Words are easy, like the wind;
Faithful friends are hard to find.
The uncountries are places that don't exist, but perhaps should. If you're starting your own country or are hoping to secede from your current employer (here's looking at you States of the US), you might find this list useful.
The list of uncountries is generated by training on list of 257 countries and territories.
Here's my bucket list of where I'm going next:
Below are the alphabetically first 4–10 letter single-word uncountries for each letter. In some cases, no names of a given length were generated for a given letter.
And below are uncountries that are composed of compound words. The neural network doesn't always do a good job in capitalization.
Here are all some lists with common suffixes
*nia Ariania Aruenia Bamenia Bolsnia Bukania Caminia Carenia Copania Eniania Eruinia Eryinia Eyuinia Fvounia Gapania Gorania Guyinia Imgania Lebania Lepania Mezania Pagonia Pamonia Piainia Pirania Saminia Sesinia Simania Somenia Sorinia Tinonia Turunia Urzenia Badetcinia Damalhania Denwarinia Inteniania Mangevinia Seregiania Tezadtinia Tudennenia Akinia Arenia Arunia Bocnia Boinia Bounia Buinia Burnia Byunia Caunia Eminia Gainia Geenia Geinia Giania Guania Guinia Guonia Gwinia Jhunia Jiinia Jirnia Kcenia Leinia Lornia Neenia Rernia Ruenia Sannia Shinia Siinia Siunia Suinia Uninia Vasnia Arefeonia Bevomania Dacucania Eziboonia Gibstania Klbininia Setrounia Shlatania Suunienia Teroninia EwDirireonia Aeirania Bemginia Bunyonia Canmania Carginia Carnania Cosrania Culiinia Cumiinia Duinania Ezupinia Geziania Guinenia Guurania Konvonia Lalzinia Lertania Marbania Nandania Narnania Nenconia Pastania Sadiania Sazcinia Sigwenia Smeminia Sonconia Surbania Taigonia Tebcania Tendania Unyrania Cania Conia Fania Henia Jania Jonia Kinia Lonia Mania Ninia Nonia Sania Tenia Tonia Vania
*lan Anualan Binelan Biselan Comelan Donolan Eduulan Iferlan Ilaslan Iudelan Papilan Potalan Srinlan Takilan Tamglan Cemuneilan Gehsyanlan Mecineslan Amurenoilan Aralan Cralan Geilan Inilan Innlan Kerlan Nanlan Sorlan Tnulan Beugeilan Condamlan Cunogslan Gantiulan Geevallan Gienyslan Memsinlan Mertorlan Minnaulan Mururolan Neminolan Sandeslan Sennerlan Titorilan Vertonlan Andenlan Betarlan Ceneslan Cunmelan Curislan Femanlan Geamilan Keberlan Larielan Meloelan Menrulan Molielan Otenelan Redallan SDatelan Selenlan Alan Glan Tlan Bolan Bulan Culan Galan Malan Selan Solan
*land Garland Hasland Ujoland Bandesland Benhelland Bhqlalland Dhinioland Lenkalland Macgalland Vuleslland Caland Feland Maland Saland Anderland Cemerland Geunoland Lutkaland Mowurland Panciland Parraland Anreland Asealand Hzuuland Maerland Masrland Memoland Namaland Navaland Ponoland Tuysland Vetaland
*ana Amynana Balpana Burgana Congana Fuubana Gainana Gaulana Guiiana Somuana Tartana Vehcana Cunheqrana Berniwhpana Antana Argana Buvana Mabana Merana Mobana Relana Rucana Semana Sikana Nteradana Gitanana Hana Lana Mana Sana Giana Guana Gvana Toana
*ica Cinuica Deyrica Goitica Maltica Mannica Merlica Peotica Raryica Sortica Stamica Sumhica Tektica Tiumica Utiuica Bemgbicica Aniica Bapica Narica Sanica Selica Sibica Gatuitica Iuperiica Ventalica Buuntica Bwentica Sorgeica Uica Baica Umica
*can Banecan Celican Jelican Pelecan Deslisacan Hatendacan Leucan Noccan Tircan Tlycan Shaylican Suniracan Cerarcan Emunecan Gepuucan Mamescan Salgican Vongican Ucan
*dan Euvadan Gtardan Monmdan Seundan Srisdan Unendan Banitisdan Ringkeldan Bildan Landan Saldan Soldan Sordan Tamdan Gakgasdan Mremaldan Stelosdan Lapardan Siwesdan Srunadan
*stan Baystan Caistan Velstan Gentiastan Getnicistan Naporrestan Gistan Mastan Tengastan Sinistan
*tar Lalatar Sanktar Simntar Somytar Swettar Temitar Burekertar Jartar Tantar Unitar Gornitar Satar
Quantile regression explores the effect of one or more predictors on quantiles of the response. It can answer questions such as "What is the weight of 90% of individuals of a given height?"
Unlike in traditional mean regression methods, no assumptions about the distribution of the response are required, which makes it practical, robust and amenable to skewed distributions.
Quantile regression is also very useful when extremes are interesting or when the response variance varies with the predictors.
Das, K., Krzywinski, M. & Altman, N. (2019) Points of significance: Quantile regression. Nature Methods 16:451–452.
Altman, N. & Krzywinski, M. (2015) Points of significance: Simple linear regression. Nature Methods 12:999–1000.
Outliers can degrade the fit of linear regression models when the estimation is performed using the ordinary least squares. The impact of outliers can be mitigated with methods that provide robust inference and greater reliability in the presence of anomalous values.
We discuss MM-estimation and show how it can be used to keep your fitting sane and reliable.
Greco, L., Luta, G., Krzywinski, M. & Altman, N. (2019) Points of significance: Analyzing outliers: Robust methods to the rescue. Nature Methods 16:275–276.
Altman, N. & Krzywinski, M. (2016) Points of significance: Analyzing outliers: Influential or nuisance. Nature Methods 13:281–282.
Two-level factorial experiments, in which all combinations of multiple factor levels are used, efficiently estimate factor effects and detect interactions—desirable statistical qualities that can provide deep insight into a system.
They offer two benefits over the widely used one-factor-at-a-time (OFAT) experiments: efficiency and ability to detect interactions.
Since the number of factor combinations can quickly increase, one approach is to model only some of the factorial effects using empirically-validated assumptions of effect sparsity and effect hierarchy. Effect sparsity tells us that in factorial experiments most of the factorial terms are likely to be unimportant. Effect hierarchy tells us that low-order terms (e.g. main effects) tend to be larger than higher-order terms (e.g. two-factor or three-factor interactions).
Smucker, B., Krzywinski, M. & Altman, N. (2019) Points of significance: Two-level factorial experiments Nature Methods 16:211–212.
Krzywinski, M. & Altman, N. (2014) Points of significance: Designing comparative experiments.. Nature Methods 11:597–598.
Celebrate `\pi` Day (March 14th) and set out on an exploration explore accents unknown (to you)!
This year is purely typographical, with something for everyone. Hundreds of digits and hundreds of languages.
A special kids' edition merges math with color and fat fonts.
One moment you're
:) and the next you're
Make sense of it all with my Tree of Emotional life—a hierarchical account of how we feel.