Context: Looking for LTR in London.

This is based on post-match data because the Hinge export doesn’t include Likes. (I don’t think Likes data would say anything new anyway, since high volume is well documented for straight women)

Made at SankeyMATIC.com.

I posted this last year, and it got a lot of traction- so here are the results for 2025!

Visualization made using Sankeymatic and information compiled throughout the year after each stage of the recruitment process.

Some more information:

- This was just for 2025 (Jan-Dec). We were more selective with who we called this year, although the benefits from that were mixed. Many applications are blank with just their name or the location of their current/previous job.

- Pay is good for the area. 60k to 100k . I would say the average is about 75K a year. Excellent healthcare, 401k, etc. Plus union benefits (shift differential, double time Sunday, call time, etc.)

- HS diploma or GED is the only requirement to work. We actually really like hiring folks right out of high school when possible.

- The biggest deterrent is that we run 24/7/365 and operate a northern swing shift, which makes it difficult for some to manage. Weekends, nights, holidays, etc. We are running. The difficulty of work is hit and miss. Some tough days, some easy days. Not an easy schedule, but this is very common in our manufacturing sector.

- I left voicemails for every non-answer that had a working phone number or open voicemail box. I found that emails get a non-existent response rate.

- Small town and generally impoverished area. Very "blue collar" workforce.

- The bar to pass an interview is low. Just be able to maintain a conversation, understand the job requirements, and indicate a desire to learn.

- Orientation is 3 days of paid training for OSHA 10 certification and some overview of the company organization. We get a good indication of who isn't going to make it here, as many will be late their first few days of work.

Many of these were through Indeed job postings, and I've found that emails go unanswered, so I always call and set up an in-person interview if they are interested in the job after hearing the hours and requirements.

[OC] I've been tracking my alcohol consumption since new years day of 2024 using a google sheet I created.

datasource: fifa.com + https://en.wikipedia.org/wiki/FIFA_World_Cup_records_and_statistics

tools used: datawrapper.de

note: axes are truncated to highlight variance between top teams.

Data source: Numbeo

https://x.com/ortadoguistat/status/2015705178075181070?s=20

Data Source: https://x.com/BirthGauge/status/2008640014587228538?s=20

I visualized the recent fluctuation of 95E10 petrol prices across various gas stations in the Helsinki metropolitan area. The plot shows data from late 2025 (Week 48 - Week 52). The local newspaper Helsingin Sanomat has discussed this price oscillation phenomenon in the Helsinki region, which has been observed for years. There is no clear explanation for this phenomenon, where prices often jump up simultaneously across stations on Tuesday or Wednesday and then slowly drift downwards over the subsequent days. You can read more about it here (in Finnish): https://www.hs.fi/pkseutu/art-2000008244136.html

Visualization Details:

• Black dots: Individual price reports from varying stations.
• Line: 1-day moving average determining the general price trend.
• Y-axis: Price in €/liter.

Sources:

• Data Source: polttoaine.net (crowdsourced fuel prices in Finland), collected via Home Assistant.

Tools Used:

• Python (Matplotlib, Pandas)
• Home Assistant (data history collected daily from polttoaine.net with HA script)

I put together this chart and maps showing the top 10 cities in the US by median household income. This is based on 2022 US Census Bureau ACS 1-Year Estimates.

Edit: with the 1-year ACS estimates, this only includes cities with populations of 65,000 and higher.

Some interesting facts:

• Sammamish, Washington (a suburb about 20 miles east of Seattle) is the only city over $200k
• 7 of the top 10 highest earning cities are located in or near the Bay Area
• The gap between #1 and #10 is over $60,000

Source: US Census Bureau 2022 ACS 1-Year Estimates&g=010XX00US$1600000) via Community Scout. Visualized with Datawrapper

Data: National Gridded Snowfall Analysis - NOHRSC - NOAA| Global Human Settlement Layer

Visualization and Analytics: VizCarta

I track all my finances, and in 2026, i'm making a conscious effort to reduce our weekly food and grocery spend (without making major sacrifices).

This is what we spent each week in 2025 it includes all foods, toiletries, cleaning. We don't have pets.

The 'other' mainly includes local fruit and veg shops, local butcher or other supermarkets (Waitrose, Morrisons etc).

Average per week of £108.

Hoping to reduce this by £20 per week by shopping at Aldi a bit more - Sainsbury's is one of the more expensive supermarkets in the UK - to save £1000 in the next year.

Data is from all field goal attempts in regular and post seasons 1999-2025, n=27721. Data is from nflsavant.com.

[OC] I sonified Berlin's urban heat island effect – An interactive audio map of tropical nights

Hey r/dataisbeautiful!

For my Master's thesis, I turned climate data into sound. You can hear how different Berlin neighborhoods cool down (or don't) during tropical nights and how they could sound in better conditions.

🔊 Interactive map: https://soni-c.kfschulz.de/

🌡️ Data: Real measurements from 4 locations (Aug 28/29, 2024)

🎵 Mapping: Temperature → pitch, humidity → reverb, sealing → distortion

Quick survey at the end (~5 min). Would love your thoughts!

I used to tell people that "I listen to everything !"
But only really sticking to my few comfort bands/genres and not really exploring outside of that. So, as my Resolution for last year I wanted to listen to a New (to me) Album for everyday of the year.

I got recommendations from Family, Friends, Coworkers and Strangers.
I also used a few "random album generators" to help fill out my spreadsheet.

I am continuing this project into this year as well, and looking forward to what new things I'll be listening to.

Link to spreadsheet: https://docs.google.com/spreadsheets/d/1yeYQaEwt0vlAaYPl0gQs9z9vbGdsoHeDlNsia9pX-S0/edit?usp=sharing

Shoutout to:
u/OperationIvy002 u/esperadok u/RatCatSlim u/better-omens u/1deadeye1 u/hackloserbutt u/Hendospendo u/frostedmooseantlers u/Brubger127 u/Heavy_Count8466 u/MrRichardSuc u/Perplexio76 u/Frequent_Skill5723 u/Warrior-Cook u/saspurs311 u/jayjaynorcross u/PeltolaCanStillWin u/callowrose u/wjbc u/MycologistFlat5731 u/yinzerpretender110 u/EskimoSpy4 u/El_Hombre_Aleman u/SonnyRollins3217 u/Pleasereleaseme123 u/Trini_Throwaway u/Relayer8782 u/famousroadkill u/ArtBellDancingQueen u/Tinylilwizard u/Western_Plantain_210 u/STOPITDONKEY u/OnTheOutside u/battlesong1972 u/Rocking_Ronnie u/Bulky_Ad_3608 u/imreallyfreakintired u/Xavier-Cross u/Chuckle_Prime u/Legitimate-Gur8704 u/A_Guest17 u/MyFamilyHatesMyFam u/Sad-Consequence-2015 u/Nuclear-Turds u/balloontrap u/StringUnderhacker u/Rachieash u/Philly_Boy2172 u/whitingro u/Liberteer30 u/Jazzlike-Orange-7005 u/heartattack13 u/Mountain_Chip_4347 u/Panem-et-circenses25 u/davidgrayPhotography u/Cl_Blanche u/neonsyrupz u/stellaandme u/Hot_Week3608 u/rushowen u/07Habits u/46n2_just_aheadofme u/prn006 u/EX1500 u/blueblazer2222 u/Stuesday-Afternoon u/caldodecanaecoxinha u/Dare_Ask_67 u/GlargBegarg u/panconjamon1996 u/Gmode109 u/hay10ween u/prevkh u/GFFMG u/Ebichaelmichael u/anoncheesegrater u/dilaraaaaaa u/Additional-Maize-246 u/Ghastly-Rubberfat u/QueasyWing3551 u/KillroyFSU u/FightingWithCandy u/mpanag u/WhereTFisPiper u/crime_dog27 u/Impossible_Wait_8947 u/manchester-bee u/Klaus-Heisler u/Swimming_Tiger_873 u/Remarkable-Sort-3624 u/Key_Court6110 u/ScorpionTrance u/Helpful-Sandwich5233 u/the_reddit_llama u/Ok_Golf_3358 u/Letfio15 u/HuckleCatt1 u/Hardtop_1958 u/Ok-Zombie-7864 u/bks1979 u/Unable_Committee_958 u/dodgycool_1973 u/Familiar-Bumblebee-8 u/LordChristoff u/Effective_pear4760 u/gone_grrl u/Correct_Advantage_20 u/Gloob-Records u/7listens u/cloggypop u/Cautious_Homework628 u/Frequent-Lock7449 u/stanfield1207 u/Royal_Ad_2653 u/rockinbonez u/Rhykos28 u/National_Head_3678 u/Fickle_Employer_3243 u/MaX-D-777 u/timberic u/Waltrip127 u/No_Sand_9290 u/potato--cakes u/EngineersFTW u/Maerie180 u/pimpnerd88 u/oldgar9 u/Air_Hellair u/Muted-Jacket-4772 u/Real_Masterpiece9071 u/RushBoingo u/Complete-Long-8587 u/crazyazbill u/Jazz57 u/okabedrpepper u/Gloomy_Change_7553 u/Bluekestral u/RadiantNothing9673 u/Ashamed_Engine_2522 u/Realistic-League-502 u/EastLakeLisa u/Hour-lie-4336 u/Clover-36 u/CherenkovLady u/ashleeclore u/oceansoul119 u/hey_little_bird u/West_Personality_528

Thank you tons for all the new music you introduced me to !! I'm sure I'm missing a few of you who helped me, and I apologize for that !
This year I do a better system of keeping track of those who helped me.

Data: Quarterly reports of CD Projekt, Embracer Group, Paradox Interactive and 11 Bit Studios (2018-2025)*

Tools: Excel, PowerPoint

Method: Revenues are indexed to each company's highest quarterly peak (100%) to compare volatility regardless of company size.

Note on Embracer: Adjusted their non-standard fiscal year to match calendar quarters for consistency.

A few insights:

• CD Projekt & 11 Bit Studios: Total "hit-driven" models. See the massive Cyberpunk spike!
• Embracer: A bit of a roller coaster. The trend is messy because of all the buying (M&A) and recent selling (divestments), but you can still spot the Saints Row and Dead Island 2 bumps. Embracer is a bit different from the rest, as it comprises >70 internal dev studios
• Paradox: Their "floor" is way higher because of the frequent DLC releases.

Sidenote: I’m already prepping for the GTA VI launch; that Take-Two spike is going to be massive. Can't wait to chart it!

\* https://www.cdprojekt.com/en/investors/

https://embracer.com/investors/reports-presentations/

https://ir.11bitstudios.com/en/financial-data/

https://www.paradoxinteractive.com/investors/financial-reports

Source: OC

Tool: Sankey

Data Collection Period: app. 90 days from early November 2023 to early February 2024

Location: Major European city, pop. 1-2 million

Used Dating Apps: Badoo, Boo, Bumble, Tinder

Summary and Comments: Being single for well over a year and exhausted of an existing FWB situation that was clearly going nowhere, I created accounts on several dating apps (see above) in early November 2023. This was the first time I ever used these dating apps. My goal was to find a long-term relationship, but I was still open to short-term (stated in my profiles). My profiles were only in the language used in my country (not English), stated my age (26M), contained about 5 or 6 photos of myself (same for all apps and mostly selfies), and several (hopefully at least a bit funny) sentences about myself mentioning my likes and interests, education (school, what field I have masters in and that I'm getting a PhD), and (superficially, I know) my height (190 cm or 6'3).

I used the apps most days to give out likes and start or continue conversations. Some days (particularly towards the end), however, I gave out no likes because I simply forgot or wasn't in the mood. I guess that during the period, I would spend about 1-2 hours a day on average managing all 4 profiles.

Over the course of the app. 90 days my profile received slightly over 900 likes (not possible to quantify precisely for all apps, as some seem to have likes that disappear after some time, and there being some unmatches and deleted accounts, as well). These likes then turned to app. 700 matches, most of which (230) were on Tinder. Interestingly enough, even though I received around 350 (a half) matches on Badoo and Boo, none of these actually led to any dates whatsoever, meaning that all the first dates (21) were actually results of Bumble and Tinder conversations. Also, probably due to my height, quite a lot of my matches came from women who were themselves noticeably taller than average (quite often 175 cm or 5'9+).

After getting a match I usually tried to start the conversation (except on Bumble where it generally is not possible). When possible, I tried picking up something from the girl's profile. In about 420 cases I got no response (majority), bot spam (not many cases, surprisingly), or the conversation fizzled out within 2-3 messages. In the remaining app. 280 cases I got longer conversations (at least 5-10 messages), but these usually also fizzled out due to varied reasons. Furthermore, while Bumble officially only allows women to start the conversation, most women there actually started the conversations with a "hey" or some gif, effectively passing the start of the conversation to me, meaning that I started the conversation in the vast majority of cases on all apps.

In the end, I got about 21 first dates, all of which came from Tinder or Bumble and most of which happened in November and December 2023, as starting from January 2024 I was more busy with looking for a job and working on school related stuff. The youngest woman I went on a date with was 21 and the oldest was 28. The average age of the women I went out with was 24-25. In the end, I had two ONS during the 90 days and almost entered another FWB situation, but in the end decided against it. The most dates I went on was five (with two women). We decided to not continue our budding FWB situation with the first woman around the fifth date.

The second woman turned out to be the most amazing woman I've ever met, and we have now been dating for almost two years. Funnily enough, my gf actually first saw my Bumble profile after it was sent to her by her friend (who though we might be a good match), we then met several weeks later on Tinder, went on a first date the first week of February (after getting her socials I effectively stopped to use all the apps) and started officially dating in early March.

data: GFS forecast from UCAR server
viz: ParaView, python, Powerpoint
data link: https://www.unidata.ucar.edu/data/nsf-unidatas-thredds-data-server

Forecast for Jan 26th at 18 UTC. Shaded colors are surface temperatures with a white line at the freezing point (0 C, 32 F). The light blue band is the jet stream in the middle of the troposphere and the dark blue band is the stratospheric polar vortex. For more info on the relationship and what we know and don't know about the link to climate change, please see: https://theconversation.com/how-the-polar-vortex-and-warm-ocean-are-intensifying-a-major-us-winter-storm-274243

This is a very dangerous storm, please use official NWS forecasts for guidance (weather.gov). Also, please note that our ability to predict, understand, and respond to severe weather critically relies on the work of US federal employees and national laboratories.

Mathew Barlow
Professor of Climate Science
University of Massachusetts Lowell