Dan Oehm | Gradient Descending

  • Blog
    • R
    • All
    • Tidy Tuesday
    • Survivor
    • Statistics
    • Data Science
    • Scrollytelling
  • Survivor
    • Posts
    • Data
      • R package (Github)
      • Google Sheets
    • survivor stats db
    • Confessionals
    • Confessional timing app
  • About Me
    • About Me
    • Ultrarunning
  • Contact
  • Buy me a coffee πŸ™‚β˜•

Category: Data Science

Data Science

Was Dub right to expect to be done in 60 days?

September 6, 2024 Daniel Oehm 0 Comments

On day 73 of season 11 of Alone, Dub commented that he thought it would be over around day 60. […]

Continue Reading...

Data Science R

Wingspan Data Analysis

August 18, 2024 Daniel Oehm 0 Comments

Wingspan is a great game even though I’ve only played it a few times. The mechanics are great, there are […]

Continue Reading...

Data Science Survivor

Are the chances of winning Survivor for some people getting better or worse?

July 19, 2024 Daniel Oehm 0 Comments

Following up on my previous post, where I estimated the chances of winning and making the final Tribal Council for […]

Continue Reading...

Data Science Survivor

Who has the best chance of winning Survivor?

July 12, 2024 Daniel Oehm 0 Comments

This analysis is to see if particular demographics are more/less likely to win the season or at least make the […]

Continue Reading...

Data Science Survivor

Can Jury Favorability Predict the Winner of Survivor?

June 21, 2024 Daniel Oehm 0 Comments

I bang on a fair bit about jury favorability and the number of votes with jury members. This is because […]

Continue Reading...

Data Science R

Ignoring the IID assumption isn’t a great idea

June 16, 2024 Daniel Oehm 0 Comments

The IID assumption (independent and identically distributed) is pretty important. Ignoring it can lead you to make incorrect conclusions (usually […]

Continue Reading...

Data Science Survivor

Survivor Auction analysis: Should you bid on the first covered item?

January 6, 2024 Daniel Oehm 0 Comments

The Survivor Auction is classic. Seeing hungry people bid, win, and then binge on the food they just purchased is […]

Continue Reading...

Data Science Survivor

Should we expect balanced confessional counts in Survivor?

November 12, 2023 Daniel Oehm 0 Comments

Confessional counts are highly scrutinised by the Survivor fandom. Fans don’t like seeing their favourites getting “purpled”. My feeling is […]

Continue Reading...

Data Science Tidy Tuesday

Tidy Tuesday week 37: Global Human Day

September 18, 2023 Daniel Oehm 0 Comments

Interesting data this week from the Human Chronome Project which estimates how we spend our time on average across 8 […]

Continue Reading...

Data Science Survivor

In Survivor is entering the merge down on numbers a disadvantage?

June 20, 2023 Daniel Oehm 0 Comments

It’s usually seen as beneficial to enter the merge with the numbers. Here’s an analysis in R with the survivoR package to see if this is true.

Continue Reading...

Data Science R

Alone Australia is now included in {alone}

May 30, 2023 Daniel Oehm 0 Comments

Alone Australia is now included in the {alone} R package as well as the cast of season 10 of the US version.

Continue Reading...

Data Science

Alone Survival Analysis

May 8, 2023 Daniel Oehm 0 Comments

Is there a difference in survival rate between men and women on Alone? Survival analysis in R with the Alone R package.

Continue Reading...

Data Science Survivor

Do confessionals give away the winner of Survivor?

April 6, 2023 Daniel Oehm 0 Comments

Confessional counts are often great for indicating who the key players are in a season of Survivor. But do confessionals […]

Continue Reading...

Data Science R

Alone R package: Datasets from the survival TV series

January 20, 2023 Daniel Oehm 0 Comments

I have been watching the survival TV series ‘Alone,’ where 10 survivalists are dropped in an extremely remote area and […]

Continue Reading...

Data Science R

Select colours from an image in R with {eyedroppeR}

December 6, 2022 Daniel Oehm 0 Comments

There are fancy ways to extract colours from images but sometimes it’s easier if you could simply click on the […]

Continue Reading...

Posts navigation

Older posts
Bits and Pieces
I'm pleased to be a contributor to R Bloggers. It is where you will find most of my posts featuring R.
SURVIVOR STATS DB

The ultimate database for die-hard Survivor fans who love diving into the numbers. See who's on the leaderboard

Take me to the SURVIVOR STATS DB

Here are some other great Survivor resources worth checking out:

  • Survivor-Reference
  • SurvivorELO
  • Quick Links
    Links to Survivor assets:
  • SURVIVOR STATS DB
  • survivoR R package Github repo
  • Survivor data (Google Sheets)
  • Birthday Calendar

    Links to Alone assets:
  • Alone results table
  • Github repo
  • Data (Google Sheets)
  • Recent Posts
    • survivoR now includes US50 and AU12
    • Are the chances of being voted out next higher if you are in the minority after a tribe swap?
    • Quick Guide: Group Jackknife Variance Estimation
    • Survivor 49 is now in πŸ“¦{survivoR}
    • Does winning back-to-back individual immunity challenges decrease your chances of surviving the next Tribal Councils?
    • How important is it to be on the right side of the vote after merge?
    • You win chickens at a reward challenge. What do you do?
    • In Survivor, there’s one group that needs more love
    • Is Star the most popular, under-edited player in Survivor?
    • Survivor Australia vs. The World is now in {survivoR}
    Archives
    Categories
    • Data Science 54
    • Python 2
    • R 57
    • Scrollytelling 1
    • Statistics 16
    • Survivor 32
    • Tidy Tuesday 24
    • Ultrarunning 2
    Meta
    • Log in
    • Entries feed
    • Comments feed
    • WordPress.org
    Categories
    • Data Science 54
    • Python 2
    • R 57
    • Scrollytelling 1
    • Statistics 16
    • Survivor 32
    • Tidy Tuesday 24
    • Ultrarunning 2
    Meta
    • Log in
    • Entries feed
    • Comments feed
    • WordPress.org
    © 2026 Dan Oehm | Gradient Descending. All rights reserved.
    Theme by WPWarfare Powered by WordPress