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Distractions and amusements, with a sandwich and coffee.

Twenty — minutes — maybe — more.
•
• choose four words
• more quotes

Words are easy, like the wind;

Faithful friends are hard to find.

—William Shakespeare

This is the biggest list—887,716 English *unwords*, generated from a list of 479,000 list of English words.

Medically compelling words, defined by some interesting suffixes (e.g. phobia), are presented in the *undiseases* section.

The list of *unwords* is filtered to exclude any hyphenation and apostrophes. I've made no attempt to stem the words—for example, to remove what appear to be plural forms.

baf

cah

daf

ebz

fal

gaa

hea

ibb

jaa

kaa

laa

maq

nai

oaa

paa

qqu

raz

sbz

tah

uea

vae

wel

xni

yab

zaa

bace

caak

dabn

eacc

faha

gaag

hadr

ibal

jabo

kaah

laep

maal

naan

oaah

paan

qeit

raef

sabm

taak

ubed

vace

wanr

xake

yada

zaac

babne

caang

dabna

eable

fadus

gaaba

habwe

iaced

jaacm

kaaab

ladde

maaco

naars

oaads

paabs

qeisa

radlo

sabil

tabal

udsel

vaard

wance

xibne

yebon

zaach

babold

caabah

dabnar

eables

facont

gaaada

habway

iacect

jaaday

kaadey

laclic

maakin

nabens

oaagee

paabay

quaben

raldos

sabane

taaque

udnygs

vabara

wamfly

xennis

yeamyl

zaaced

bacadil

caamale

daajarg

eabemic

facomas

gaabags

habwest

iacects

jaabate

kabadis

laclics

maakite

naaquan

oaalake

paaband

qeitage

raemony

sabanal

tabater

ubecide

vabitat

walcama

xeaiate

yazoris

zaacure

bacacree

caamahoo

dabnasas

eabidion

facomate

gaabacte

habwoofs

iaccuate

jaabarly

kabalion

lacloses

maaglive

nabaneer

oaaldiza

paabands

qeinator

ramaness

sabaless

tabakton

uangorin

vabipans

wameless

xeywords

ydneress

zaachner

bacaiting

caambaria

dabnaring

eablishes

facomania

gaaadedia

habwuiter

iacectium

jaadneway

kaahajout

laclidian

maacchial

nabaneest

oabarfort

paachting

qeinatory

raemoning

sabalaryl

taabotzle

udnyglyph

vabippary

wandwares

xendomate

yeesonian

zaachnick

bacaitings

caamahooed

daakarillo

eabialysis

facolatine

gaabustail

hacchotest

iabiaceous

jaabarness

kaagnation

lacloparia

maagillism

naantalous

oaadrooter

paacrasses

qturegrasm

raemonetts

sabalidase

tabiricate

uaragrable

vabipagean

wandwatark

xickinfert

yebonesses

zaacricker

bachplasted

caamahooing

dabnationer

eabidiology

facoscophic

gaablerment

hacchotized

ibbicarized

jaacoughter

kabstomment

lacloparian

maagilineal

nabionmaker

oabatrophic

paalligeret

quacidioned

raemonetted

sabalidated

tabisteculi

ubedability

vabipparies

wandwauning

yennishness

zaadishness

bachplasters

caamatoscope

dabnariolate

eablansmidal

facolubility

gaablikeness

hadeconwight

iaceulineson

jabification

kabheseeding

lacluntation

maachanavite

nabionership

oabatrophoic

paalodochord

quacefulness

raemonetting

sabalidation

tabjaceously

udnygromissi

vabippareism

wannachanced

yepenousness

zaachnickesh

bachanoloical

caamatoscopia

dabnationency

eablamanchium

facontagonite

gaaldrimahedy

hadiaboroness

iachomaniasis

jabimarometer

kabromedizone

lacrusization

maagilinolity

nabitariously

oacantraceous

paanolypaline

quaculiferous

rambreaulowed

sabanucelican

tabjaceousies

uemanociation

vabipparyment

wannachancing

xickingerline

yeryllinemism

zenbhidievine

bacecification

caamatoscopian

dabnationistic

eacenfigenised

facolubilities

gaarolatically

hacchotization

ibbicarization

jabimarosacily

kaihowfuklench

ladoculsionism

maakursismally

nactualization

oachuloglosynt

paalojiglactry

qansinquirosis

raemoologition

sabracoethygen

tabjaceousness

udnygromoidium

vaceheartedner

wannefictingly

yepfyrotarical

zalaedritellay

badainderedness

caanomaticnatic

dabstologically

eablaneonareous

facophthillahid

gaannificalpous

harrigonishment

ibbicarizations

jaberotherapeus

kabaelesiculous

lamphosescenter

maakuristically

nadastifferling

oachanosophagia

paaminguasechos

quaddractionism

rastarizingness

sabridaboletric

tacdicalization

uemalameisarian

vaceheartedness

wanenolaphonous

ynderapodometer

bakoographically

cabalothpization

dactalisingulate

eachematocarpous

fahfoiestheskule

gactiometrically

hadiaboastowning

ibbiographically

jabimoatalophesy

kawaddauriaceous

lamolatrological

maarographically

nadarogenesomacy

ochydramodenomic

paalodorrhaphrin

quaddractimation

rameocrasiferous

saconopasinectic

tachocroytograph

uemanobiological

vegonsculonizing

wandwatalvenwood

yermacographical

baeloazronahumian

cabritometrically

dabsomelscescence

eaticurlegittrial

failonesheeptress

gaarozooenciously

haudacycocetolite

iceiomorphization

jabufedereschilde

kawcayanganasasim

lamphophoraldumal

mabilioistarthine

naniquinpuffyaire

oachryptostecrous

pablinopolization

reaptillification

sabucetarculation

tachyphoschistomy

uemalodeativeness

vegonsculvinalize

whimsellepsitrify

zhonoussitization

bagoquincification

caccopstherization

dalatosephostomies

eacenfiginembiasis

fantrofingerniness

gaeragotisalgialis

hecalocorpossomies

icemohydrosemuline

jacunceuralization

kaitcholenthythris

leitocartronograph

mabersanthropalous

necrotimoperitoric

oachryptosphorenal

padlandfactiveness

quebunouscephalous

rearmidephenolitic

secrotomyzographic

tachycardometyrous

uenitanisticalness

vellheolinguachure

wanpimmenabilities

yermahvoacetoscoma

bahandaclionishness

cacethcoalyscraphic

dalanaphorrhachehic

eccolatibidological

fansomosacsimatical

gadiophoressessiric

hadiaboastripangous

icancraticulosality

kelocericostosthene

leliarystallization

mabersanthrological

nercrodyomeberation

odersotenographeral

palanreoncounterite

reconsosentializing

semidezalomolegneal

tagatomotheremotean

unberwrightenedness

velciarcomaryphitis

wenigrassiprulation

bedaginettaceousness

cachofigarpossometer

dactalismandolitrate

eachtrandrologistric

fedophosphotological

ganroldinocontonosus

henromycorrhhosoidal

iceiolarchythmiamoad

jabimoamordohechmood

kedipercustitalities

macalcromanchamiency

nondenchistentiation

ochyolorenentontagen

palnareoblothiameric

quebrobiogrhecartise

rerepervimestination

scartiometricolastic

talmacoparphocentone

undiffosoliopenazing

velluquithoreterical

bemicoloblacontomatic

cachoegnscophystomies

dalificationlessorate

eachygasonaryocarcour

fedorographistrolisan

gadicoarchioscopelous

hedetotypolorphograph

incentularsomoterasia

madychopheniaccuronal

nodaterationalization

octudioflorouphotopia

pechovobbintropnonaic

rechmodechmometrogamo

sabrilostehyricullite

tartosophazoloopellin

undyltracerbandenesol

vereurocerbordohycent

begipothranmaceraceous

caconsochnecoloscephal

danduocephalomosomeric

egyperyphopothermosate

frachipothostereinitis

gasciocatiosocrasilian

indaaldesitrehenalgian

malcuptisemothanculous

nercroplerographically

oecraumatressesthenibe

peaslothecamonometanic

quebrobiogrhecaryminal

reflesimomolithrosilic

secrotopoidontromastic

tatinochlogacyphologue

undongrensibiliatlemen

bembenocolbogistromatal

caciceptopomethyleneous

decletopyrrachystolmial

eiyandsceprinainization

galuardicolaristrolcoma

icetoplexistrosthhrenia

lucarucorynchomazintrin

macnchydrogeneumoseable

nonertertabolialization

orchopyrimosalgarositis

pantancoloideculaminone

tanacondrachonomethanic

My cover design for Hola Mundo by Hannah Fry. Published by Blackie Books.

Curious how the design was created? Read the full details.

*You can look back there to explain things,
but the explanation disappears.
You'll never find it there.
Things are not explained by the past.
They're explained by what happens now.
—Alan Watts*

A Markov chain is a probabilistic model that is used to model how a system changes over time as a series of transitions between states. Each transition is assigned a probability that defines the chance of the system changing from one state to another.

Together with the states, these transitions probabilities define a stochastic model with the Markov property: transition probabilities only depend on the current state—the future is independent of the past if the present is known.

Once the transition probabilities are defined in matrix form, it is easy to predict the distribution of future states of the system. We cover concepts of aperiodicity, irreducibility, limiting and stationary distributions and absorption.

This column is the first part of a series and pairs particularly well with Alan Watts and Blond:ish.

Grewal, J., Krzywinski, M. & Altman, N. (2019) Points of significance: Markov Chains. *Nature Methods* **16**:663–664.

*Places to go and nobody to see.*

Exquisitely detailed maps of places on the Moon, comets and asteroids in the Solar System and stars, deep-sky objects and exoplanets in the northern and southern sky. All maps are zoomable.

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.