Author: Dana Barnes

Survivor 50 Preseason Alliances Viz

Dana Barnes

I am new to Survivor fandom. But to paraphrase Jeff Probst, I quickly dug deep.

My 2024 New Years resolution was to stop watching reality dating shows. Too problematic on so many fronts. So when the second season of The Traitors premiered and was gaining social media fanfare, I thought I would give reality competition a shake. I had never before seen Sandra or Parvati, but I was immediately intrigued. Who were these charismatic, intelligent, cunning women? (Answer: ‘QUEEN!’ and ‘QUEEN!!!’)

Survivor friends immediately gave me a syllabus, and the rest is history. I’m actually shocked to realize that the first episode I ever watched was not even two years ago, on February 28, 2024, for the Survivor 46 premiere. I mean, I literally mentioned Survivor in my wedding vows. It’s been a whirlwind 24 months.

Flash forward to today. I’ve kept up with the new seasons from 46 onward. I’ve watched probably 20 of the prior seasons based on Survivor community recommendations; David vs Goliath is truly a masterpiece. So, like many fans, I am stoked for Survivor 50: In the Hands of the Fans – the first all-returnee season since I’ve become a watcher, commemorating a huge milestone in the show’s 25-year history.

I’m so deep in the fandom now that I regularly listen to multiple Survivor recap podcasts. One of these is from Survivor alum Rob Cesternino, who now runs the podcast empire Rob Has a Podcast (RHAP). In the run-up to Season 50, RHAP has been airing “preseason interviews” with each of the 24 contestants. So even though it’s February now, these were filmed back in June – out in Fiji, after the cast has gathered and started to size each other up…but before they can actually talk, before they begin filming and playing the game officially.

The interviewer leading these episodes is Mike Bloom, and for each person he does a game of “Friend or Foe,” having them run down whether or not they want to work with every single other player who is also on the cast. These conversations have produced incredible content – but most importantly for me, incredible data. I immediately wanted to cross-compare interviews. Sure Aubrey doesn’t want to work with Q…but what does Q think? Ozzy wants to work with Cirie…but how many options does Cirie have?

So I took it upon myself to listen to each interview, transcribe how each interviewee rated their competitors, and make a determination of “friend” or “foe” based on either the label they gave – or (some people are cagey!) inferred by their sentiment. I tried a couple different ways to visualize this (a grid? a network diagram?) but wanted to land on something that was easy to read, visually interesting, and told you something about how well this person was likely to do on their tribe and overall.

Voila! My Survivor 50 Preseason Alliance Map infographic. Click here to expand – there is a lot of detail visualized about each player’s prior seasons, tribe assignment, mutual friends/foes, and quotes from interviews explaining their answer.

This image is actually huge. You can click here to zoom in.

One decision I made when doing this graphic was that everyone’s answer was forced to be binary. Some interviewees gave very clear “friend” or “foe” labels. Others were more elusive, and left the judgment up to interpretation. So to be completely transparent, I’ve documented the transcripts and my determinations here. (You’ll notice my raw transcripts have a lot of typos; I got the gist of each interview, but didn’t think it was worth my time to go back and edit my for spelling, punctuation, and all that. I’ve got a job lol.)

Pretty soon after I started this project, I realized I wasn’t the only one doing this analysis. Indeed RHAP themselves and the RHAP listenership have jumped on this data just as I did. (It’s incredible information! Truly, hats off to Mike Bloom.) But I think I’m doing something unique to make the data more digestible. Here are the only other vizzes I’ve seen out there. While thorough and accurate, I find them hard to read. Should I be looking at the rows or the columns? How can I quickly see what two players said about each other? What does this data tell me about each player’s position of strength vs weakness going in? I find my visual more intuitive, and frankly, easier on the eyeballs.

Here is how I’ve seen this same data elsewhere:

Hi RHAP! Amazing interviews & coverage! But I find this hard to read, and needed your voiceover to make sense of the big storylines.
This one’s from Reddit. Love the detail here when people give cagey answers. But ack, another matrix. I can’t make heads or tails of this without diligently studying each column and row.

I have some ideas of where I might want to post this, and potentially even print out IRL for a watch party. But please share any ideas you have for this to make its way to the Survivor data nerds community!

On Being in Denial About the 2021 Nebraska Football Season

Dana Barnes

2021 was a tough year to be a Nebraska football fan. Nay, it’s been a rough half decade.

Let me hit you with some sad facts: We haven’t had even a winning season since 2016, let alone a season competitive for a conference title or (ha!) national championship. Our head coach, Scott Frost, started with much fanfare in 2018 – but he hasn’t secured more than 5 wins in a single season, ending 2021 with a cumulative 15-29 record as the Huskers’ head coach.

But at least this year, our dreadful 3-9 record doesn’t feel like the whole story. Every single one of our nine losses has been by single digits. We’re hanging in there no matter the opponent, never getting blown out. Six of our painful losses were to ranked teams – heartbreakers that came down to the final seconds.

“Nebraska is a better team than its record shows.” That’s not just what us delusional cornheads are saying. It’s been an oft-repeated talking point from sportscasters, sports podcasters, and journalists. And I gotta say, it feels so true. We felt competitive with the top teams in the country. I feel real hope that the pieces will come together by (fingers crossed) next season.

But how do we measure this sentiment? If we believe our Win-Loss record underestimates us, what are other ways to quantify the Big Red?

Quick disclaimer: the Tableau interactives render best on desktop. Sorry to my mobile dataheads!

To explore this question, I gathered data on every game played by the 64 teams who belong to a Power Five conference (ACC, Big 12, Big Ten, Pac 12, SEC), through Week 13 of the season. Most teams are done with the regular season by now, including (mercifully) the Huskers.

Let’s start with the basics: wins and losses. This graph shows all Power Five teams, sorted by most wins (go, Dawgs) to most losses (sorry, Wildcats). Since strength of schedule is relevant to Nebraska’s storyline, I also highlighted which of these games were against a ranked opponent.

Right away, you can see that Nebraska is an outlier. SIX LOSSES TO RANKED TEAMS! If our opponents weren’t so strong, maybe we would have banked a few more W’s. What’s crazy is that 94% of Power Five teams didn’t even play against six ranked teams all season. 

But this chart doesn’t capture just how close our losses were. In this version, I show number of losses (on the x-axis) plotted against the average loss margin (on the y-axis). Some super interesting trends:

  • Teams that lose rarely, tend to lose in close games. Basically, if you’re a team on the bottom-left, you’re pretty good. You only had a couple of losses, which were super tight games. Think: Alabama, Oklahoma State, Michigan.
  • Teams that lose often, tend to lose by a lot. If you’re a team on the top-right, you’re having a rough season. You had a lot of losses, and your losses tend to be by a lot. Think: Kansas, Duke, Arizona.
  • Nebraska lives on its own in the bottom-right – lots of losses, all of which were close. Usually, teams that lose often get blown out. We managed to be uncommonly competitive in these losses.

I think this visualizes why Nebraska doesn’t feel like a 9-loss team. The other 9-loss teams (Duke, Georgia Tech, Northwestern, Stanford) suffered an average loss margin of 22.75 points per loss. Nebraska ended the year with an average loss margin of just 6.22. It’s weird, it’s frustrating, it’s interesting.

In fact, if you plug in a trend line here, you’ll see a statistically significant correlation between losses and loss margin. This correlation says that good teams (few losses) lose by a little, bad teams (lots of losses) lose by a lot.

So let’s plug Nebraska into the regression formula. “Hey, trendline! If all we knew about Nebraska was that it had a 6.22-point loss margin, what would you predict Nebraska’s record was?” This super simple model predicts that the Huskers would have 2 or 3 losses. Nowhere near our astonishing 9 losses. 

One potential factor: the Big Ten conference was super weird this year. Let me show you what I mean.

You can see, for most conferences, that the correlation above remains true. Good teams have close losses, bad teams get blown out. This is true and statistically significant for the ACC, the Big 12, and the SEC. The Pac 12 is a little thrown off by Oregon (who had a bad loss to Utah a couple weeks ago), but if you exclude them the trend is the expected, statistically significant correlation.

But the Big Ten? It’s all over the damn place. There is no trendline. Somehow everyone looks like an outlier.

Why is this happening? I could hypothesize forever – maybe the Big Ten has lots of strong coaches, maybe even our worst teams have decent programs, maybe players have been emotionally unpredictable as this season’s Great British Bake-Off unfolded. All I know is that the Big Ten is weird, and it’s one of the factors that drove Nebraska’s extremely weird season.

Does any of this matter? No, I know, the wins matter. And we didn’t get many of ‘em. But does it make me feel better? Like something positive came out of these past four months? Like Nebraska football isn’t a hopeless waste of a pastime?

Yes to all! This analysis will keep my denial alive and well during the long offseason.

Until next time, thanks for tuning in dataheads. Congrats to the teams who made it to the post-season, and happy holidays to all (even Ohio State fans).

Dd

Inventing a new holiday for you & your dog: Calculate and celebrate your Lap Day!

Dana Barnes

We’re now 11 months into the COVID-19 pandemic, and quarantine has been a slog. I am fortunate that my job allows me to work from home. But it also means day after day I’m in the same room, staring at the same laptop, bouncing off the same walls. A silver lining for me is that I get to spend nearly every hour with my dog, Murphy. (Yep, same Murph from my previous post on his dog DNA results.)

I try to pass the quarantimes by planning events & milestones to look forward to. It helps mark the passing of time in otherwise monotonous weeks and months. Shocker: many of these plans & milestones center around my trusty companion Murphy.

A couple months ago, we celebrated his fourth birthday. (He got the biggest bully stick we could buy at Tailwaggers pet store.) Earlier this year, we observed his third annual “Gotcha Day,” i.e., the anniversary of his adoption day. (I swear this is a common and not insane milestone among dog owners, especially those who adopted shelter dogs with exact birthdays unknown.)

Trying to think of more Murphy-centered holidays, I had a conversation with friends about the concept of human years & dog years; how, at some point in our lifespans — some exact date even — Murphy’s “age” will intercept with mine.

Me being me, I spun up an interactive Tableau calculator to pinpoint this day. We debated a few different options for what to call this date — this planetary alignment that only happens once ever for any person-dog pair. We brainstormed “Your Dog Eclipse Day,” “Catch Up Day,” “Convergence Day.” We researched the web and Reddit to see if there was a common phrase for this, and found just one Medium post on the topic, calling it “Same Age Day.” But all in all, the branding of this event seemed up for grabs.

What I’ve decided to hereby dub this auspicious occasion, is Lap Day! The once-in-your-lifetime date that your dog begins to “lap” you in age. I like it because the word “lap” has a lot of dog associations (lap dogs, lapping water, etc.), and it’s kind of a play on Leap Day.

So, here you go world! Your interactive, personalized Lap Day calculator:

One caveat: This calculator assumes 1 human year = 7 dog years. I realize this is an old heuristic. Veterinarians today agree that a dog’s body and brain mature at different rates and different times in its life, with a much faster rate of growth early (Year 1 of a dog’s life = 15 years of a human’s life) and a slower rate later (Year 10 of a dog’s life = 4 years of a human’s life). But the 7:1 rule is more colloquial, and for me it’s less about “when is my dog as mature as a 30-year-old” and more about finding this neat mathematical intercept.

So I have marked my calendar for September 8th of this year (yay, a plan!), and I will be planning a COVID-guideline-appropriate blowout for mine & Murphy’s special day.

Thanks for reading, y’all. Stay safe & give your dog a pet from me.

-Dd