#rithm gymnastics | Explore Tumblr posts and blogs

frogs-are-cool-but-so-is-medea · 2 years ago

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thnx for the tag, I love this things so much :D

1. are you named after anyone?

One of my mom’s friend of her childhood

2. when was the last time you cried?

Yesterday (Saturday) 3am

3. do you have kids?

nope (minor)

4. do you use sarcasm?

No, definitely not (haha did u c what i did there)

5. what’s the first thing you notice about a person?

The things we have in common and we both like, their attitude/personality

6. what’s your eye color?

Light brown, hazel if you like

7. scary movies or happy endings?

happy endings

8. any special talents?

umm, memorizing an enormous amount of myths and stuff

9. where were you born?

Spain lol

10. what are your hobbies?

Reading, writing, listening to music, watching random stuff on tik tok, tumblr and youtube, drawing

11. have you any pets?

i used to have fishes (once there were lil shrimps :D) but now there aquarium is empty

12. what sports do you play/have played?

Rithm gymnastics (traumatic) and volleyball

13. how tall are you?

155 more or less, soy chikita :( (encima mi mamá siempre está recordándomelo >:c)

14. favorite subject in school?

history every now and then, maths sometimes and arts

15. dream job?

historian and/or writer

Tag: anyone who likes to do this thingies i guess

thank you for tagging me @ninesdb!

1. are you named after anyone? i’m named after a chick in a song

2. when was the last time you cried? when i went to see black panther: wakanda forever; i let a couple tears out a few days ago cuz i was thinking about my mom but i don’t think that counts as a good cry

3. do you have kids? just one. oh and a cat

4. do you use sarcasm? me? never

5. what’s the first thing you notice about a person? um… it depends tbh. sometimes i don’t even notice people at all

6. what’s your eye color? medium brown

7. scary movies or happy endings? happy endings

8. any special talents? making up meals without a recipe, mimicry, writing

9. where were you born? in a hospital

10. what are your hobbies? reading, writing, watching movies, doing silly voices, singing along to songs

11. have you any pets? just the cat

12. what sports do you play/have played? lol none. i’ll watch them but no one wants me to play them. i have no sporting abilities

13. how tall are you? 5’ 8 1/2”-5’9” somewhere around there

14. favorite subject in school? physics and history/art history and orchestra

15. dream job? small farm and restaurant owner, i want to grow the bulk of the ingredients myself. food tastes so much better when you’ve had a hand in every part of the dish

i tag @eusuntgratie @jemgirl86 @gpearls @glittercake with no pressure!

#loool #tag

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warninggraphiccontent · 3 years ago

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6 August 2021

The sun is shinin', come on get mappy

Ever found yourself floating aimlessly around the alphabet soup of UK government departments doing data, wondering who's responsible for what? Or lost track of all the interesting initiatives that you might be able to get involved with or learn from?

I'm delighted to be running a new project with the ODI that tries to help with that. We're mapping data responsibility and initiatives across the UK government here, so please do tell us what we've missed and comment on what we've already got. It'll be open for comments until Friday 10 September, so you have all summer to contribute.

There's a launch page explaining everything here, and we're also going to be publishing a blogpost a week focusing on a particular area of the ODI manifesto. This week is infrastructure week. Keep an eye on the ODI blog for future ones.

In other news:

A date for your diary - the 22nd Data Bites will be taking place on Wednesday 8 September at 6pm, thanks to ADR UK and the ESRC. Details will appear here in due course - which is also where you can catch up on the previous 21 events.

I'm also chairing an event for IfG at this year's Labour Party conference - more here.

I'm really sad to see this news about Understanding Patient Data (full disclosure - I'm doing some work for them at the moment). Natalie has done a terrific job, and I really hope their work is able to find a home elsewhere - it's more important than ever, given recent events.

Nick Timmins' new report on how the Department for Education handled the pandemic is well worth a read. Warning: contains mutant algorithms. Diginomica pull out some lessons on those here; my piece from last summer on that is here; and there are more links below.

If you enjoyed this account of what allegedly happened to that Spectator piece on Marcus Rashford (h/t Alice), pour yourself a cup of tea and enjoy this story of something similar from my time at the Media Standards Trust.

I did it - my first half marathon since 2019. There's still time to sponsor me and donate to the excellent Tommy's, here.

Warning: Graphic Content will now be taking a break until September. I'll be posting some things on Medium as well as on Twitter in the meantime, so do follow me there. If you need some other data-related newsletters, podcasts or event series to tide you over, there's a list for that. And if you know anyone else who should subscribe, encourage them to start the new school/parliamentary term in September the right way by signing up.

Enjoy the summer, thanks for subscribing, and see you in September

Gavin

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Today's links:

Graphic content

Tokyo shift

Olympic records are being broken at a record pace* (The Economist)

How the Olympics became bigger and more diverse* (The Economist)

What the Tokyo medal table tells us halfway through the Games (BBC Sport)

Russia and Kenya take the podium in the athletics doping contest* (The Economist)

Tokyo Olympics: Will Team GB beat its record-breaking performance in Rio? (Sky News)

20 Chinese gold medal contenders at the Tokyo 2020 Olympics (South China Morning Post)

Olympians are probably older — and younger — than you think* (Washington Post)

The Fastest Men In The World Are Still Chasing Usain Bolt (FiveThirtyEight)

Here's how Sydney McLaughlin of the U.S. won the 400-meter hurdles at #Tokyo2020, breaking her own world record (New York Times - more here)

Katie Ledecky's historic week, day by day* (Washington Post)

The Climber: Adam Ondra | The Hurdler: Dalilah Muhammad | The Gymnast: Sunisa Lee | The Swimmer: Simone Manuel (New York Times)

Viral content

Why are Covid cases falling in the UK?* (FT)

Excess deaths in your neighbourhood during the coronavirus (COVID-19) pandemic (ONS)

COVID-19: Sewage surveillance reveals 'widespread increase' of coronavirus in England last month (Sky News)

Covid travel: which countries are on the green, amber and red lists? (The Guardian)

Tim Spector: the data explorer who uncovered vital clues to Covid* (FT)

Which Americans are against the jab?* (The Economist)

Chart: Less than 0.1% of vaccinated Americans tested positive for COVID-19 (Axios)

America is plummeting down the global vaccination league table* (The Economist)

Florida’s hospitals set a bleak pandemic record* (FT)

How Europe, After a Fumbling Start, Overtook the U.S. in Vaccination* (New York Times)

Side effects

Why the pandemic is not making your rent cheaper* (New Statesman)

New York City Homebuyers Are Back, and They’re Looking for Deals* (Bloomberg)

Net worth

How Google quietly funds Europe’s leading tech policy institutes* (New Statesman)

Explore different settlements on the balance of power and what they mean for the future of the Internet (Demos)

Ransomware attacks rise despite US call for clampdown on cybercriminals* (FT)

Environment

Planetary ‘vital signs’ show extent of climate stress — and some hope* (FT)

How heat dome has sparked worst wildfires in a decade across parts of Southern Europe (Sky News)

Beyond human endurance: How climate change is making parts of the world too hot and humid to survive* (Washington Post)

Race

The 'ethnic data gap' on voters - and why it matters to parties and pollsters (Sky News)

Hollywood reaps the rewards of becoming more diverse* (The Economist)

The first ever machine generated map of the @UKParliament treaty procedure (UK Parliament)

Favourability towards Boris Johnson falls to lowest level since October (Ipsos MORI)

Productivity: firing on all cylinders (IfG)

Mathematician Hannah Fry: ‘I’m sure there’s lots of tutting — but not to my face* (FT)

Everywhere else

‘It’s Huge, It’s Historic, It’s Unheard-of’: Drug Overdose Deaths Spike* (The Upshot)

Elon Musk’s Outrageous Moonshot Award Catches on Across America* (Bloomberg)

Police shootings continue daily, despite a pandemic, protests and pushes for reform* (Washington Post)

People in the West are least worried about hurtful speech* (The Economist)

An Inca highway still benefits people living nearby* (The Economist)

German election 2021: The New Statesman’s poll tracker* (New Statesman)

Meta data

Information health

Statistics informing quarantine requirements for arrivals to England (Office for Statistics Regulation)

Review of NHS Test and Trace (England) and NHS COVID-19 app statistics (Office for Statistics Regulation)

What we mean by trustworthy use of patient data (Understanding Patient Data)

The future of Understanding Patient Data (Understanding Patient Data)

Lord Bethell’s new phone (Good Law Project)

UK government defends deleting all trace of job vacancies after appointing Matt Hancock's lover to health department board (Business Insider)

Education, education, education

Schools and coronavirus: The government’s handling of education during the pandemic (IfG)

The UK A-Level ‘COVID-19 algorithm fiasco’ and lessons for the enterprise (diginomica)

Four things government must learn from the A-level algorithm fiasco (me from last year for IfG)