Hannah Ritchie gave a brilliant and convincing TED talk last eeek in Vancouver. It is a classic principle—you cannot improve what you do not measure!

Inspired by Hannah and others who are seeking to understand our world and make it a better place. 

Delivering unconditional cash directly to the world's poorest households via secure mobile transfers. 

Since 2009, GiveDirectly has delivered more than $580 million in unconditional cash transfers to families in need. These one-time cash transfers allow recipients to invest in what they need most and have been shown to improve their earnings, children’s school attendance, health, nutrition, and mental well-being.
 
GiveDirectly uses government data to target villages where most or all residents are living in extreme poverty, defined by the World Bank as earning under $2.15/day. In-country GiveDirectly staff enroll one member of each household in the entire village to receive a one-time transfer of about $1,000 USD sent in two installments using mobile money. Recipients can then withdraw the mobile funds as cash with local agents and use the funds to invest in what they need – whether it’s on starting a business, education, making their home safer/sturdier, healthcare, or livestock.
 
GiveDirectly uses rigorous experimental research (randomized controlled trials) to measure the impact of their unconditional cash programs and answer public policy questions, generating evidence on key design and implementation questions across varied contexts. You can find over 300 studies on the positive impacts of cash transfers in GiveDirectly’s Cash Research Explorer.

GiveDirectly

Operation Breakthrough

Midwest Innocence Project

Communicating the best research and data to understand big global problems and make progress against them.

Poverty, disease, hunger, climate change, war, existential risks, and inequality: The world faces many great and terrifying problems. Our World in Data focuses on communicating the best research and data that helps us understand and find solutions to the world’s largest problems.

Our World in Data publishes an open-access publication where users can understand the state of the world today, where we are making progress and where we are falling behind. Through interactive data visualizations we can see how the world has changed; by summarizing the scientific literature we can understand why. We cover everything from global poverty to natural disasters, education and health, democracy; we have over 3500 charts across 300 topics.

Our World in Data is free, open-source and provided as a public good. It has millions of users every month, and is cited in research and media across the world every day. This allows millions of people to understand the large problems the world is facing, and how we can solve them. 

Our World in Data

21UazRTR3WkHCNYCFomS3+Fv4xxIPlKnGtLvQzlgpPk=

960tty1IQBN52fNAKCJ5MsbZa/kwpdUEomQrCmswxFM=

Monthly donations help nonprofits focus on mission and long-term impact, not fundraising. Cancel anytime.

AYubnnStGbcU9CeeHevoKfWFfHSV2AwooDDxbZyyBMI=

DkKEvILtcaLU/DwWDyD3nTV5+BuWKCijCGsrl36AK9M=

Kc7r3ieg0BJyCztmGf0I/8Jlmo02T4vymMmBJ0WYd9s=

MYnTRn3i6QlhFXMSgsKOvwB167EwCHFS+EglNMy70AE=

N6J6uC2BFpY1DBCCNGARPn6U5PWj+hjtybLRiPtieQE=

P4tcjBv99m+mR1oLlHA7veVssOWH2cJ8v/umjSkV7/c=

UIXtS/BVbVjQygCmErTh6MkmSoKxL1SD6f4cSQrQ78M=

We are a nonprofit, so instead of charging fees we rely on the generosity of donors like you.

Choose a donation for Every.org

WZGLK0ah3/lJ28GCVFcXJh4iUrhOCu9nPUjVGVzZ0/4=

Z4B5JvJU7x7WAOm3wiarGfdKmiu3LiuEjd0pJQujX6Y=

ZxxCsPEe2tgi5POXbbFnDmrOqKz7Ok0PYs6oJKfnPiw=

c36F0fExM9MduZZ4sfcX3DkoGzvXgMYD4V64Nsq9rz4=

eewneZk/U8cJJy5kviByPECdV+mEnSKBbVesV/vatWg=

rXOUHCGbU/LLNXrFEA1prfVrDASDw0gPl0CabBrQOPA=

xxTjdOcESj7ZbhlOOI2zvy1Jv0lGbaL6+FK2+n7w4FM=

yw17O0EYSkrlXCWE8PXdds9uNM7eZl0h66tpqf7bTL4=

BAvnAeqdENWIeCxbMNY2Xm4/LlTz2Th5PeSiWA7giBM=

CljFEFTlJ8CpaQOCWwtvb3tfCXlp584DdKl6/4VjS1Y=

GcaFeV4UbpCYfRkQovigfST27DnUkPIWIWYpWqGfeQ8=

HMbe47+AneGCvW/Xo3JKBD0CoNn+J5g7nYakke86o7I=

QNW+H2PwVn8vv9e5Iz1yCCrYO7y4m9mceodAr9ZQuGo=

Sv5FX/sOiPDw6v47XBCcSpHirFHEUWZgYTbzkNKkArE=

VejskeylB1NrOE1tE2oislbK6/slcCD9kGsOV4X0/O8=

XD7WW8JsE2Wq5zNvldYo02kE/9XhuTnMMRIiGDtJ/gw=

bQFp4jWM6bCInyogHe3c419vjd3JNA80Z5mP2IDokBs=

nkATwK3fk3GFuOAZZrpcw6OG7Qe3cYGaIJRtRQ5ufw0=

obDbLiisdQKAvWE6l9nk2Lg+chTOPWqLpLz+mb4YVVw=

q14o0EONZSuc0HViRAdjPcEpjceygaKWHZon938heU0=

qcX3q+6x9Yc2dQx1o2p4zFlnyxB1U1ocJ/+hos6xAe8=

wkinwsmnh6sm1myAdooh40Dc7QrEkeRQl3zIXWqlAGY=

y/N3O53bupdsxpOuytp6Tgj8jq+ivNQAe66a3Oro6iE=