possible careers. In addition to how marketing is viewed throughout this country and the different roles I might have to play and endure.

    I chose this article because I find it interesting what economists have to say about the current job market. It’s very encouraging to read about the projections of the labor market in the years to come. This is something that all students can relate to as far as job security when the time comes to begin your career.


    I chose this article because it is really interesting to me considering the fact that I’m a huge football fan. It basically has a bunch of charts with data about different teams with different wins and losses since 1995 and it uses this data to see on average the amount of wins each team will get based on their record at a certain point in the season. For example, if a team is 9-4 after 13 games, they are on pace to win about 10.8 games, because that is the average among the teams who have started out at 9-4 in the past, I just found that interesting to have that data right in front of me rather than listen to the announcers and commentators talk about it.

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    The article I chose was regarding Aetna’s Apple Watch application. As someone studying to become an actuary and pursuing a career in insurance, I found this very interesting. The real time data that this application is going to generate is going to make pricing insurance policies much easier for Aetna. They are going to have much more access to their customer’s living habits so they will be able to more accurately assess the risk of each individual policy. For those that live healthy lives, this application will allow them to show Aetna that and most likely reduce their premium amounts.

  • I chose an article about the Wells Fargo scandal that went on because it went well with my major and it is extremely interesting. I found it interesting because the amount of data that was being processed by people and through the computers, its incredible that something can go under the table for so long.

  • The article that I found is about a “chat bot” for fantasy sports. you will be able to ask the bot questions about the odds of a game, current picks on who win and top picks to start for fantasy leagues. The bot will do this by gathering statistics from previous games and even seasons. I find this interesting because I am a huge fantasy sports fan that has trouble sometimes picking who to start and who to sit. Ultimately, the bot will help you start the best players and give you better odds to win; which in this years fantasy football season would be a big help for me.

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    The article I found was about the amount of users of social networking sites. It discusses how men have recently caught up to women in the amount of use on social networking. 76% of online adults use social networks. This is pretty interesting data because it shows how important of a role social networking is at our age. People are constantly on it, and not one sex more than the other.

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