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