A Penrose pattern of pentagons, stars and rhombs

Christmas 2026

«Patterns of Confidence»

Patterns don’t just help us recognise what we know. They expand our understanding of what might exist.

Patterns help us predict.

From seasons to satellites

For thousands of years, people observed patterns in nature and the sky to anticipate what came next. The changing seasons told them when to sow, when to harvest, and when to prepare for winter.

Four trees through the seasons

Estimated arrival time 17:42

Today, navigation systems analyse patterns in traffic, speed, distance, and time to predict our arrival. Different worlds. Same principle: Recognise patterns. Anticipate what comes next.

Patterns help us decide.

Recognising patterns allows us to make sense of complexity. Instead of analysing every situation from scratch, we compare what we see with what we already know.

Seeing what others might miss

A doctor recognises patterns in symptoms and test results to identify a disease. AI can help detect subtle patterns in medical data that might otherwise go unnoticed.

Researchers at Harvard have shown that AI can identify people at elevated risk of pancreatic cancer up to three years before diagnosis.

Abstract pattern of cells

Thinking several moves ahead

Chess is a game of patterns. Experienced players recognise familiar positions, threats, and opportunities – often without calculating every possible move.

The legendary Immortal Game, played by Adolf Anderssen and Lionel Kieseritzky in London in 1851, is a striking example of how recognising opportunities can lead to extraordinary decisions.

Chess position from the Immortal Game

Chess position from the Immortal Game: Black to move.

Order without repetition.

This pattern never repeats.

For centuries, mathematicians associated order with repetition. Then, in the 1970s, Roger Penrose demonstrated something unexpected: a pattern built from two simple shapes and precise rules that could extend infinitely without ever repeating periodically.

Order without repetition. Structure without periodicity.

The two Penrose tiles, kite and dart
A Penrose tiling in white lines on a bronze circle

When mathematics meets matter.

In 1982, Dan Shechtman observed an atomic structure with the ‘forbidden’ five-fold symmetry. The discovery of quasicrystals challenged established ideas about how matter could be organised. Patterns that once existed only in mathematics had found a counterpart in the physical world.

Patterns expand what’s possible.

The Penrose pattern did not predict the discovery of quasicrystals. But it showed that a different kind of order was possible.

The Einstein tile – one shape, no repetition.

For decades, mathematicians searched for a single shape that could cover an infinite plane, but only in non-periodic arrangements. In 2023, researchers presented the hat. It tiles the plane only aperiodically, but every such tiling needs some mirrored copies.

The hat tile and a patch of hat tiles
A patch of Spectre tiles

The Spectre – a tile with no mirror image.

Just two months later came the Spectre, sometimes called the vampire tile. Unlike the hat, it can tile the plane aperiodically using only translations and rotations – without requiring reflected copies.

A single shape, following simple rules, creates endless order without repetition.

A World in Patterns

Each grid has 100 dots. The same 100 dots can tell very different stories.

What the Swiss eat at Christmas4 poultry or turkey7 a festive roast11 fillet in pastry11 raclette26 something creative40 fondue chinoise1 rounding differenceOut of 100 people surveyed.Source: Blick survey, 14 December 2025.
If the world had 100 ski lifts51.5 in 61 other countries½ in GreeceJust over 5 in Switzerland6 in Germany12 in the USA12 in Austria13 in FranceTop 3: France, Austria and the USA. Source: Laurent Vanat (2022),International Report on Mountain Tourism.
How much sunshine is there in December?Athens: 43 of 100Munich: 25 of 100Zürich: 18 of 100Cloudy or foggyShare of daylight hourswith sunshine. Each citycounts from the bottom.Zürich/Fluntern and München-Stadt 1991–2020, Athens-Elliniko 1955–2010.Sources: MeteoSwiss; Statistical Office of Munich (DWD); HNMS.
How big are the cities?Greater Athens: 361 km²all 100 dotsMunich: 311 km² – 86Zürich: 92 km² – 25The City of Athens alonecovers just 39 km².1 dot = 3.6 km², one hundredth of Greater Athens. Incl. water.Sources: Statistik Stadt Zürich; Statistical Office of Munich; ELSTAT.
Who holidays in Greece?56 from other countries4 from the USA5 from France6 from Italy13 from the UK16 from Germany – no. 1Out of 100 international visitors in 2025 (about 38 million).Source: Bank of Greece, travel balance 2025 (provisional).
Who owns the world’s merchant fleet?55 other countries2 Switzerland3 Germany10 Japan14 China16 Greece – no. 1Share of cargo capacity (dwt) by owner country, 1 January 2025.Source: UNCTAD, Review of Maritime Transport 2025.
Christmases in Zürich1926–351936–451946–551956–651966–751976–851986–951996–052006–152016–2535 of 95 were whiteWhite ChristmasGreen Christmas1931–2025. White = at least 1 cm of snow on 25 December.No data before 1931. Data: MeteoSwiss.
Christmases in Athens1926–351936–451946–551956–651966–751976–851986–951996–052006–152016–257 of them had snowSnowfallGreen Christmas1926–2025. Snowfall recorded in Athens, 24–26 December.Data: National Observatory of Athens (Thiseio), ClimateHub (2025).
Christmases in Munich1926–351936–451946–551956–651966–751976–851986–951996–052006–152016–2524 of 76 were whiteWhite ChristmasGreen Christmas1950–2025. White = at least 1 cm of snow on 25 December.No data before 1950. Data: DWD, evaluated by Kachelmannwetter.

Patterns of Confidence

History reveals patterns.

Again and again, we have turned scarcity into availability and seemingly fixed limits into new possibilities.

These patterns remind us what we are capable of.

Wherever you celebrate, we wish you a Merry Christmas and a Happy New Year!

Athens - Munich - Zurich

Tipp-Box

Mit diesen drei praxisnahen Tipps stellen Sie die richtigen Weichen, um Daten und KI in Ihrem Unternehmen zielgerichtet und wirkungsvoll zu nutzen.

1. «It’s a Journey»

Der Umgang mit Daten und der Einsatz von AI sind kein einmaliges Vorhaben, sondern ein kontinuierlicher Prozess. Sehen Sie den Weg als Reise: Lernen, anpassen, verbessern – Schritt für Schritt. Dafür braucht es Geduld, Lernbereitschaft und den Willen zur Weiterentwicklung.

2. Fokus auf Mehrwert - kein “Gugus”

Fangen Sie dort an, wo ein klarer Nutzen erkennbar ist – etwa bei einem konkreten Anwendungsfall mit überschaubarem Aufwand. So schaffen Sie erste sichtbare Erfolge und bauen Vertrauen in datenbasierte Lösungen und AI auf. Bleiben Sie dabei fokussiert: Vermeiden Sie technologische Spielereien, die interessant wirken, aber keinen echten Beitrag zum Ziel leisten.

3. Leadership Engagement

Datengetriebene Transformation gelingt nur, wenn sie aktiv von der Führung mitgetragen wird. Es genügt nicht, die Verantwortung an die IT zu delegieren. Führungskräfte müssen die Vision verstehen, sie glaubwürdig kommunizieren – und den Wandel sichtbar vorleben. Ihre Haltung prägt Akzeptanz und Dynamik im gesamten Unternehmen.