Get smarter, faster. Subscribe to our daily newsletter.
There are 12 million stateless people in the world. Who are they?
Without a country to belong to, many of these people lack some of the most fundamental rights.

- According to the United Nations High Commissioner for Refugees, the world is host to 12 million people who don't officially belong to any state.
- People can become stateless through a variety of means, including racial discrimination, sexist nationality laws, voluntary choice, or bureaucratic accidents.
- Who are these millions of stateless individuals? What is life like for them? Can their situation be solved?
You can live in a country for your entire life, but due to some circumstance of your birth or political machinations outside of your control, you can be denied an education, healthcare, employment, legal rights, any kind of identification, and many other things that your peers may have access to. Statelessness may live entirely in the realm of abstract bureaucracy, but it can have some very real and concrete impacts on your life.
The United Nations High Commissioner for Refugees (UNHCR) reports that roughly 12 million people across the globe do not belong to any state. Some gave up their statehood willingly, others had it taken away from them by a vindictive government, and others just never had statehood in the first place.
How do people become stateless?
Often, statelessness arises due to the quirks of international law. For instance, many states offer citizenship based on either jus soli — where individuals born in a given nation acquire that nationality — jus sanguinis — where citizenship is inherited from one's parents — or some combination of the two. When these systems have cracks, sometimes the result can be statelessness.
For instance, Canada offers citizenship through jus sanguinis, but only for one generation. Rachel Chandler's father had been born in Libya but was a Canadian citizen due to Canadian nationality laws. Chandler was born in China to a Chinese mother, but she was still ineligible for citizenship under Chinese law. As a second-generation, foreign-born Canadian, she was also ineligible for Canadian citizenship, and thus became stateless.
Another major source of statelessness is due to sexism. Twenty-five states also don't permit mothers to pass on their nationality in the same way that fathers can, as is the case in Iran, Qatar, and Kuwait. When the father is stateless himself, unmarried to the mother, or has died, among other reasons, offspring in these countries suddenly find themselves without a nation.
Others renounce their statehood or lose their statehood when their nation dissolves — as was the case for many native Russian Soviet citizens living in Estonia and Latvia, who suddenly became stateless when the Soviet Union dissolved.
The main source of statelessness, however, arises due to states discriminating against a particular group. The Syrian government, for example, stripped hundreds of thousands of Kurds of their statehood in a 1962 census, claiming that the Kurds had immigrated illegally, and sparking considerable international criticism. Today, the Myanmar government is perhaps the biggest contributor to the modern stateless population with their refusal to grant the Rohingya people citizenship. The Rohingya have been present in Myanmar since the 8th century, but the state only offers citizenship to 135 legally recognized ethnic groups, of which the Rohingya do not belong. Instead, Myanmar appears to intend to expel its Rohingya population.
Notable examples of statelessness
Mehran Karimi Nasseri's living quarters in Charles de Gaulle airport. Photo credit: Christophe Calais / Corbis via Getty Images
Albert Einstein had a very interesting political history, bouncing from German to Swiss back to German to U.S. citizenship. However, in between the years in which he was a German and Swiss citizen, Einstein was stateless for five years. Though he was born in the German Kingdom of Württemburg, Einstein renounced his citizenship in order to avoid military service in 1896. Five years later, he would be granted Swiss citizenship.
Mehran Karimi Nasseri was not so lucky. He has been allegedly stateless since 1977, and 18 of those years he spent living in Charles de Gaulle airport. Nasseri claims to have been expelled from Iran, his home country, for protesting the Shah. He decided to move to Britain, but the travel documents that listed him as a refugee — which provided him a legal basis to seek citizenship in Europe — were stolen during a layover in France. Nasseri continued onto Britain regardless and was returned to France by British authorities. French officials intended to deport him but could not; Nasseri had no country of origin to be deported to.
A French court concluded that Nasseri had entered the country legally, but he could not leave the airport. It was only until 2006 that Nasseri left Charles de Gaulle due to an unknown illness requiring his hospitalization. The 2004 film The Terminal used Nasseri's story for inspiration.
Garry Davis voluntarily renounced his U.S. citizenship in 1948, partially due to his brother's death in World War II and his own participation in the war as a B-17 bomber. Davis interpreted Article 13(2) of the Universal Declaration of Human Rights as allowing him the rights of a world citizen. In his later years, he would start the World Service Authority, a non-profit with the goal of promoting world citizenship and a world government. He also developed world passports, which he allegedly used to gain entry into some countries (though he was detained many times).
Though these examples highlight some of the more whimsical ways one can lose their statehood, most stateless persons suffer a significant amount of abuse because of their lack of statehood. The UNHCR has stated its goal to end statelessness by 2024 by a variety of actions, among them:
- encouraging countries to change problematic laws (such as those 25 countries with gendered nationality laws),
- pushing discriminatory states toward reform through international pressure, and
- improving the process by which states dissolve or separate.
It's a lofty goal, but one can't help but to imagine that the stateless will always be with us.
How New York's largest hospital system is predicting COVID-19 spikes
Northwell Health is using insights from website traffic to forecast COVID-19 hospitalizations two weeks in the future.
- The machine-learning algorithm works by analyzing the online behavior of visitors to the Northwell Health website and comparing that data to future COVID-19 hospitalizations.
- The tool, which uses anonymized data, has so far predicted hospitalizations with an accuracy rate of 80 percent.
- Machine-learning tools are helping health-care professionals worldwide better constrain and treat COVID-19.
The value of forecasting
<img type="lazy-image" data-runner-src="https://assets.rebelmouse.io/eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpbWFnZSI6Imh0dHBzOi8vYXNzZXRzLnJibC5tcy8yNTA0Njk2OC9vcmlnaW4uanBnIiwiZXhwaXJlc19hdCI6MTYyMzM2NDQzOH0.rid9regiDaKczCCKBsu7wrHkNQ64Vz_XcOEZIzAhzgM/img.jpg?width=980" id="2bb93" class="rm-shortcode" data-rm-shortcode-id="31345afbdf2bd408fd3e9f31520c445a" data-rm-shortcode-name="rebelmouse-image" data-width="1546" data-height="1056" />Northwell emergency departments use the dashboard to monitor in real time.
Credit: Northwell Health
<p>One unique benefit of forecasting COVID-19 hospitalizations is that it allows health systems to better prepare, manage and allocate resources. For example, if the tool forecasted a surge in COVID-19 hospitalizations in two weeks, Northwell Health could begin:</p><ul><li>Making space for an influx of patients</li><li>Moving personal protective equipment to where it's most needed</li><li>Strategically allocating staff during the predicted surge</li><li>Increasing the number of tests offered to asymptomatic patients</li></ul><p>The health-care field is increasingly using machine learning. It's already helping doctors develop <a href="https://care.diabetesjournals.org/content/early/2020/06/09/dc19-1870" target="_blank">personalized care plans for diabetes patients</a>, improving cancer screening techniques, and enabling mental health professionals to better predict which patients are at <a href="https://healthitanalytics.com/news/ehr-data-fuels-accurate-predictive-analytics-for-suicide-risk" target="_blank" rel="noopener noreferrer">elevated risk of suicide</a>, to name a few applications.</p><p>Health systems around the world have already begun exploring how <a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7315944/" target="_blank" rel="noopener noreferrer">machine learning can help battle the pandemic</a>, including better COVID-19 screening, diagnosis, contact tracing, and drug and vaccine development.</p><p>Cruzen said these kinds of tools represent a shift in how health systems can tackle a wide variety of problems.</p><p>"Health care has always used the past to predict the future, but not in this mathematical way," Cruzen said. "I think [Northwell Health's new predictive tool] really is a great first example of how we should be attacking a lot of things as we go forward."</p>Making machine-learning tools openly accessible
<p>Northwell Health has made its predictive tool <a href="https://github.com/northwell-health/covid-web-data-predictor" target="_blank">available for free</a> to any health system that wishes to utilize it.</p><p>"COVID is everybody's problem, and I think developing tools that can be used to help others is sort of why people go into health care," Dr. Cruzen said. "It was really consistent with our mission."</p><p>Open collaboration is something the world's governments and health systems should be striving for during the pandemic, said Michael Dowling, Northwell Health's president and CEO.</p><p>"Whenever you develop anything and somebody else gets it, they improve it and they continue to make it better," Dowling said. "As a country, we lack data. I believe very, very strongly that we should have been and should be now working with other countries, including China, including the European Union, including England and others to figure out how to develop a health surveillance system so you can anticipate way in advance when these things are going to occur."</p><p>In all, Northwell Health has treated more than 112,000 COVID patients. During the pandemic, Dowling said he's seen an outpouring of goodwill, collaboration, and sacrifice from the community and the tens of thousands of staff who work across Northwell.</p><p>"COVID has changed our perspective on everything—and not just those of us in health care, because it has disrupted everybody's life," Dowling said. "It has demonstrated the value of community, how we help one another."</p>Octopus-like creatures inhabit Jupiter’s moon, claims space scientist
A leading British space scientist thinks there is life under the ice sheets of Europa.
Jupiter's moon Europa has a huge ocean beneath its sheets of ice.
- A British scientist named Professor Monica Grady recently came out in support of extraterrestrial life on Europa.
- Europa, the sixth largest moon in the solar system, may have favorable conditions for life under its miles of ice.
- The moon is one of Jupiter's 79.
Neil deGrasse Tyson wants to go ice fishing on Europa
<div class="rm-shortcode" data-media_id="GLGsRX7e" data-player_id="FvQKszTI" data-rm-shortcode-id="f4790eb8f0515e036b24c4195299df28"> <div id="botr_GLGsRX7e_FvQKszTI_div" class="jwplayer-media" data-jwplayer-video-src="https://content.jwplatform.com/players/GLGsRX7e-FvQKszTI.js"> <img src="https://cdn.jwplayer.com/thumbs/GLGsRX7e-1920.jpg" class="jwplayer-media-preview" /> </div> <script src="https://content.jwplatform.com/players/GLGsRX7e-FvQKszTI.js"></script> </div>Water Vapor Above Europa’s Surface Deteced for First Time
<span style="display:block;position:relative;padding-top:56.25%;" class="rm-shortcode" data-rm-shortcode-id="9c4abc8473e1b89170cc8941beeb1f2d"><iframe type="lazy-iframe" data-runner-src="https://www.youtube.com/embed/WQ-E1lnSOzc?rel=0" width="100%" height="auto" frameborder="0" scrolling="no" style="position:absolute;top:0;left:0;width:100%;height:100%;"></iframe></span>The scent of sickness: 5 questions answered about using dogs – and mice and ferrets – to detect disease
Could medical detection animals smell coronavirus?
Why large groups of people often come to the same conclusions
Study confirms the existence of a special kind of groupthink in large groups.
- Large groups of people everywhere tend to come to the same conclusions.
- In small groups, there's a much wider diversity of ideas.
- The mechanics of a large group make some ideas practically inevitable.
The grouping game
<img type="lazy-image" data-runner-src="https://assets.rebelmouse.io/eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpbWFnZSI6Imh0dHBzOi8vYXNzZXRzLnJibC5tcy8yNTQ1NDE2Ni9vcmlnaW4uanBnIiwiZXhwaXJlc19hdCI6MTYxMjI2MzA4OX0.RLrswIWbuEzHNqsw0F7EUrp9jPn7OulLPqCxcZT11ik/img.jpg?width=980" id="159b8" class="rm-shortcode" data-rm-shortcode-id="0feb15d2d7dde144c710c2f4f1e5350c" data-rm-shortcode-name="rebelmouse-image" data-width="2767" data-height="382" />Some of the shapes used in the experiment
Credit: Guilbeault, et al./University of Pennsylvania
<p>The researchers tested their theory with 1,480 people playing an online "Grouping Game" via Amazon's Mechanical Turk platform. The individuals were paired with another participant or made a member of a group of 6, 8, 24, or 50 people. Each pair and group were tasked with categorizing the symbols shown above, and they could see each other's answers.</p><p>The small groups came up with wildly divergent categories—the entire experiment produced nearly 5,000 category suggestions—while the larger groups came up with categorization systems that were virtually identical to each other.</p><p><a href="https://www.asc.upenn.edu/news-events/news/why-independent-cultures-think-alike-its-not-in-the-brain" target="_blank">Says Centol</a>a, "Even though we predicted it, I was nevertheless stunned to see it really happen. This result challenges many long-held ideas about culture and how it forms."</p><p>Nor was this unanimity a matter of having teamed-up like-minded individuals. "If I assign an individual to a small group," says lead author Douglas Guilbeault, "they are much more likely to arrive at a category system that is very idiosyncratic and specific to them. But if I assign that same individual to a large group, I can predict the category system that they will end up creating, regardless of whatever unique viewpoint that person happens to bring to the table."</p>Why this happens
<img type="lazy-image" data-runner-src="https://assets.rebelmouse.io/eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpbWFnZSI6Imh0dHBzOi8vYXNzZXRzLnJibC5tcy8yNTQ1NDE4NC9vcmlnaW4uanBnIiwiZXhwaXJlc19hdCI6MTYyMjkzMDg0Nn0.u2hdEIgNw4drFZ2frzx0AJ_MAxIizuM98rdovQrIblk/img.jpg?width=980" id="d3444" class="rm-shortcode" data-rm-shortcode-id="5da57d66e388fad0f1c17afb09af90a7" data-rm-shortcode-name="rebelmouse-image" data-width="1440" data-height="822" />The many categories suggested by small groups on the left, the few from large groups on the right
Credit: Guilbeault, et al./Nature Communications
<p>The striking results of the experiment correspond to a <a href="https://www.nature.com/articles/s41562-019-0607-5" target="_blank">previous study</a> done by NDG that investigated tipping points for people's behavior in networks.</p><p>That study concluded that after an idea enters a discussion among a large network of people, it can gain irresistible traction by popping up again and again in enough individuals' conversations. In networks of 50 people or more, such ideas eventually reach critical mass and become a prevailing opinion.</p><p>The same phenomenon does not happen often enough within a smaller network, where fewer interactions offer an idea less of an opportunity to take hold.</p>Beyond categories
<p>The study's finding raises an interesting practical possibility: Would categorization-related decisions made by large groups be less likely to fall prey to members' individual biases?</p><p>With this question in mind, the researchers are currently looking into content moderation on Facebook and Twitter. They're investigating whether the platforms would be wiser when categorizing content as free speech or hate speech if large groups were making these decisions instead of lone individuals working at these companies.</p><p>Similarly, they're also exploring the possibility that larger networks of doctors and healthcare professionals might be better at making diagnoses that would avoid biases such as racism or sexism that could cloud the judgment of individual practitioners.</p><p>"Many of the worst social problems reappear in every culture," notes Centola, "which leads some to believe these problems are intrinsic to the human condition. Our research shows that these problems are intrinsic to the social experiences humans have, not necessarily to humans themselves. If we can alter that social experience, we can change the way people organize things, and address some of the world's greatest problems."</p>From NASA to your table: A history of food from thin air
A fairly old idea, but a really good one, is about to hit the store shelves.
