Untitled Bingo - Call List

(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. 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.

1. Watches sports
2. Drinks 2+ coffee/day
3. Has met a celebrity
4. Took a gap year
5. Same favorite color
6. Seen the movie "Dark Waters"
7. Has binged a TV series
8. Likes to run
9. Likes pineapple on pizza
10. Has met a celebrity
11. Has 3 plants at home or in their office
12. Same favorite animal
13. Has done cell culture experiments
14. Has been skydiving
15. Plays Mahjong (mobile game included)
16. Works with zebrafish
17. Has run a half or full marathon
18. Has experienced a major lab disaster
19. Attended their last regional chapter meeting
20. Drinks 2+ coffee/day
21. Likes to hike
22. Has attended a conference abroad/internationally
23. Grew up in a different state/country than you
24. Likes board games
25. Studies heavy metals
26. Plays the piano
27. Works with rats or mice
28. Attended their last regional chapter meeting
29. Has an interesting hobby (ask them about it!)
30. Has played Pokémon or Pokémon Go
31. Has a reptile
32. unusual route to grad school
33. Has been skydiving
34. Participated in a CE course
35. Seen the movie "Dark Waters"
36. Presenting a poster
37. Same favorite color
38. Grew up in a different state/country than you
39. Read "Silent Spring"
40. March Birthday
41. Mentors an undergrad student
42. Likes to run
43. Knows a fun tox fact
44. Studies heavy metals
45. Same favorite animal
46. Has ridden a motorcycle
47. Presenting a platform talk (ask when)
48. Has run a half or full marathon
49. Prefers tea over coffee
50. Has played Pokémon or Pokémon Go
51. Has seen a movie in theaters this year
52. Star Wars fan
53. Has an ResearchGate profile
54. Has lived in 3+ states
55. Prefers tea over coffee
56. Likes watching horror movies
57. Loves genetics
58. Plays poker
59. Plays the piano
60. Has 3 plants at home or in their office
61. Is left-handed
62. Won a travel award
63. Watched a Tox documentary this year
64. Has an ResearchGate profile
65. Knows martial arts
66. Likes to volunteer
67. Likes watching horror movies
68. Plays video games
69. Holds a leadership role at SOT
70. Wears glasses
71. Loves chocolate
72. Likes to do karaoke
73. Likes board games
74. Grew up in the same state as you
75. Watched a Tox documentary this year
76. Likes pineapple on pizza
77. Shares another SOT Specialty Section with you
78. Has ridden a motorcycle
79. Mentors an undergrad student
80. Is a night owl
81. SOT newbie
82. Has done an internship
83. Read "Silent Spring"
84. Has visited the San Diego Zoo
85. Same undergraduate major
86. Has a Master’s degree
87. Won a travel award
88. Can sing the periodic table
89. Presenting a platform talk (ask when)
90. Has attended a conference abroad/internationally
91. Participated in a CE course
92. Is left-handed
93. Plays video games
94. Likes to fish
95. Is a TA
96. SOT newbie
97. Has read 5+ books this year
98. Loves roller coasters
99. Works with zebrafish
100. Knows a coding language (R, python, etc.)
101. Is a TA
102. Is a postdoctoral fellow
103. Has dyed their hair
104. Has visited the San Diego Zoo
105. Watches sports
106. First Time in California
107. Wearing fun socks!
108. Can sing the periodic table
109. Likes to bake
110. Knows a fun tox fact
111. Listens to podcasts (ask their favorite!)
112. Published a paper in Toxicological Sciences
113. Likes to volunteer
114. Is a night owl
115. Grew up in the same state as you
116. Uses machine learning
117. Same school for undergrad and grad
118. Does bioinformatic analysis
119. Has seen the Golden Gate Bridge
120. Has done an internship
121. Has visited Disneyland/ Disney World
122. Has seen a movie in theaters this year
123. Has lived in 3+ states
124. Is a postdoctoral fellow
125. Took a gap year
126. Loves roller coasters
127. March Birthday
128. Likes to bike
129. Is a morning person
130. Only Tox trainee in lab
131. Plays Mahjong (mobile game included)
132. Plays chess
133. Has dyed their hair
134. Likes to cook
135. Is a morning person
136. Lives in California
137. Published a paper in Toxicological Sciences
138. Has done cell culture experiments
139. Knows a coding language (R, python, etc.)
140. Has broken a bone
141. Listens to podcasts (ask their favorite!)
142. Has a reptile
143. Completed lab rotations
144. Likes to bake
145. Has a tattoo
146. Wearing fun socks!
147. Works with rats or mice
148. Shares another SOT Specialty Section with you
149. Star Wars fan
150. Does bioinformatic analysis
151. Has binged a TV series
152. Loves genetics
153. Likes to fish
154. Same school for undergrad and grad
155. Has beaten an escape room
156. Wears glasses
157. Holds a leadership role at SOT
158. unusual route to grad school
159. Loves chocolate
160. Has broken a bone
161. Has experienced a major lab disaster
162. Knows martial arts
163. Plays chess
164. Likes to bike
165. Has a dog or cat
166. Has a Master’s degree
167. Has read 5+ books this year
168. Likes to cook
169. Completed lab rotations
170. Studies persistent organic pollutants
171. Is a surfer
172. Knows 2+ languages
173. Has visited Disneyland/ Disney World
174. Same undergraduate major
175. Lives in California
176. Has a tattoo
177. Loves chemistry
178. Has beaten an escape room
179. Loves chemistry
180. Plays poker
181. Only Tox trainee in lab
182. Is a surfer
183. Likes to do karaoke
184. First Time in California
185. Uses machine learning
186. Likes to hike
187. Has seen the Golden Gate Bridge
188. Has an interesting hobby (ask them about it!)
189. Has a dog or cat
190. Presenting a poster
191. Knows 2+ languages
192. Studies persistent organic pollutants