Day 14: Schnitzels and Slideshows

As we are finishing up week two, we started the day off with our second project presentations. The groups shown below spent the past week working with the data we collected back on day five of our journey here in Florida. Both groups used that data to put together a model that could help predict the queue buildup for the rides TRON and Big Thunder Mountain Railroad in Magic Kingdom.

Big Thunder Mountain Railroad Queue Group: Ashton, Dylan, Julia and Harrison (left to right)

TRON Queue Group: Della, Luke, and Cassie (left to right)

The other two groups that presented this morning focused on a very different topic. They have spent the past week working on a workforce scheduling model to figure out the number of staff needed at Ohana, a restaurant at Disney’s Polynesian Village Resort, throughout the day.

Workforce Scheduling Group #1: Tram, Aidan, Mara, and Annmarie (left to right)

Workforce Scheduling Group #2: The Anh, Isabella, and Connor (left to right)

After spending the bulk of our morning on project two presentations, we went straight into project work for our Team Disney presentations. The Team Disney project presentations are coming up this Thursday, and it is a quick turnaround from the end of project two to finalizing presentations for Team Disney. Luckily, three of the four groups for the Team Disney presentations are assigned with presenting topics from projects one and two, so it is just a matter of finalizing from pre-existing slideshows to be ready for Team Disney. The other group is presenting about the traveling tourist problem and our race to complete twelve magic kingdom rides in one day from day six. While the timeline is short for our Team Disney presentations, the professors have provided lots of helpful feedback and are very willing to help out as we prepare to present some of our mathematical work to some real professionals in a couple of days.

Once groups were at a good spot in their projects, we headed to the parks to start collecting data for our third and final project. Since finding our presentation groups a few days ago, everyone has been getting very eager to start collecting their data. In order to get a start on this, 13 of us headed to EPCOT, while the remaining four went to Hollywood Studios. The group in EPCOT headed straight to Guardians of the Galaxy: Cosmic Rewind to start collecting data for one of the group's projects. Their project is centered on song distribution played on each cart during the ride. The group that went to Hollywood Studios went to the Tower of Terror to plan how they wanted to collect data regarding drop sequences in the ride.

Once the Guardians group finished the ride, they had free time before dinner. Some groups went to attractions like Imagination with Figment and were called to stretch their imaginations in the wildest ways possible. Some students dreamed of being professional mathematicians, some professional athletes, and others (like Tram) dreamed of becoming other animals, like a frog! While most seem to be content as humans, Tram kind of liked the idea of being a frog.

After the Tower of Terror group finished their data, they headed to EPCOT to meet the rest of the group after their free time for dinner at Biergarten. At dinner, we all enjoyed a delicious traditional German buffet meal.

At dinner, there was a German-style performance that included lots of singing and dancing. At one point, the performers started to sing the chicken dance. When the professors looked up on stage at this time, there were a lot of little kids up on stage and even a group of 14 college students stealing all of the spotlight. But who could have done this? Yep, you guessed it, that was all of us!

After stuffing our mouths with bratwurst, meatballs, and pretzels, we did the sensible thing and headed straight for the most thrilling rollercoaster ride that EPCOT has to offer. When we arrived at Guardians of the Galaxy: Cosmic Rewind, the wait for the standby line was 105 minutes. While this may have seemed like a disappointment in the moment, it was likely a blessing in disguise, as it gave us time to digest our food before hopping on the ride. We eventually made our way to the front of the queue as excitement built for what is likely the group's favorite ride of the trip so far. We spun through outer space and saved the world with the Guardians of the Galaxy before exiting the ride with smiles written on all of our faces. As we walked towards the exits of the park, thinking to ourselves, “I could live in this moment forever.” Unfortunately, all good things must come to an end. The reality of only a week remaining on this trip began to set in as we took the vans back to the hotel. We have all enjoyed the trip up to this point and can’t wait to finish the last week out strong!

This blog was written by Harrison Brown and Cassie Larsen

Day 13: Work Hard, Play Harder: Probabilities, Party Sizes, and Wilderness Exploring

We want to acknowledge the sacrifices of our United States military this Memorial Day. We thank you for your service. 

The group at Magic Kingdom

Another day, another rope drop! Our group started our day by traveling to Magic Kingdom to beat the crowds. However, we had a different goal today. We began collecting data for our third and final project! We split into groups and went to five different attractions: Space Mountain, Buzz Lightyear’s Space Ranger Spin, Seven Dwarves Mine Train, Jungle Cruise, and Pirates of the Caribbean. We collected data on the number of people in each party, to varying success. Two groups ended up with Lightning Lanes due to ride issues! Once we were done with data collection, we all rode Tron as a group and got yummy snacks!

Quick meeting on the ferry to Magic Kingdom!
Class is wherever we're together.

Data collection in action: Tram, Dylan, Annmarie, and Cassie (L to R)

What else to do when data collection is complete? Julia, Mara, and Della rode on the teacups!

Luke and Dr. Harris on Tron: Lightcycle/Spin

Once we got back from the parks, we soon reconvened for class. As a continuation of yesterday’s lesson on probability distributions, Dr. Bouzarth walked us through expected value using a fun example about roulette, and Dr. Hutson finished the lesson by walking us through formulas for the calculations. We found that, given enough iterations, a bet on something with a high probability and low payoff will end up with the same expected value as something with a low probability but a high payoff. So, if you’re playing roulette, go big or go home! It all ends up the same in the long run. 

Class time!

A standout highlight of the day (because every part of our day is a highlight!) was welcoming Olivia McGuirt ‘21, to share her experience working with Disney World thus far to our class. An Elementary Education major with a Masters in Special Education from Furman, Olivia offered a unique perspective on the Disney experience, having not been part of a Math and the Mouse cohort during her time at Furman. Her work allowed us to understand more about what goes into different Disney operations beyond the bounds of this class and the countless academic backgrounds that can lead to a career at Disney. 

She began working in Animal Kingdom two years ago as a guide in the Wilderness Explorer Program. However, she was quickly promoted to a coordinator within the program. Today, she oversees instructing future Wilderness explorers, acting as the perfect channel between the scientific backgrounds of many of her colleagues and the children who participate in the program. Olivia’s elementary education background also helps guide Wilderness Explorers in conveying their vast scientific knowledge to younger audiences. Her degree in special education allows her to expand the accessibility of the Wilderness Explorers Program to neurodiverse audiences. She has had a great deal of experience working throughout high school, college, and her professional life as both a volunteer and educator with ADHD students, so she is a big proponent of the kinesthetic learning that this program offers. Through regaling the class with entertaining stories in the magnificent Animal Kingdom but also seriously reflecting on the non-linear path that led her to Disney, Olivia’s sparkling personality and passion for spreading positive environmental messages to audiences of all ages shined through her presentation, uplifting and invigorating us all for the busy week of presentations we have ahead.  

The group with Olivia!

After Olivia left, everyone went to work on our presentations for tomorrow, and began brainstorming for the presentations that we’ll give to Disney professionals later this week! Though we’re almost two-thirds of the way through our MayX, we’ve still got lots more exciting times to come! If you enjoyed today’s blog, it was written by Della Avent and Luke Brownlee. Otherwise, it was written by Mara Johnson and Annmarie Henderson! 😉

Signing off, 

Della and Luke

Day 12: Liar's Dice and Everest Heights

After yesterday’s activities, the group got to sleep in a little and begin class at 9am. Today’s class started with a fun and interactive activity before we moved into the main lecture material. We were introduced to the game Liar’s Dice, a game centered around probability, estimation, and strategic thinking. Each player had five dice, and during every turn, a player would make a bet about how many dice showing a certain number existed across the entire table. The next player then had three choices: challenge the bet by claiming it was incorrect, claim that the bet was exactly right, or increase the bet by making a higher estimate. Since nobody could see the other players’ dice, the game forced us to make decisions based on incomplete information rather than certainty.

Annmarie, The Anh, Harrison, and Aidan play Liar's Dice

The class was divided into five different tables, and we competed against one another until each table had a winner. The winners then advanced to a final round. The Anh almost won the entire game, but in the end Aidan came out on top, so congratulations to him for the victory!

Aidan takes the win!

What made the activity especially interesting was how naturally it connected to the topic of binomial processes and probability distributions. While we were playing, we were unknowingly applying the same kind of probabilistic reasoning used in statistics and data science. For example, if I had several dice showing the number three in my own hand, I could estimate the likelihood that other players also had threes. Instead of making completely random guesses, we were mentally calculating what outcomes were more or less likely based on the information available to us.

The game demonstrated how probability can be used to predict outcomes when dealing with repeated independent events, such as rolling dice. Even without writing equations, we were constantly analyzing risk, estimating chances, and adjusting our decisions based on previous information. The activity made these mathematical ideas feel much more intuitive and practical.

The discussion then expanded beyond the game itself and connected these ideas to real-world applications, especially within Disney operations. Probability models and binomial processes can be used to estimate ride wait times, predict the likelihood of ride failures, and analyze guest flow throughout the parks. For example, engineers and analysts can study how often a ride may temporarily stop operating over a certain period of time or estimate how efficiently guests can be loaded into attractions. These same concepts can also help create algorithms that optimize ride seating, reduce unused capacity, and improve overall operational efficiency.

Dr. Hutson teaches binomial processes

After a short break for lunch, everybody reconvened to work on our projects. Today was all about putting everything together and preparing for our presentations on Tuesday. Since most of the calculations and analysis are complete, the groups focused on polishing their PowerPoints and figuring out the best way to present their data.

Once we all found a good stopping point, the group left for a few hours of fun at Animal Kingdom! Upon arrival, we divided up into a few groups and enjoyed a little free time. Some chose to explore more of the park, while others focused more on a specific attraction (translation: rode Everest six times in a row). Despite it being free time, the professors encouraged us to practice a little data collection to prepare for our next projects. One example of this was on Everest, which divides its queue into even and odd parties. Even though one group of six started ahead of a group of seven, both groups ended up on the same train because of this process. 

         

                                     The even group                                                                (Most of) The odd group

The group met up for dinner at the Yak and Yeti restaurant before venturing off for a final hour of park time. We all experienced a little (or maybe not so little) splash at the Kali River Rapids, but fortunately it was hot enough to dry most people off.

Connor, Ashton, Aidan, Mara, Isabella, and Della before riding Kali River Rapids

The Anh, Cassie, Luke, Dylan, Annmarie, Harrison, Dr. Harris, and Tram after riding Kali River Rapids

The same Everest group tried to ride it one more time, but sadly it was already closed for the night due to technical errors. They still commemorated their record number of consecutive rides with celebratory Yeti plushies. Dr. Hutson and Dr. Bouzarth managed one more ride of Everest before getting stuck at the top! Fortunately, they were rescued by friendly cast members and returned to the group safely. To cap off the day, a few group members stopped for some Mickey Bars on the way out of Animal Kingdom (you might remember those from our first project). Tired and still a bit wet, we all returned to the hotel for a quiet night of project work and sleep. 

                         TBDeti, Yeti, Jetty, Edi, Betty, and Confetti                   Della and Mara with their Mickey Bars

Today’s blog was written by The Anh Nguyen and Isabella Sanchez!

Day 11: Magical Keys, Brain Power Sprees, and Burnt Cookies

 DISCLAIMER: Due to the confidential nature of many of today’s events, this blog post has been censored, and confidential information has been redacted.

Day 11 of our Math and the Mouse trip started out bright and early as the group headed to Magic Kingdom for our Keys to the Kingdom Tour! We spent the morning walking around the park and backstage areas, led by our wonderful tour guide, Melissa. She was so enthusiastic in sharing the keys to the kingdom, which are *redacted* , *redacted* , *redacted* , *redacted*, and *redacted*. While backstage, she told us all about *redacted* things like *redacted* Disney *redacted* secrets! We loved learning about *redacted* how *redacted* Cast members *redacted* do *redacted* their *redacted* job and uphold the magic of Disney.

After the tour, our exhausted group made our way back to the hotel for a lunch break before getting back to work on our projects! Here, each group finished up the data-modeling grunt work of their projects and began transitioning into presentation and visualization mode. All of us were already burnt out from Excel, even in our short time using it, which made our next stage of the day particularly interesting.

We were then greeted by our second wave of guest speakers, Molly and Ross. Molly is a Furman and Math and the Mouse alum who is now working as a Merchandise Supply Chain Analyst for Disney! In this role, Molly focuses on reporting and analytics, inventory analysis, cost analysis, and labor and expansion. She shared with us about her team’s work in creating a tool to combine and organize past and present data, helping the Disney team determine how much new labor they will need for new shops and lands, and spearheading the initiative to add discrete digital signage to Disney merchandise scores. Additionally, Molly’s husband Ross works as a Shipboard Pricing Manager at Disney Cruise Line. In this role, he prices virtually everything on a Disney Cruise from specialty drinks to massages, excluding the initial room price and any merchandise on board.

After getting the chance to ask insightful questions and meet with our second guest speakers, we were able to brainstorm ideas for final projects. This was already done individually a couple of days ago, but we collaborated and put them all on the giant whiteboard within our classroom. These ideas ranged from the most optimal bench in epcot to minimize time in the sun throughout the day to whether the songs within Guardians of the Galaxy: Cosmic Rewind truly have the same probability, and whether the song played affects the overall ride enjoyment.

To finish out the day, our group headed in different directions. Della, Mara, and the professors headed to Hollywood Studios while the rest of the group enjoyed relaxing at the hotel, slow dinners, time at the pool, “family game night” featuring Brain Freeze, Mafia, and burnt stovetop cookies.

This blog post was written by Ashton Holt and Mara Johnson!

Trying to Decide: A Post from the Profs

A primary focus of the Math and the Mouse May Experience is the mathematics of decision-making.  Students learn how to mathematically model decision-making processes, and they learn about the ways people find optimal solutions to those models.  In three weeks, we can only scratch the surface of these models and methods, but we have future classes in the Mathematics Department for the students to explore these concepts in more depth.  Over the past week we have asked the students to model two decision problems.  The first was the Mickey Bar Problem in which our students decided where to move mobile concession stands around the Magic Kingdom throughout the day to achieve the most crowd exposure.  All of the student groups did a great job of solving this problem and presenting their work to the class. 

The second decision problem is something we call the Traveling Tourist Problem, which is a version of the better-known Traveling Salesman Problem (TSP).  In this problem a salesperson has some number of sites to visit during a day and wants to know the fastest route to visit all of the necessary locations and return home.  This is an easy problem to state but an extremely difficult problem to solve in practice.  Companies like UPS, FedEx, Amazon, and pretty much all other logistics companies try to solve this problem on a daily basis when routing their trucks to pick up and deliver packages.  The problem also shows up in a variety of other fields from crew scheduling in the airline industry to pattern cutting in the upholstery industry.  Touring Plans is a company that solves this problem for Disney patrons.  When planning a vacation to Walt Disney World, vacationers can visit touringplans.com, enter the attractions they want to see during the day (including breaks and meals), and Touring Plans will provide them with a tour for their visit.  

The Magic Kingdom Traveling Tourist Problem is a staple of our course, and it exemplifies the type of hands-on, engaged learning that May Experience courses are known for.  The problem asks our students to find the ordering of following 12 attractions/experiences that would minimize the total time it takes to complete the attractions when things like wait time, ride time, and walk time are taken into consideration.  

1. Space Mountain
2. Buzz Lightyear's Space Ranger Spin
3. Seven Dwarfs Mine Train
4. Dumbo the Flying Elephant
5. Under the Sea – Journey of the Little Mermaid
6. Peter Pan’s Flight
7. “it’s a small world”
8. The Haunted Mansion
9. Big Thunder Mountain Railroad
10. Tiana’s Bayou Adventure
11. Pirates of the Caribbean
12. Jungle Cruise

Sunday night, before the Monday competition, we divided the students into four teams of size three and four.  We gave each group a park map, a list of ride durations, walking times between each pair of attractions, and projected wait times, all supplied by Touring Plans.  Each group was tasked to work together to design a tour of the 12 experiences and write down their thought process in creating the tour.  Then, on Monday, the four student groups and the group of professors raced to see which group could finish the attractions first.  Further, if a group deviated from their original plan during the Monday race, they were to describe their thought process in choosing to deviate.  As an added benefit, on Tuesday of this week, we met with Len Testa, founder and president of Touring Plans, who talked about how his company solves this problem for vacationers.

What makes this problem hard to solve is the combinatorial explosion of possible solutions.  In arranging/ordering the 12 experiences for their day, there are 12! = 479,001,600 possible orderings of these attractions.  So, the students have no hope of verifying how close their solutions are to being optimal, but that’s okay.  We want them to discover that the same thought processes that they come up with to produce and augment their solutions are similar to the thought processes that mathematicians have used for decades to produce good, but maybe not optimal, solutions to this problem.  (We should point out that the TTP is actually harder to solve than the historic TSP problem because the time that one waits at an attraction depends on the time one visits the attraction since many attraction wait times vary throughout the day.)  

These are some of the thought processes that students used in making their plans:

1. Minimize walking distance.  
2. Minimize time waiting in lines.
3. Take advantage of rides whose wait time is below the average wait time for that ride. This was the strategy of the first-place team.
4. Finish the highly popular rides (Seven Dwarfs, Space Mountain, Jungle Cruise, Peter Pan) first then ride the less popular rides.
5. Tackle rides that are in a geographically similar portion of the park together before moving to another geographic area.
6. Be opportunistic in changing their original plan by moving big rides up in their order if they see a wait time at that ride below a certain threshold.

The first two strategies employ an algorithmic approach to solving the problem known as the Nearest Neighbor Algorithm.  This approach attempts to create a tour by picking a starting ride and then going to the next ride based on some metric, such as the ride within the shortest walking distance or the ride that has the minimum wait time at that point in time.  The third approach, choosing a ride whose deviation from average is most advantageous, is the subject of a paper, “A Comparison of Algorithms for Finding an Efficient Theme Park Tour” appearing in the Journal of Applied Mathematics, that the professors wrote with Len Testa and two previous Math and the Mouse students in 2018.  So, it was really cool for us that our students recreated our published idea!  It turns out that the winning team, comprised of Cassie, The Ahn, Harrison, and Della, used this strategy in forming their initial tour.  

The first-place team (L to R): Della, Cassie, The Anh, and Harrison

Incidentally, after the race we entered the list of attractions into the Touring Plans Optimizer to see what they suggested was the optimal route to take on Monday.  It came back with

1. Jungle Cruise
2. Pirates of the Caribbean
3. Tiana’s Bayou Adventure
4. Big Thunder Mountain Railroad
5. Under the Sea - Journey of the Little Mermaid
6. Seven Dwarfs Mine Train
7. The Haunted Mansion
8. "it’s a small world"
9. Peter Pan’s Flight
10. Space Mountain
11. Buzz Lightyear’s Space Ranger Spin
12. Dumbo the Flying Elephant

This plan projected the finish time to be around 3:30pm.  Our group’s first place team finished at that time exactly (with a slightly modified tour).  Amazingly, each team, except the professors, actually started at Jungle Cruise.  In fact, one team’s plan was the same as the above plan from Touring Plans in the first three attractions to visit, and they came up with this without access to www.touringplans.com. 

In the graph below we outline the path that the first-place team took.  The dots are color-coded by time of day.  The lighter dots are earlier in the day, and the darker dots are later in the day.  The team completed the tour in the following order: 

1. Jungle Cruise
2. Big Thunder Mountain Railroad
3. Tiana’s Bayou Adventure
4. Seven Dwarfs Mine Train
5. Peter Pan's Flight
6. The Haunted Mansion
7. Under the Sea - Journey of the Little Mermaid
8. Dumbo the Flying Elephant
9. Space Mountain
10. Buzz Lightyear's Space Ranger Spin
11. "it’s a small world"
12. Pirates of the Caribbean 

Their tour is only a couple of small permutations away from the Touring Plans tour, showing that with the proper data, analysis, and sparks of inspiration, our students can do hard things! 

Winning team's tour

Since the strategy of the winning team was to try and visit a ride when it offered a bargain compared to the average wait time, the following chart shows the wait time comparison between teams for each ride.  The horizontal line for each ride is the average wait time that our teams waited for that ride throughout the day.  The star represents how long the winning team waited for each ride.  For the winning team, they waited less than average for eight of the twelve rides, slightly above average for two rides, and more above average for two rides.  This shows that everyone is going to have to wait for some ride during the day, but minimizing the number of times that happens is important if you don’t want to spend your entire day waiting in line.  Unfortunately for them, their longest wait was for Dumbo, a ride that they probably wouldn’t have even ridden if we hadn’t made them.  In contrast, the second-place team only had six rides where they had a below average wait time.  That group was on the lower end of walking distances of all groups which allowed them to “catch up.”

Wait times for each team by attraction. Horizontal lines indicate average wait time of the five groups for each attraction and the stars indicate the first-place team's wait times.

For the fourth-place finishers, the professors, we will try again next time to win our first TTP, but it is rewarding for us to see our students discover mathematics for themselves in a fun way.  What the students discovered in all of this will be important for them to remember as they carry on in school and in their future careers.  First, sometimes data is unreliable, such as the posted wait time on the attraction, and you have to be able to adapt to variation (such as encountering an unforeseen wait or an attraction because it was running at half capacity).  Making decisions under uncertainty is difficult but is something that every manager has to do, and the students are learning that the deterministic problems that they see in textbooks only partially reflect what happens in the real world.  Lastly, working collaboratively in teams, they produced their own algorithms to solve this problem, but at the same time, they reproduced some of the great ideas that great mathematicians have had before them.  We hope they recognize the significance of that and that they build confidence in their own abilities!   

Day 10: Project Craze and Ride Delays

This morning  the group was able to make a choice. You could either wake up early and rope drop the new Millenium Falcon ride at Hollywood Studios or you could choose to sleep in and have the morning to yourself at the hotel. 8 of us made the choice to head over to Star Wars land and see the new ride. Lots of other Disney fans had the same idea as us so the line was already long before the park even opened. Luckily we were able to hustle in when the rope dropped and head over to the ride. While we were waiting in line we were able to see a cast member, The Mandalorian, and his cute but powerful friend, Grogu.

The new movie Star Wars: The Mandalorian and Grogu came out last night so this ride was rethemed to match that movie. We had two groups fly the ship and I think it’s safe to say, we made it out successfully (with only a few life threatening crashes). After that ride we chose to ride the other Star Wars ride, Rise of the Resistance. This line however was very long so we chose to all enter the line as single riders and we were able to get on the ride in half the time. After a fun morning at Hollywood Studios, we headed back to the hotel for some project work.

For project two in this class, we were split into 4 groups. 2 groups were assigned project 2A and two groups were assigned project 2B. In project 2A the students are tasked to figure out Work Scheduling for a restaurant in Disney. In the first part the workers work 8 hour shifts and will have a one hour break either early or later in the day. Based on how busy this restaurant is at different times there is a required amount of people that have to be working, so our goal is to minimize the amount of total people working throughout the day. This task was much more complicated and complex compared to the examples that we had done previously in class. Then to make the problem even harder we are allowed to give the workers an hour break any time throughout the day, meaning that we can be more efficient in minimizing the total amount of workers for the day, but makes the problem much more complex. Project 2B focuses on the queueing data we collected at Magic Kingdom earlier this week. The groups with this project were tasked with creating a simulation for what the first 2 hours of Magic Kingdom would look like for Big Thunder Mountain's and Tron’s waiting queue. We had to use our data taken over 30 minutes, to simulate the next 90 minutes for the following data points: Number of people entering the line per minute, number of people exiting the line per minute, number of people on each ride, and the time that occurs in between each ride. After using the randomization feature on excel to find data points for each of these categories for the first 2 hours of the day, we then have to see what the wait time would be throughout those two hours. After each group worked on their project for several hours, we called it a night and stopped working for the day.

After finishing working on the projects for the day, we were told that we would be going to Animal Kingdom in the evening, though it was already 4:30pm and the park closed at 6:00pm. The professors then changed their plans to go to Epcot, and to get back at the hotel at 9:30pm. Though because of the very early morning the next day, almost everyone decided to stay at the hotel. Though the students decided that if they could go to Epcot to just ride Guardian of the Galaxy, they would be willing to go do that. A group of 7 decided to go on the quick trip to Epcot, while the others stayed to get dinner at 5 guys and relax.

While waiting in the long line for Disney the group of 7 played fun games with each other while the professors went to get food. The estimated wait time was around an hour, though tragedy would strike when the group was inches from the preshow room. The ride shut down. Though we didn’t notice the announcement at first we found the lack of movement strange until we realized what was happening. We stuck it out for 2 hours, before giving up. This was extremely disappointing for us and we were all very sad.

After meeting up with the professors under the Epcot ball we expressed our disappointment, but not all hope was lost. Dr. Harris used his sweet-talking skills with the Disney Visitor Experience people to get all 7 of us fast passes for the next time that we ride Guardians of the Galaxy. This helped to raise the mood and we went back to the hotel to get enough sleep before for our Keys to the Kingdom tour tomorrow. 

Today's blog was written by Connor Lockett and Dylan Daniels!