December 18, 2024 16:55 PM

Witches Do Water-Related Activities For Halloween In Sydney?

While Halloween has long been established as a holiday reserved for spooky things and other horrifying creatures, it is also a holiday wherein people could most take an opportunity to dress up and be someone else for the entire duration of the night.

You can have an entire pick of costumes - ranging from the pretty and glamorous, like a fictional movie character or a fictional creature like a fairy to the downright scary creature of the night like vampires, werewolves, zombies and probably the most famous of all - witches.

Halloween can also be celebrated however you please: whether you go to a costume party, go trick-or-treating or even just stay in bed, all curled up and having a marathon of your favorite Halloween movies, there are lots of ways you can spend this bone-chilling holiday.

In Sydney however, these witches (or rather people dressed as witches) opted to do water related activities in celebration of Halloween; while other people spent their Halloweens going to a costume party or trick-or-treating, these witches in Sydney opted to go waterskiing, wakeboarding and paragliding instead.

According to Yahoo New Zealand, the people who wore witch costumes and water-skied, wake boarded and went paragliding across Sydney Harbor's well known waters did it not only for the celebration of the Halloween, but also as a sign of welcome for a new superliner in its harbor, Carnival Spirit.

Though witches are normally pictured as mounting their brooms and using it to transport themselves to all sorts of places, this coven of witches didn't seem to find any trouble testing the waters of Sydney Harbor.

Cruise Industry News also reported that aside from the witches who wore flowing capes and black pointy hats, also seen on the 88, 500 ton ship was Fangelica, "a two-story high redback spider, which rode into town on bow of the ship."


from Magique: Sydney Halloween Cruise 2016

Tags
Sydney, Australia
Join the Discussion
Real Time Analytics