recent bookmarks

Maps reveal hidden truths of our cities
In this video from the BBC, data scientist Robert Muggah explains the power of data visualizations through world maps to show refugee and migration flows, rising sea levels, fires, and light pollution.
map  climate  changes  cities  urban  migration  refugees 
10 days ago by jbuzz
Twitter
RT : 舞台「黒子のバスケ」ULTIMATE-BLAZE(アルティメット・ブレイズ)出演キャスト発表第1弾!黒子、火神、「キセキの世代」の7人がキャスト続投でついに全員揃い踏み!! #くろステ
from twitter
10 days ago by kiyala
Twitter
OK you guys, my intention is not to scare anyone with this message.

But Hurricane —the storm bound for No…
from twitter_favs
10 days ago by nowthis
Twitter
OK you guys, my intention is not to scare anyone with this message.

But Hurricane —the storm bound for No…
Florence  from twitter_favs
10 days ago by dalcrose
Twitter
OK you guys, my intention is not to scare anyone with this message.

But Hurricane —the storm bound for No…
from twitter_favs
10 days ago by drunkengrass
Twitter
OK you guys, my intention is not to scare anyone with this message.

But Hurricane —the storm bound for No…
Florence  from twitter_favs
10 days ago by andriak
Twitter
RT : HYPMIC BIG BANG SIGN-UPS HAVE OPENED! They'll be open until September 30, 2018 11:59 PM PST.

Sign up here! ✨…
from twitter
10 days ago by kiyala
Twitter
RT : One is “arguing a strike.” One is “having a meltdown.” 7 days apart.
from twitter_favs
10 days ago by gilcreque
Why work has failed us: Having a job doesn’t mean you can afford a home
In a stark illustration of how things have changed, Curbed compared the salary and housing prospects of a teacher in San Francisco today to one in 1959. In 2018, a teacher in San Francisco earns an average of $72,340–just a little more than Day was earning when she started at LendingClub. But the average cost of a home in the city is $1.61 million, for which a typical 30-year mortgage would require monthly payments of around $7,900—more than double the median monthly rent for a one-bedroom. In 1959, a teacher in San Francisco earned around $5,200 a year, but the average home in California cost $12,788, and they’d be looking at a mortgage of $59 a month. Adjusted for today: They’d be paying off a $109,419 home–quite comfortably–on a salary of $44,493.
10 days ago by hoboyobo
Replace ‘Tech’ With ‘Banks,’ and We’ve Seen a Big Comeuppance Before
A decade after Wall Street’s meltdown, the cloud growing over Silicon Valley is a reminder that trust can be awfully hard to regain once it’s lost.
from instapaper
10 days ago by evansims
Replace ‘Tech’ With ‘Banks,’ and We’ve Seen a Big Comeuppance Before - The New York Times
SAN FRANCISCO — When I moved to the Bay Area two years ago, it was with a sense of relief. Relief from New York winters and deteriorating subways, yes.
Archive  ifttt  nyt  op-ed  opinion 
10 days ago by odelano
Create a Zettelkasten for your Notes to Improve Thinking and Writing • Zettelkasten Method
Who is this for? People who want to improve their writing and coherent thinking,who are invested in so-called knowledge work and who connect ideas.This suits…
from instapaper
10 days ago by Shurs
PosteRazor - Make your own poster!
Enlarge images over multiple pages to make posters.

Similar to rasturbator except it tries to make the final result look just like a bigger copy of the original
photography  software  tools 
10 days ago by scale
Untitled (https://www.youtube.com/watch?v=xZ3KECAMpwo&feature=youtu.be&a)
I liked a video Hors-Cadre : Isle Of The Dead by Arnold Böcklin (English Version)
from twitter
10 days ago by jerry7171
Twitter
The Vatican Museums and Sistine Chapel are worth it. We didn't hire a guide but you definitely wan…
from twitter
10 days ago by mjpost
Twitter
RT : Wotcha Ruby fans. Coming this week: a ScotRUG meetup in Edinburgh. is coming to speak to us about Sheldo…
from twitter
10 days ago by sarcas
Understanding differential privacy and why it matters for digital rights - Access Now
In a globally private system, one trusted party, whom we’ll call the curator — like Alice, above — has access to raw, private data from lots of different people. She does analysis on the raw data and adds noise to answers after the fact. For example, suppose Alice is recast as a hospital administrator. Bob, a researcher, wants to know how many patients have the new Human Stigmatization Virus (HSV), a disease whose symptoms include inexplicable social marginalization. Alice uses her records to count the real number. To apply global privacy, she chooses a number at random (using a probability distribution, like the Laplacian, which both parties know). She adds the random “noise” to the real count, and tells Bob the noisy sum. The number Bob gets is likely to be very close to the real answer. Still, even if Bob knows the HSV status of all but one of the patients in the hospital, it is mathematically impossible for him to learn whether any particular patient is sick from Alice’s answer.

With local privacy, there is no trusted party; each person is responsible for adding noise to their own data before they share it. It’s as though each person is a curator in charge of their own private database. Usually, a locally private system involves an untrusted party (let’s call them the aggregator) who collects data from a big group of people at once. Imagine Bob the researcher has turned his attention to politics. He surveys everyone in his town, asking, “Are you or have you ever been a member of the Communist party?” To protect their privacy, he has each participant flip a coin in secret. If their coin is heads, they tell the truth, if it’s tails, they flip again, and let that coin decide their answer for them (heads = yes, tails = no). On average, half of the participants will tell the truth; the other half will give random answers. Each participant can plausibly deny that their response was truthful, so their privacy is protected. Even so, with enough answers, Bob can accurately estimate the portion of his community who support the dictatorship of the proletariat. This technique, known as “random response,” is an example of local privacy in action.

Differentially private systems are assessed by a single value, represented by the Greek letter epsilon (ϵ). ϵ is a measure of how private, and how noisy, a data release is. Higher values of ϵ indicate more accurate, less private answers; low-ϵ systems give highly random answers that don’t let would-be attackers learn much at all. One of differential privacy’s great successes is that it reduces the essential trade-off in privacy-preserving data analysis — accuracy vs. privacy — to a single number.

Privacy degrades with repeated queries, and epsilons add up. If Bob make the same private query with ϵ = 1 twice and receives two different estimates, it’s as if he’s made a single query with a loss of ϵ = 2. This is because he can average the answers together to get a more accurate, less privacy-preserving estimate. Systems can address this with a privacy “budget:” an absolute limit on the privacy loss that any individual or group is allowed to accrue. Private data curators have to be diligent about tracking who queries them and what they ask.

Unfortunately, there’s not much consensus about what values of ϵ are actually “private enough.” Most experts agree that values between 0 and 1 are very good, values above 10 are not, and values between 1 and 10 are various degrees of “better than nothing.” Furthermore, the parameter ϵ is exponential: by one measure, a system with ϵ = 1 is almost three times more private than ϵ = 2, and over 8,000 times more private than ϵ = 10. Apple was allegedly using privacy budgets as high as ϵ = 14 per day, with unbounded privacy loss over the long term.
differentialprivacy 
10 days ago by mike
Twitter
It’s funny, most of these are more than 90% male, yet you never hear the feminists complaining about a crisis that…
from twitter
10 days ago by mikekellogg
SimilarWeb | Website Traffic Statistics & Market Intelligence
Grow your market share and website traffic with SimilarWeb's digital market intelligence platform. Compare any website traffic statistics & analytics.
seo 
10 days ago by jason-powers
Twitter
I took 11 shots of tequila in about 4 hours once. I woke up on the front lawn of my parents’ house the next day. I…
from twitter_favs
10 days ago by jannik.schaefer
Twitter
I took 11 shots of tequila in about 4 hours once. I woke up on the front lawn of my parents’ house the next day. I…
from twitter_favs
10 days ago by miaeaton
Twitter
I took 11 shots of tequila in about 4 hours once. I woke up on the front lawn of my parents’ house the next day. I…
from twitter_favs
10 days ago by mawif
Twitter
I took 11 shots of tequila in about 4 hours once. I woke up on the front lawn of my parents’ house the next day. I…
from twitter_favs
10 days ago by beaugunderson
Twitter
I took 11 shots of tequila in about 4 hours once. I woke up on the front lawn of my parents’ house the next day. I…
from twitter_favs
10 days ago by osfameron
(429) https://twitter.com/i/web/status/1038978175185895425
I took 11 shots of tequila in about 4 hours once. I woke up on the front lawn of my parents’ house the next day. I…
from twitter_favs
10 days ago by hecavanagh
Twitter
I took 11 shots of tequila in about 4 hours once. I woke up on the front lawn of my parents’ house the next day. I…
from twitter_favs
10 days ago by trustfundbaby
Twitter
I took 11 shots of tequila in about 4 hours once. I woke up on the front lawn of my parents’ house the next day. I…
from twitter_favs
10 days ago by danmanchester
Twitter
I took 11 shots of tequila in about 4 hours once. I woke up on the front lawn of my parents’ house the next day. I…
from twitter_favs
10 days ago by pixelnated
Twitter
Great thread, emphasizing an aspect of a diverse society that is hard to articulate. And well in line with the trad…
from twitter_favs
10 days ago by jmorgenstern
Twitter
Rule one of Fry's: always make sure you don't get the one in the open box. It's practical…
from twitter
10 days ago by techreckoning
Twitter
RT : Alibaba co-founder Jack Ma to retire to focus on philanthropy
from twitter
10 days ago by khsing
Twitter
Adds Personalized Emoji Shortcuts for Quick Comments by
Instagram  from twitter
10 days ago by sodermanmarketing
Twitter
I saw the TV news footage of the JFK assassination from my crib in the dining room.
from twitter_favs
10 days ago by hfabulous
Twitter
NYT/Siena results mirror other data that show Rep. Erik Paulsen (R) in one of the weakest positions of any R…
MN03  from twitter_favs
10 days ago by girma
Twitter
If you have AirPods, they are a great way to use audio guides. You can each have one i…
from twitter
10 days ago by mjpost
Twitter
These familiar sounds will soon disappear from our world
More museums are preserving old technology, but an online…
from twitter
10 days ago by waynewilliamberninger
Twitter
Just staring into your soul
from twitter_favs
10 days ago by zen4ever
Twitter
WebAssembly keeps getting better with threads and SIMD, and no need for side loading that teaches bad habits, so...…
from twitter_favs
10 days ago by andydavies
Twitter
Prehnite #Ring #Green #925Silver #Gems #Ornament&Accents #GreatSellingShop #ValentineDayGift #GiftForChildrenDay #Ibizastyle #Riyogems #Ring #Prehnit #925Silber #Grün #Anneau #Prehnite #Argent925 #Vert #Anillo #Prehnita #Plata925 #Verde #Кольцо #Пренит #… https://t.co/lCG9gab30v pic.twitter.com/6l5O68xn3m

— Riyogems (@Riyogems) September 10, 2018
IFTTT  Twitter 
10 days ago by riyogems
Twitter
Prehnite #Ring #Gree https://t.co/8vmNoetCsn

— Riyogems (@Riyogems) September 10, 2018
IFTTT  Twitter 
10 days ago by riyogems
Twitter
RT : So for those of you wondering if we recorded open-world Spidey dialogue twice-- yes, we did. One "res…
spidermanps4  from twitter
10 days ago by Sabas
All This Talk of Voter Fraud? Across U.S., Officials Found Next to None
After all the allegations of rampant voter fraud and claims that millions had voted illegally, the people who supervised the general election last month in…
from instapaper
10 days ago by davejavou
« earlier      later »

Copy this bookmark:



description:


tags:



Copy this bookmark:



description:


tags: