Has a side hustle (i.e. earns money from something other than their job) Knows what DNA stands for and can spell it in full Posts on social media daily Sees themselves as a good dancer Can describe 'machine learning' in a way that can be understood by a lay person Sends Christmas Cards Acquired a dog or cat during lockdown Has been to the Olympics Brews beer Walks more than 10000 steps a day Likes to play computer games Is always on time Has been to more than 3 continents Likes true crime podcasts Could be a potential research collaborator Likes to do gardening Works in renewables Wants to create a start-up Grew up in a City Never works on their research at the weekends Is a physicist Can quote Pi to 5 decimal places Has been at Imperial for more than 4 years Can do a cartwheel Has a side hustle (i.e. earns money from something other than their job) Knows what DNA stands for and can spell it in full Posts on social media daily Sees themselves as a good dancer Can describe 'machine learning' in a way that can be understood by a lay person Sends Christmas Cards Acquired a dog or cat during lockdown Has been to the Olympics Brews beer Walks more than 10000 steps a day Likes to play computer games Is always on time Has been to more than 3 continents Likes true crime podcasts Could be a potential research collaborator Likes to do gardening Works in renewables Wants to create a start-up Grew up in a City Never works on their research at the weekends Is a physicist Can quote Pi to 5 decimal places Has been at Imperial for more than 4 years Can do a cartwheel
(Print) Use this randomly generated list as your call list when playing the game. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.
I-Has a side hustle (i.e. earns money from something other than their job)
N-Knows what DNA stands for and can spell it in full
O-Posts on social media daily
B-Sees themselves as a good dancer
B-Can describe 'machine learning' in a way that can be understood by a lay person
G-Sends Christmas Cards
N-Acquired a dog or cat during lockdown
I-Has been to the Olympics
O-Brews beer
G-Walks more than 10000 steps a day
O-Likes to play computer games
I-Is always on time
I-Has been to more than 3 continents
N-Likes true crime podcasts
O-Could be a potential research collaborator
B-Likes to do gardening
G-Works in renewables
B-Wants to create a start-up
N-Grew up in a City
O-Never works on their research at the weekends
G-Is a physicist
G-Can quote Pi to 5 decimal places
I-Has been at Imperial for more than 4 years
B-Can do a cartwheel