Question: Take the gender split from the 2011 Bulgarian census about those who have completed tertiary education. Subtract the smaller number from the larger number, then return the difference in thousands of women. So if there were 30.1 thousand more men, you'd give "30.1"

1. Find the report put out by the Bulgarian on the 2011 census by searching.
2. Find the requested data under the Educational Structure Section of the Report.
3. 791.8 thousand women - 556.9 thousand men = 234.9 thousand women

1. search engine
2. pdf reader/extracter


Question: The Metropolitan Museum of Art has a portrait in its collection with an accession number of 29.100.5. Of the consecrators and co-consecrators of this portrait's subject as a bishop, what is the name of the one who never became pope?

1. I searched for "Metropolitan Museum of Art search collection" using a search engine to get to the "Search the Collection" page on the Metropolitan Museum of Art's website.
2. I selected "Accession Number" in the search field dropdown and entered "29.100.5" into the text input, noting that the only result is a portrait titled "Cardinal Fernando Niño de Guevara (1541–1609)"
3. I went to Fernando Niño de Guevara's Wikipedia page and noted that he was consecrated bishop by Pope Clement VIII with Camillo Borghese and Alfonso Visconti as co-consecrators.
4. I eliminated Pope Clement VIII as the answer since he was obviously a pope based on his title.
5. I went to Camillo Borghese's Wikipedia page and noted that he became Pope Paul V, eliminating him as the answer.
6. I went to Alfonso Visconti's Wikipedia page and noted that he never became pope, so the answer to the question is "Alfonso Visconti".


Question: The YouTube channel Game Grumps began a Let’s Play of the game Sonic the Hedgehog (2006) in the year 2012. Thirty seconds into the first episode, a phrase is shown on the screen in white letters on a red background. How many times does the letter "E" appear in this phrase?

1. Look up "Game grumps sonic 2006 playthrough".
2. Click on the first result and verify that it matches the parameters from the question.
3. Scrub to the thirty-second mark in the video.
4. Note the letters in white on the red background.
5. Count the letter "E"'s in the phrase.

1. Web browser
2. YouTube player
3. Color recognition
4. OCR


Question: The book with the doi 10.1353/book.24372 concerns a certain neurologist. According to chapter 2 of the book, what author influenced this neurologist’s belief in “endopsychic myths”? Give the last name only.

1. Search the web for 10.1353/book.24372.
2. Click link to read the book.
3. Click link for the second chapter.
4. Ctrl-F for “endopsychic” to find a relevant passage.
5. Read the passage to find the author the question is asking about, Kleinpaul.

1. Search engine
2. Web browser
3. PDF viewer


Question: The cover of the August 2021 issue of Vogue shows a famous landmark in the background behind some trees. How tall is this monument in yards, rounded to the nearest yard? Give the number only.

1. Use search engine to search for "Vogue August 2021 cover".
2. Find the result from Vogue's archive for the August 2021 issue and go to the webpage.
3. Identify the monument in the cover image as the Washington Monument.
4. Go to the Wikipedia page for the Washington Monument.
5. In the infobox, note that the height is 555 ft.
6. Convert 555 ft to yards using a conversion factor of 1 yd / 3 ft: 555 ft * 1 yd / 3 ft = 185 yd, giving a final answer of 185.

1. Web browser
2. Search engine
3. Image recognition tools
4. Calculator


Question: The longest-lived vertebrate is named after an island.  According to Wikipedia as of January 1, 2021, what is the 2020 estimated population of that island, to the nearest thousand?

1. Do a web search for "longest-lived vertebrate"
2. Find the answer, "Greenland shark"
3. Find the Wikipedia entry for Greenland
4. Look at the first revision dated January 1, 2021
5. Find the 2020 population estimate, 56081
6. Round to the nearest thousand, 56000

1. Web browser
2. Search engine
3. Access to Wikipedia
4. Natural language processor


Question: The object in the British Museum's collection with a museum number of 2012,5015.17 is the shell of a particular mollusk species. According to the abstract of a research article published in Science Advances in 2021, beads made from the shells of this species were found that are at least how many thousands of years old?

1. Use search engine to search for "British Museum search collection" and navigate to the British Museum's collection search webpage.
2. Select "Museum number" as search field and "2012,5015.17" in text box, then run search.
3. Open the page for the single result and note that the description says that this is the shell of an individual of the Nassa gibbosula species.
4. Use search engine to search for "Nassa gibbosula".
5. Note that according to the search result from the World Register of Marine Species website, Nassa gibbosula is not an accepted species name.
6. Open the page for Nassa gibbosula on the World Register of Marine Species website.
7. Scan the page and note that the accepted species name is Tritia gibbosula.
8. Use search engine to search for "Science Advances 2021 Tritia gibbosula".
9. Find that the top result is an article from 2021 in Science Advances titled "Early Middle Stone Age personal ornaments from Bizmoune Cave, Essaouira, Morocco".
10. Scan abstract and note that the article discusses beads made from Tritia gibbosula shells that date to at least 142 thousand years ago, giving a final answer of 142.


Question: The photograph in the Whitney Museum of American Art's collection with accession number 2022.128 shows a person holding a book. Which military unit did the author of this book join in 1813? Answer without using articles.

1. Use search engine to search for "Whitney Museum of American Art collection search".
2. Go to the Whitney Museum's collection search webpage.
3. Enter 2022.128 in the search box and submit the search.
4. Open the single result, titled "Rain in Rifle Season, Distributions from Split-Interest Trusts, Price Includes Uniform, Never Hit Soft, 2003".
5. Verify that this photograph has the correct accession number.
6. Note that the subject of the photograph is holding the book "On War", by Carl von Clausewitz.
7. Go to the Wikipedia page for Carl von Clausewitz.
8. Search the page for 1813 to find that Carl von Clausewitz joined the Russian-German Legion in 1813.
9. Go to the Wikipedia page for Russian-German Legion to verify that this was a military unit.

1. Web browser
2. Search engine
3. Tool to extract text from images


Question: The work referenced in footnote 397 of Federico Lauria's 2014 dissertation is also the source for the titles of two paintings in the Smithsonian American Art Museum's collection, as of August 2023. What is the absolute difference between the chapter numbers of the chapters that the titles of these two paintings quote?

1. Use search engine to search for "Federico Lauria's 2014 dissertation".
2. Open the result from philarchive.org and open the PDF file for the full paper.
3. Search for footnote 397 to find that the referenced work is Thomas Hobbes's "Leviathan".
4. Use search engine to search for "Smithsonian American Art Museum collection search".
5. Go to the museum's search webpage.
6. Enter "Hobbes Leviathan" into the search box and submit the search.
7. Open the two results, one by Jan Stussy ("A free man...") and one by Leon Karp ("Hereby it is manifest...").
8. Verify from the full titles of these works that the titles are quotes from "Leviathan".
9. Use search engine to search for "Thomas Hobbes Leviathan full text".
10. Open any result that contains the full text, like the Project Gutenberg version.
11. Search the text for the titles of each painting, using different substrings from the titles as needed to account for variations in spelling and punctuation.
12. Find that the "A free man..." quote is from Chapter XXI (21) and that the "Hereby it is manifest..." quote is from Chapter XIII (13).
13. Calculate the absolute difference of the chapter numbers: 21 - 13 = 8.

1. Web browser
2. Search engine
3. Calculator


Question:
This is a secret message my friend gave me. It says where we should meet for our picnic on Friday. The only problem is, it’s encrypted in the Caesar cipher, so I can’t read it. Can you tell me what it says? This is the message:

Zsmxsm sc sx Zyvilsec Zvkjk.

1. Search the web for “Caesar cipher decrypt”.
2. Click on top result, a decoding website.
3. Enter the message into the text box.
4. Click “DECRYPT (BRUTEFORCE)” to get all possible decryptions.
5. Scroll through the results, noting that one possibility matches the user’s scenario of having a picnic.


Question:
Use density measures from the chemistry materials licensed by Marisa Alviar-Agnew & Henry Agnew under the CK-12 license in LibreText's Introductory Chemistry materials as compiled 08/21/2023.

I have a gallon of honey and a gallon of mayonnaise at 25C. I remove one cup of honey at a time from the gallon of honey. How many times will I need to remove a cup to have the honey weigh less than the mayonaise? Assume the containers themselves weigh the same.

1. Search "LibreText density mayonnaise"
2. Click result, confirm the correct license.
3. Search "cm^3 to 1 cup"
4. Use results with density measures to form the equation (16*236.588)(1.420 - 0.910)/(236.588*1.420)
5. Round up

1. Search engine
2. Web browser
3. Calculator


Question: What are the EC numbers of the two most commonly used chemicals for the virus testing method in the paper about SPFMV and SPCSV in the Pearl Of Africa from 2016? Return the semicolon-separated numbers in the order of the alphabetized chemicals.

1. Searched "Pearl of Africa" on Google.
2. Noted the answer from the results.
3. Searched "SPFMV and SPCSV in Uganda 2016 paper" on Google.
4. Opened "Effects of Sweet Potato Feathery Mottle Virus and ..." at https://onlinelibrary.wiley.com/doi/full/10.1111/jph.12451.
5. Found the section on virus testing.
6. Searched "most commonly used chemicals for ELISA" on Google.
7. Noted horseradish peroxidase and alkaline phosphatase from the results.
8. Searched "horseradish peroxidase EC number" on Google.
9. Noted the answer from the featured text snippet (1.11.1.7).
10. Searched "alkaline phosphatase EC number" on Google.
11. Noted the answer from the featured text snippet (3.1.3.1).
12. Alphabetized the chemicals.
13. Put the numbers in the order of the chemicals.


Question: What is the absolute difference in tens of thousands between the population of chinstrap penguins on the Wikipedia page for penguin species populations as of the end of 2018 and the population recorded in the Nature.com "global population assessment of the Chinstrap penguin" article from 2020, assuming two penguins per breeding pair?

1. Searched "penguin species populations wikipedia" on Google search.
2. Opened the "List of Sphenisciformes by population" Wikipedia article.
3. Clicked "View history".
4. Scrolled to the end of 2018 and opened the page.
5. Scrolled to the encoding for the population table.
6. Recorded the number of chinstrap penguins (8 million).
7. Searched "Nature.com global population assessment of the Chinstrap penguin 2020" in Google search.
8. Opened the top link to the article with the corresponding name and date.
9. Read the abstract and noted the number of breeding pairs (3.42 million).
10. Multiplied the breeding pairs by 2 to get the number of penguins (6.84 million).
11. Subtracted the Wikipedia population from the Nature.com population (1.16 million).
12. Multiplied 1.16 by 100 to get tens of thousands (116).


Question: What is the last word before the second chorus of the King of Pop's fifth single from his sixth studio album?

1. Google searched "King of Pop".
2. Clicked on Michael Jackson's Wikipedia.
3. Scrolled down to "Discography".
4. Clicked on the sixth album, "Thriller".
5. Looked under "Singles from Thriller".
6. Clicked on the fifth single, "Human Nature".
7. Google searched "Human Nature Michael Jackson Lyrics".
8. Looked at the opening result with full lyrics sourced by Musixmatch.
9. Looked for repeating lyrics to determine the chorus.
10. Determined the chorus begins with "If they say" and ends with "Does he do me that way?"
11. Found the second instance of the chorus within the lyrics.
12. Noted the last word before the second chorus - "stare".


Question: What is the latest chronological year date written in the image on the webpage found when following the first citation reference link on the latest version of Carl Nebel's Wikipedia page as of August 2023?

1. Located Carl Nebel's Wikipedia page.
2. After navigating to the references at the bottom, I followed the link in the first one, titled "Thieme-Becker, entry "Nebel, Carl""
3. That takes me to the Thieme-Becker Wiki page, where I open the embedded image.
4. Scanning through, the latest year date mentioned is 1927

1. A web browser
2. A search engine
3. Image recognition/OCR


Question: What is the maximum length in meters of #9 in the first National Geographic short on YouTube that was ever released according to the Monterey Bay Aquarium website? Just give the number.

1. Searched "National Geographic YouTube" on Google search.
2. Opened the National Geographic YouTube channel.
3. Clicked "Shorts".
4. Watched the oldest short ("Which shark species is the most massive? #SharkFest #Shorts") and noted #9 (Blacktip Reef).
5. Searched "blacktip reef monterey bay aquarium" on Google search.
6. Opened "Blacktip reef shark" on the Monterey Bay Aquarium website and noted the maximum length.

1. Web browser
2. Search engine
3. Video recognition tools


Question: What is the minimum number of page links a person must click on to go from the english Wikipedia page on The Lord of the Rings (the book) to the english Wikipedia page on A Song of Ice and Fire (the book series)? In your count, include each link you would click on to get to the page. Use the pages as they appeared at the end of the day on July 3, 2023.

1. Search the web for “lord of the rings wikipedia”.
2. Click on Wikipedia result.
3. Click “View history” to see if the page has been edited since July 3, 2023.
4. Since it hasn’t been, return to the current revision.
5. Ctrl-F for “song” to see if A Song of Ice and Fire is linked to on this page.
6. Not seeing A Song of Ice and Fire on the current page, search for a link to a page that will likely mention A Song of Ice and Fire.
7. Click the link for “High fantasy”.
8. Click “View history” to see if the page has been edited since July 3, 2023.
9. Since it hasn’t been, return to the current revision.
10. Ctrl-F for “song”, and find a link to A Song of Ice and Fire.
11. Count the links: the High fantasy page and the A Song of Ice and Fire page make two.

1. Search engine
2. Web browser
3. Counter


Question: What time was the Tri-Rail train that carried the most passengers on May 27, 2019 scheduled to arrive in Pompano Beach? Express your answer in the 12-hour digital clock format without leading zero if any, and include whether it is AM or PM.

1. Search the web for “tri rail ridership may 2019”.
2. Click result for Tri-Rail website.
3. Click drop-down for 2019.
4. Click PDF for May 2019 ridership report.
5. Scroll down to find the statistics for each train.
6. Locate the ridership numbers for the 27th, and scroll to find the train with the highest number for that day: train number P685.
7. Search the web for “tri rail schedule may 2019”.
8. Click result for Tri-Rail website.
9. Noticing that the train doesn’t appear on the weekday schedule, click the link for the weekend/holiday schedule. May 27th may have been a holiday.
10. Locate the time that P685 is scheduled to arrive at Pompano Beach: 6:41 PM.
11. To confirm, search “may 2019 holidays”.
12. Verify that May 27th, 2019 was the Memorial Day holiday.
13. Since the Tri-Rail website didn’t give a date for its schedule, search the web for “tri rail schedule changes” to see if the schedule has changed since 2019.
14. The only result mentioning a schedule change dates to 2015, so 6:41 PM seems like the answer.


Question: What two-word type of model did Manash Pratim Kashyap's and PS Fader's studies in customer retention studies published during 2018-2019 have in common (no punctuation)?

1. Searched "Manash Pratim Kashyap customer retention" on Google.
2. Opened https://www.journalijar.com/article/26843/a-simple-model-for-analyzing-the-customer-retention-comparing-rural-and-urban-store/.
3. Noted "discrete time beta geometric model" in the abstract.
4. Searched "PS Fader customer retention" on Google.
5. Opened https://www.sciencedirect.com/science/article/abs/pii/S1094996807700233.
6. Noted "basic model (known as a “shifted-beta-geometric”)" in the abstract.
7. Extracted the two words in common.


Question: What's the last line of the rhyme under the flavor name on the headstone visible in the background of the photo of the oldest flavor's headstone in the Ben & Jerry's online flavor graveyard as of the end of 2022?

1. Searched "ben and jerrys flavor graveyard" on Google search.
2. Opened "Flavor Graveyard" on www.benjerry.com.
3. Opened each flavor to find the oldest one (Dastardly Mash).
4. Deciphered the blurry name on the headstone behind it (Miz Jelena's Sweet Potato Pie).
5. Scrolled down to Miz Jelena's Sweet Potato Pie.
6. Copied the last line of the rhyme.
7. (Optional) Copied the URL.
8. Searched "internet archive" on Google search.
9. Opened the Wayback Machine.
10. Entered the URL.
11. Loaded the last 2022 page.
12. Confirmed the information was the same.

1. Image recognition tools
2. Web browser
3. Search engine


Question: When was a picture of St. Thomas Aquinas first added to the Wikipedia page on the Principle of double effect? Answer using the format DD/MM/YYYY.

1. Search the web for “principle of double effect wikipedia”.
2. Note a picture of St. Thomas Aquinas on the page, which is part of the Wikipedia “series on” template.
3. Click “View history” to see the page’s revision history.
4. Click to display more edits on the page.
5. Ctrl-F for “template”.
6. Browse the mentions of “template” until I find the revision that added the picture.
7. Note the date that the template was added, 19 February 2009.
8. Browse earlier revisions to ensure that a picture was not added earlier.

1. Search engine
2. Web browser
3. Image recognition


Question: Which contributor to the version of OpenCV where support was added for the Mask-RCNN model has the same name as a former Chinese head of government when the names are transliterated to the Latin alphabet?

1. Use search engine to search for "OpenCV change log".
2. Open the top result from GitHub and search the page for "Mask-RCNN".
3. Observe that support for Mask-RCNN model was added in OpenCV version 4.0.0.
4. Expand the two lists of contributors for version 4.0.0.
5. Go to the Wikipedia page for head of government.
6. Scan through and note that for China, the head of government is the premier.
7. Go to the Wikipedia page for premier of the People's Republic of China.
8. Go to the linked page for List of premiers of the People's Republic of China.
9. Compare the list of OpenCV version 4.0.0 contributors' names and the list of premiers of China to find that Li Peng is present in both lists.


Question: Who composed the song that was performed by a rooster and a hamster in separate animated videos at separate tempos with different lyrics? Answer using the format First name Last name.

1. Searched "song performed by rooster and hamster" on Google.
2. Opened https://en.wikipedia.org/wiki/The_Hampsterdance_Song.
3. Noted the song "Whistle Stop" was the original to use the tune.
4. Followed the link to https://en.wikipedia.org/wiki/Robin_Hood_(1973_film).
5. Found the composer of "Whistle Stop".


Question: The attached spreadsheet contains a list of books I read in the year 2022. What is the title of the book that I read the slowest, using the rate of words per day?

1. Open the attached file.
2. Search the web for the number of pages in the first book, Fire and Blood by George R. R. Martin.
3. Since the results give conflicting answers, use an estimated word count of 200,000. The reading rates for the different books likely aren’t close enough that a precise word count matters.
4. Search the web for “song of solomon toni morrison word count”, to get the word count for the next book.
5. Note the answer, 97,364.
6. Search the web for “the lost symbol dan brown word count”.
7. Since the results give conflicting answers, use an estimated word count of 150,000.
8. Search the web for “2001 a space odyssey word count”.
9. Since the results give conflicting answers, use an estimated word count of 70,000.
10. Search the web for “american gods neil gaiman word count”.
11. Note the answer, 183,222.
12. Search the web for “out of the silent planet cs lewis word count”.
13. Note the word count, 57,383.
14. Search the web for “the andromeda strain word count”.
15. Note the word count, 67,254.
16. Search the web for “brave new world word count”.
17. Note the word count, 63,766.
18. Search the web for “silence shusaku endo word count”.
19. Note the word count, 64,000
20. Search the web for “the shining word count”.
21. Note the word count, 165,581.
22. Count the number of days it took to read the first book: 45.
23. Since the next book was read over the end of February, search the web for “was 2022 a leap year”.
24. Note that 2022 was not a leap year, so it has 28 days.
25. Count the number of days it took to read the second book, 49.
26. Count the number of days it took to read the third book, 66.
27. Count the number of days it took to read the fourth book, 24.
28. Count the number of days it took to read the fifth book, 51.
29. Count the number of days it took to read the sixth book, 37.
30. Count the number of days it took to read the seventh book, 31.
31. Count the number of days it took to read the eighth book, 20.
32. Count the number of days it took to read the ninth book, 34.
33. Count the number of days it took to read the final book, 7.
34. Divide the word count by number of pages to get words per day. For the first book, this is 200,000 divided by 45 equals about 4,444.
35. Calculate the words per day for the second book, 1,987.
36. Calculate the words per day for the third book, 2,273.
37. Calculate the words per day for the fourth book, 2,917.
38. Calculate the words per day for the fifth book, 3,593.
39. Calculate the words per day for the sixth book, 1,551.
40. Calculate the words per day for the seventh book, 2,169.
41. Calculate the words per day for the eighth book, 3,188.
42. Calculate the words per day for the ninth book, 1,882.
43. Calculate the words per day for the final book, 23,654.
44. Note the title of the book with the least words per day, Out of the Silent Planet.

1. Microsoft Excel / Google Sheets
2. Search engine
3. Web browser
4. Calculator


Question: In the NIH translation of the original 1913 Michaelis-Menten Paper, what is the velocity of a reaction to four decimal places using the final equation in the paper based on the information for Reaction 7 in the Excel file?

1. Searched "NIH translation 1913 Michaelis-Menten Paper" on Google.
2. Opened "The Original Michaelis Constant: Translation of the 1913 Michaelis-Menten Paper" on the NIH website.
3. Scrolled down to the final equation: v = (km ⋅ [S]) / (1 + (km/kcat) ⋅ [S]).
4. Opened the Excel file.
5. Searched "Michaelis-Menten equation" on Google to find the meaning of the variables.
6. Opened the Wikipedia "Michaelis–Menten kinetics" page.
7. Noted v = reaction rate (velocity of reaction) and kcat = catalytic rate constant (catalytic constant).
8. Returned to the NIH paper and found km = Menten constant and [S] = substrate concentration.
9. Plugged reaction 7's values from the Excel file into the equation: v = (0.052 * 72.3) / (1 + (0.052 / 0.0429) * 72.3) = 0.042416.
10. Rounded to four decimal places (0.0424).

1. Excel file access
2. Web browser
3. Search engine
4. Calculator


Question: What is the average number of pre-2020 works on the open researcher and contributor identification pages of the people whose identification is in this file?

1. Opened the JSONLD file.
2. Opened each ORCID ID.
3. Counted the works from pre-2022.
4. Took the average: (54 + 61 + 1 + 16 + 0) / 5 = 132 / 5 = 26.4.

1. Web browser
2. Search engine
3. Calculator
4. JSONLD file access


Question: Which of the text elements under CATEGORIES in the XML would contain the one food in the spreadsheet that does not appear a second time under a different name?

1. Open the spreadsheet.
2. Go through each item, eliminating ones that have duplicates under a different name (e.g. clam = geoduck, sandwich = hoagie, dried cranberries = craisins...).
3. (Optional) Look up any unrecognizable food names.
4. Note the remaining unique food (turtle soup).
5. Open the XML.
6. Find the CATEGORIES label.
7. Note the matching text element for the food (Soups and Stews).

1. Excel file access
2. XML file access
3. (Optional) Web browser
4. (Optional) Search engine


Question: What percentage of the total penguin population according to the upper estimates on english Wikipedia at the end of 2012 is made up by the penguins in this file that don't live on Dream Island or have beaks longer than 42mm? Round to the nearest five decimal places.

1. Opened the file in Excel.
2. Counted the penguins that are not on Dream Island with bills shorter than 42mm using `COUNTIFS(C1:C345, ">42", B1:B345, "<>Dream")` (132).
3. Searched "wikipedia penguin populations" on Google search.
4. Opened the "List of Sphenisciformes by population" Wikipedia page.
5. Clicked "View history" to see the history of the page.
6. Opened the last 2012 version.
7. Added up the penguin species populations (39808770).
8. Calculated the percentage (132 / 39808770 * 100% = 0.00033158%).
9. Converted to scientific notation (3.3 x 10^-4%).

1. CSV file access
2. Web browser
3. Search engine
4. Calculator (or use Excel)


Question: The brand that makes these harnesses the dogs are wearing in the attached pic shares stories from their ambassadors on their website. What meat is mentioned in the story added Dec 8th 2022?

1. Use image search for "dog harness brands with yellow logos"
2. Look at harnesses until a similar harness shows up
3. Click through to see the harness
4. Search "ruffwear"
5. Go to the website
6. Navigate to stories
7. Find the story posted Dec 8th 2022
8. Read the story to find any meats mentioned

1. image recognition tools
2. image search tools
3. web browser
4. search engine


Question: I was referencing each of the tables in the file from papers that were cited by the "Trans fatty acid contents in chocolates and chocolate wafers in Turkey" paper. I lost my own reference sheet and need to know which of the papers each table came from. The file may not use the full table caption. If the references in the"Trans fatty acid" paper bibliography were numbered starting with 1, give me the numbers in the order that they would be used to fill the cells in the Excel file from top to bottom, as a comma separated list.

1. Searched "Trans fatty acid contents in chocolates and chocolate wafers in Turkey" on Google.
2. Opened https://www.researchgate.net/publication/234034780_Trans_fatty_acid_contents_in_chocolates_and_chocolate_wafers_in_Turkey.
3. Opened the Excel file.
4. Searched each reference in the paper on Google.
5. Checked any free-to-access reference for a table similar to the titles in the Excel file.
6. Added the numbers of the references to the Excel file.
7. Copied the numbers into a comma-separated list.

1. Web browser
2. Search engine
3. PDF access
4. XLSX file access


Question: A 5-man group made up of one tank, one healer, and three DPS is doing a dungeon that was just released in World of Warcraft. Two are plate wearers and two are cloth wearers. At the final boss, both the tank and the healer are casting holy spells. Ice and fire are being used, each one by a different DPS. A bear from the group is attacking the boss. Metamorphosis is cast. The Kilt of the Forgotten One drops as loot, but no one can use it. If all classes were using their class abilities and all classes are unique, what are the five classes in the group in alphabetical order separated by commas?

1. Searched "WoW classes" on Google.
2. Opened "https://worldofwarcraft.blizzard.com/en-us/game/classes".
3. Made an alphabetical list of all WoW classes: Death Knight, Demon Hunter, Druid, Evoker, Hunter, Mage, Monk, Paladin, Priest, Rogue, Shaman, Warlock, and Warrior.
4. Opened each page and noted the armor type: Death Knight (plate), Demon Hunter (leather), Druid (leather), Evoker (mail), Hunter (mail), Mage (cloth), Monk (leather), Paladin (plate), Priest (cloth), Rogue (leather), Shaman (mail), Warlock (cloth), and Warrior (plate).
5. Looked up "Kilt of the Forgotten One" on Google.
6. Opened https://www.wowhead.com/wotlk/item=37616/kilt-of-the-forgotten-one.
7. Noted that it is leather, and none of the classes can use it, so the remaining classes are: Death Knight (plate), Evoker (mail), Hunter (mail), Mage (cloth), Paladin (plate), Priest (cloth), Shaman (mail), Warlock (cloth), and Warrior (plate).
8. Noted that it was added in Wrath of the Lich King, so if the dungeon is newly released, the era is the Wrath of the Lich King expansion.
9. Searched "Wrath of the Lich King class abilities" on Google.
10. Opened https://www.wowhead.com/wotlk/spells/abilities.
11. Sorted by class and noted that Evokers, Demon Hunters, and Monks did not exist yet, so the remaining classes are: Death Knight (plate), Hunter (mail), Mage (cloth), Paladin (plate), Priest (cloth), Shaman (mail), Warlock (cloth), and Warrior (plate).
12. Checked which classes use Holy school abilities, Paladin (plate) and Priest (cloth), so they must be in the group as tank and healer.
13. Checked which classes use ice (Frost) and fire abilities, Death Knight (plate), Mage (cloth), Shaman (mail), and Warlock (cloth).
14. There can only be one other plate class, so it must be Death Knight or Warrior, and one other cloth class, so it must be Mage or Warlock.
15. Metamorphosis is a Warlock ability in Wrath of the Lich King, so it must be the other cloth class, and the group so far is Paladin, Priest, Warlock, plate DPS, and other DPS, with remaining options of Death Knight (plate), Hunter (mail), Mage (cloth), Shaman (mail), and Warrior (plate).
16. There cannot be another cloth class, so the remaining options are Death Knight (plate), Hunter (mail), Shaman (mail), and Warrior (plate).
17. There is a bear attacking the boss and there is no Druid to shapeshift into a bear, so it must be a Hunter's pet, making the group Paladin, Priest, Warlock, Hunter, and plate DPS, with remaining options of Death Knight (plate), Hunter (mail), Mage (cloth), Shaman (mail), and Warrior (plate).
18. The last class is plate, leaving only Death Knight and Warrior.
19. Hunters and Warlocks can both cast Fire abilities but cannot cast Frost abilities, so the last DPS must cast ice (Frost) abilities, making the last DPS a Frost Death Knight since Warriors have no Frost abilities.
20. Order the group alphabetically: Death Knight, Hunter, Paladin, Priest, Warlock.


Question: According to wikipedia, how many Asian countries still have a monarchy and access to the sea in 2021?

1. Search the internet for "asian monarchies"
2. Navigate to from the search results
3. Switch to the history tab
4. Locate and navigate to a revision from 2021
5. Open the articles for each listed monarchy in new tabs
6. Verify access to the sea for each country using the provided maps and optionally Google Maps

1. Web browser
2. Search engine
3. Computer vision
3. Google Maps


Question: Assuming scientists in the famous youtube video The Thinking Machine (Artificial Intelligence in the 1960s) were interviewed the same year, what is the name of the scientist predicting the sooner thinking machines or robots? Answer using the format First name Last name

1. Search "The Thinking Machine (Artificial Intelligence in the 1960s)" and open the YouTube result
2. Listen to the video.
3. Search for a transcript to confirm, due to struggling to feel confident in my answer.
4. Fail to find a transcript.
5. Watch again, finding again that Claude Shannon predicted AI in 5-10 years, which is the soonest.

1. web browser
2. video recognition tools


Question: Eva Draconis has a personal website which can be accessed on her YouTube page. What is the meaning of the only symbol seen in the top banner that has a curved line that isn't a circle or a portion of a circle? Answer without punctuation.

1. By googling Eva Draconis youtube, you can find her channel.
2. In her about section, she has written her website URL, orionmindproject.com.
3. Entering this website, you can see a series of symbols at the top, and the text "> see what the symbols mean here" below it.
4. Reading through the entries, you can see a short description of some of the symbols.
5. The only symbol with a curved line that isn't a circle or a portion of a circle is the last one.
6. Note that the symbol supposedly means "War is not here, this is a land of peace."

1. A web browser.
2. A search engine.
3. Access to YouTube
4. Image recognition tools


Question: How many times was a Twitter/X post cited as a reference on the english Wikipedia pages for each day of August in the last June 2023 versions of the pages?

1. Searched "August Wikipedia" on Google search.
2. Opened the Wikipedia page for the month of August.
3. Clicked on "View history" on the "August 1" page.
4. Went back to the last edited version prior to July 2023.
5. Checked the references for Twitter posts.
6. Repeated the process for each day of August.
7. Counted the Twitter posts found.


Question: I read a paper about multiwavelength observations of fast radio bursts back in March 2021 on Arxiv, and it had a fascinating diagram of an X-ray time profile. There was a similar burst-1 diagram in another paper from one of the same authors about fast radio bursts back in July 2020, but I can't recall what the difference in seconds in the measured time span was. How many more seconds did one measure than the other? Just give the number.

1. Searched "arxiv" on Google.
2. Opened arXiv.
3. Searched "multiwavelength observations of fast radio bursts" on arXiv.
4. Scrolled down to March 2021.
5. Opened the "Multiwavelength observations of Fast Radio Bursts" PDF in a new tab.
6. Opened each author's name to find the one that had a July 2020 paper (Nicastro, L).
7. Opened the "The lowest frequency Fast Radio Bursts: Sardinia Radio Telescope detection of the periodic FRB 180916 at 328 MHz" PDF.
8. Searched "time profile" in the first paper.
9. Noted the time span of the diagram (0.3 s).
10. Searched "burst-1 profile" in the second paper.
11. Noted the time span of the diagram (0.5 s).
12. Subtracted the two (0.5 - 0.3 = 0.2 s).

1. PDF access
2. Calculator
3. Web browser
4. Search engine


Question:
I thought we could try a fun word puzzle together :)

I've got a Boggle board here:

ABRL
EITE
IONS
FPEI

I'd like to know the longest word that can be generated from the board. Please find the longest English language word that can be generated from this board. If more than one word of the same length exists at the maximum word length, please report the longest word that comes first, alphabetically. Oh, and I know that there might be different wordlists available for Boggle, so let's please just use the words_alpha dictionary found at https://github.com/dwyl/english-words as the dictionary for our game.

Step 1: Evaluate the user's request, storing the input Boggle board, "ABRLEITEIONSFPEI" and the specified dictionary location, https://github.com/dwyl/english-words
Step 2: Using a web browser, access a search engine and conduct a search "Boggle rules"
Step 3: Navigate to the first search result, https://en.wikipedia.org/wiki/Boggle
Step 4: Evaluate the page content and store the game's rules:

"One player begins the game by shaking a covered tray of 16 cubic dice, each with a different letter printed on each of its sides. The dice settle into a 4×4 tray so that only the top letter of each cube is visible. After they have settled into the tray, a three-minute sand timer is started and all players simultaneously begin the main phase of play.[3]

Each player searches for words that fit the following criteria:

Words must be at least three letters in length.
Each letter after the first must be a horizontal, vertical, or diagonal neighbor of the one before it.
No individual letter cube may be used more than once in a word.
No capitalized or hyphenated words are allowed.
Multiple forms of the same word are allowed, such as singular/plural forms and other derivations. Each player records all the words they find by writing on a private sheet of paper. After three minutes have elapsed, all players must immediately stop writing and the game enters the scoring phase.

In this, each player reads off their list of discovered words. If two or more players wrote the same word, it is removed from all players' lists. Any player may challenge the validity of a word, in which case a previously nominated dictionary is used to verify or refute it. Once all duplicates and invalid words have been eliminated, points are awarded based on the length of each remaining word in a player's list. The winner is the player whose point total is highest, with any ties typically broken by a count of long words."

Step 5: Using a web browser, navigate to the nominated dictionary specified by my user, https://github.com/dwyl/english-words
Step 6: Navigate to the linked page, https://github.com/dwyl/english-words/blob/master/words_alpha.txt
Step 7: Download the words_alpha.txt dictionary and save it to my file system as "words_alpha.txt"
Step 8: Using a Python IDE, create a new project to solve the user's request as specified
Step 9: Compose a Python program that accepts an input string and prints an output of all words that can be generated that match words in the nominated dictionary. The program must observe the rules discovered in Step 4. The output should be sorted so that strings are sorted alphabetically and grouped by character count:

class Boggle_Solver:
    def __init__(self, file, size=4, points=None):
        self.size = size
        self.board = [[' '] * self.size for _ in range(self.size)]
        self.adjacency = self.build_adjacency()
        self.words, self.prefixes = self.load_dictionary(file)

    def adjacent(self, pos):
        row, col = pos
        adj = []
        for i in [-1, 0, 1]:
            for j in [-1, 0, 1]:
                new_row = row + i
                new_col = col + j
                if 0 <= new_row < self.size and 0 <= new_col < self.size and not (i == j == 0):
                    adj.append((new_row, new_col))
        return adj

    def build_adjacency(self):
        adjacency = dict()
        for row in range(0, self.size):
            for col in range(0, self.size):
                adjacency[(row, col)] = self.adjacent((row, col))
        return adjacency

    def load_dictionary(self, file):
        words = set()
        prefixes = set()
        with open(file, 'r') as f:
            next(f)
            for line in f:
                word = line.rstrip()
                if len(word) >= 3:
                    words.add(word)
                    for i in range(len(word)):
                        prefixes.add(word[:i])
        return words, prefixes

    def get_letter(self, pos):
        return self.board[pos[0]][pos[1]]

    def set_board(self, letters):
        board_input=letters.lower()
        for row in range(self.size):
            index = row * self.size
            row_letters = board_input[index:index+self.size]
            for col, letter in enumerate(row_letters):
                self.board[row][col] = letter

    def find_words(self):
        words = set()
        for row in range(self.size):
            for col in range(self.size):
                words |= self.find_words_pos((row, col))
        return sorted(words, key=lambda x: (-len(x), x))

    def find_words_pos(self, pos):
        stack = [(n, [pos], self.get_letter(pos)) for n in self.adjacency[pos]]
        words = set()
        while stack:
            curr, path, chars = stack.pop()
            curr_char = self.get_letter(curr)
            curr_chars = chars + curr_char

            if curr_chars in self.words:
                words.add(curr_chars)

            if curr_chars in self.prefixes:
                curr_adj = self.adjacency[curr]
                stack.extend([(n, path + [curr], curr_chars) for n in curr_adj if n not in path])
        return words

if __name__ == '__main__':
    word_list = Boggle_Solver('words_alpha.txt')
    word_list.set_board('ABRLEITEIONSFPEI')
    print(word_list.find_words())

Step 10: Execute the program, and store the output:
['briniest', 'brionies', 'inertiae', 'pointrel', 'aeonist', 'bretons', 'brinies', 'britons', 'enteria', 'entires', 'entoire', 'estonia', 'inertia', 'ioniser', 'iresine', 'iserine', 'nestler', 'oestrin', 'openest', 'penster', 'piotine', 'pointel', 'pointer', 'pointes', 'poitrel', 'sertion', 'sienite', 'sinopie', 'snirtle', 'triones', 'abrine', 'airest', 'bainie', 'baiter', 'bionts', 'birles', 'bitser', 'brents', 'breton', 'brines', 'brinie', 'briton', 'eirene', 'entire', 'entria', 'eserin', 'estrin', 'foiter', 'fontes', 'inerts', 'insert', 'instop', 'intire', 'ionise', 'ionist', 'nepote', 'nester', 'nestle', 'nirles', 'nitres', 'noires', 'opener', 'peiser', 'penest', 'peones', 'pester', 'pestle', 'pointe', 'points', 'ponies', 'pontes', 'potsie', 'resent', 'restio', 'seiner', 'sepion', 'sepone', 'serbia', 'serine', 'sinite', 'sinter', 'stenia', 'sterin', 'stoner', 'stopen', 'striae', 'teniae', 'terbia', 'tinsel', 'tonies', 'trines', 'abret', 'abrin', 'aeons', 'ainoi', 'airts', 'baits', 'bines', 'bints', 'biont', 'birle', 'biter', 'bites', 'brens', 'brent', 'brest', 'brine', 'brins', 'brite', 'brits', 'enter', 'entia', 'entre', 'erbia', 'ester', 'estop', 'estre', 'foins', 'fonts', 'ineri', 'inert', 'insep', 'inset', 'instr', 'intel', 'inter', 'irene', 'istle', 'lenes', 'lenis', 'lense', 'lento', 'neist', 'nerts', 'netop', 'niter', 'nitre', 'noire', 'noter', 'notes', 'notre', 'onset', 'opens', 'peine', 'peins', 'peise', 'penes', 'penis', 'pense', 'peons', 'peste', 'pions', 'piotr', 'point', 'poire', 'pones', 'poter', 'renes', 'rents', 'resin', 'retia', 'retie', 'retin', 'rinse', 'riots', 'rites', 'seine', 'senit', 'senti', 'serin', 'serio', 'seton', 'sinto', 'snirl', 'snirt', 'snite', 'steno', 'steri', 'stine', 'stion', 'stire', 'stoep', 'stone', 'stope', 'stria', 'tenia', 'tenio', 'tense', 'tines', 'tires', 'toner', 'tones', 'topes', 'tribe', 'trine', 'tsine', 'abie', 'abir', 'abit', 'abri', 'aeon', 'aine', 'ains', 'aint', 'aion', 'aire', 'airt', 'aits', 'bain', 'bait', 'bein', 'bine', 'bini', 'bino', 'bins', 'bint', 'bion', 'birl', 'birt', 'bite', 'bito', 'bits', 'bren', 'bret', 'brie', 'brin', 'brio', 'brit', 'eire', 'ense', 'entr', 'eons', 'eria', 'erie', 'erin', 'esne', 'eton', 'fiot', 'foes', 'foin', 'fone', 'fons', 'font', 'inia', 'init', 'inst', 'intl', 'into', 'intr', 'ione', 'ioni', 'ions', 'ires', 'isnt', 'itel', 'iten', 'iter', 'lene', 'leno', 'lens', 'lent', 'lese', 'lest', 'leto', 'lets', 'neri', 'nese', 'nest', 'neti', 'nets', 'nies', 'nist', 'nito', 'nits', 'noes', 'noir', 'nope', 'note', 'nots', 'oint', 'oner', 'ones', 'open', 'opes', 'pein', 'pens', 'pent', 'peon', 'pest', 'pion', 'pone', 'pons', 'pont', 'pote', 'poti', 'pots', 'reno', 'rent', 'rest', 'rets', 'ribe', 'rine', 'rins', 'riot', 'rite', 'selt', 'sent', 'sepn', 'serb', 'seri', 'sert', 'sine', 'snib', 'snit', 'snop', 'snot', 'sten', 'ster', 'stib', 'stir', 'stof', 'stop', 'stre', 'tens', 'teri', 'tine', 'tino', 'tins', 'tire', 'tirl', 'toea', 'toes', 'tone', 'tons', 'tope', 'topi', 'tres', 'trib', 'trin', 'trio', 'abe', 'abr', 'abt', 'ain', 'air', 'ait', 'bae', 'bai', 'bea', 'bin', 'bio', 'bit', 'brl', 'btl', 'eir', 'elt', 'ens', 'eof', 'eon', 'epi', 'ese', 'est', 'fie', 'fip', 'foe', 'fon', 'fop', 'fot', 'iba', 'ino', 'ins', 'int', 'iof', 'ion', 'ire', 'ise', 'isn', 'ist', 'ito', 'its', 'len', 'ler', 'les', 'let', 'ltr', 'nei', 'neo', 'nep', 'net', 'nib', 'nis', 'nit', 'not', 'oes', 'oie', 'oii', 'one', 'oni', 'ons', 'ont', 'ope', 'pen', 'pes', 'pie', 'poe', 'poi', 'pon', 'pot', 'rel', 'ren', 'res', 'ret', 'ria', 'rib', 'rie', 'rin', 'rio', 'rit', 'rle', 'rte', 'rti', 'sei', 'sel', 'sen', 'sep', 'ser', 'set', 'sie', 'sin', 'str', 'tel', 'ten', 'ter', 'tib', 'tie', 'tin', 'tlr', 'toe', 'toi', 'ton', 'top', 'tri', 'tsi']

Step 11: Select the first word from the stored output as the correct response to my user's query, "briniest"
Step 12: Report the correct answer to my user's query in the requested format, "Briniest"

1. A file interface
2. A Python IDE
3. A web browser
4. A search engine


Question: I was trying to remember how well the Cheater Beater performed in comparison to the Cheater when James tested it on his channel. I know that the Cheater still outperformed the Cheater Beater in terms of CFM. Could you please look that up for me, and report the CFM of both the Cheater and the Cheater Beater? I'm not sure if he made any changes to his testing, but this was back in season 4, so just report the value from that season. Please format your response like this: CFM number for Cheater, CFM number for Cheater beater

Step 1: Using a web browser, navigate to a search engine and conduct a search: "James Cheater Cheater Beater CFM Season 4"
Step 2: Finding no relevant result, navigate to a search engine and conduct another search: "Cheater Beater Season 4"
Step 3: Navigate to the first search result, https://www.youtube.com/watch?v=2vq3COPZbKo
Step 4: Evaluate the YouTube page, noting that the video description identifies the video content comparing the performance of computer fans to a fan referred to as the "cheater"
Step 5: Follow the link to the YouTube channel Major Hardware, https://www.youtube.com/@MajorHardware
Step 6: Navigate to the About tab link, https://www.youtube.com/@MajorHardware/about
Step 7: Evaluate the content, noting that the page identifies the operator of the channel as James
Step 8: Navigate to a search engine and conduct a search, "James Major Hardware Cheater Beater"
Step 9: Navigate to the first result, identical to the result from step 3 above, https://www.youtube.com/watch?v=2vq3COPZbKo
Step 10: Search the page for CFM, finding no result
Step 11: Load the video content and review it
Step 12: Note an onscreen text element identifying a fan as "CALL SIGN: CHEATER BEATER" at timestamp 224
Step 13: Note an onscreen table identifying the performance of various fans tested during season four, at timestamp 485
Step 14: Evaluate the table content, identifying an entry for a fan named "Cheater" and a fan named "Cheater Beater"
Step 15: Evaluate the table content, identifying that the data for both fans were recorded in season 4, S4E1 for Cheater, S4E6 for Cheater Beater
Step 16: Record the data from the CFM column for the two fans, "Cheater: 101.376", and "Cheater Beater: 84.348"
Step 17: Report the correct response to my user:
"Cheater: 101.376
Cheater Beater: 84.348"

1. A web browser
2. A search engine
3. Image recognition tools


Question: In July 2, 1959 United States standards for grades of processed fruits, vegetables, and certain other products listed as dehydrated, consider the items in the "dried and dehydrated section" specifically marked as dehydrated along with any items in the Frozen/Chilled section that contain the whole name of the item, but not if they're marked Chilled. As of August 2023, what is the percentage (to the nearest percent) of those standards that have been superseded by a new version since the date given in the 1959 standards?

1. Searched "July 2, 1959 United States standards for grades of processed fruits, vegetables, and certain other products" on Google.
2. Opened https://upload.wikimedia.org/wikipedia/commons/0/06/United_States_standards_for_grades_of_processed_fruits%2C_vegetables%2C_and_certain_other_products_%28as_of_July_2%2C_1959%29_%28IA_unitedstatesstan14unit_4%29.pdf.
3. Scrolled to the "DRIED or DEHYDRATED" section.
4. Opened a new tab and searched "united states standards for grades of dehydrated apples".
5. Opened https://www.ams.usda.gov/grades-standards/dehydrated-apples-grades-and-standards.
6. Opened the "U.S. Grade Standards for Dehydrated Apples (pdf)" PDF.
7. Checked the date against the 1959 standards.
8. Repeated steps 4-7 for all dehydrated items in the "DRIED or DEHYDRATED" section:
9. Grapefruit Juice, updated (running tally: 2/2)
10. Orange Juice, updated (running tally: 3/3)
11. Found all versions of the dehydrated items in Frozen or Chilled, except those marked Chilled: Apples; Grapefruit Juice, Concentrated; Grapefruit Juice and Orange Juice, Concentrated, Blended; Orange Juice, Concentrated
12. Repeated steps 4-7 all those versions:
13. Apples, not updated (running tally: 3/4)
14. Grapefruit Juice, Concentrated, updated (running tally: 4/5)
15. Grapefruit Juice and Orange Juice, Concentrated, Blended, updated (running tally: 5/6)
16. Orange Juice, Concentrated, updated (running tally: 6/7)
17. Calculated the percentage (6 / 7 * 100% = 85.7%).
18. Rounded to the nearest percent (86%).

1. Web browser
2. Search engine
3. PDF access
4. Calculator


Question: In NASA's Astronomy Picture of the Day on 2006 January 21, two astronauts are visible, with one appearing much smaller than the other. As of August 2023, out of the astronauts in the NASA Astronaut Group that the smaller astronaut was a member of, which one spent the least time in space, and how many minutes did he spend in space, rounded to the nearest minute? Exclude any astronauts who did not spend any time in space. Give the last name of the astronaut, separated from the number of minutes by a semicolon.

1. Use search engine to search for "NASA's Astronomy Picture of the Day 2006 January 21".
2. Open the link to the image.
3. Read the explanation to find that the image is of astronaut Charles "Pete" Conrad reflected in the helmet of astronaut Alan Bean.
4. Observe that the smaller astronaut in the image is the one reflected in the other's helmet, so the smaller astronaut must be Charles "Pete" Conrad.
5. Go to the Wikipedia page for Charles "Pete" Conrad.
6. Search for "Astronaut Group" to find that Conrad was a member of NASA Astronaut Group 2.
7. Open the Wikipedia pages for each member of NASA Astronaut Group 2.
8. For those who are not deceased, go to View history and select the latest version of their Wikipedia page as of August 2023.
9. Compare the times listed in the infobox of each astronaut's Wikipedia page under "Time in space", observing that Ed White has the least time in space with 4d 01h 56m, but also that Elliott See does not have a listed "Time in space".
10. Read through Elliot See's Wikipedia article to find that he died in an accident before his first space flight, so he should be excluded, making Ed White's 4d 01h 56m the least amount of time in space.
11. Convert 4d 01h 56m to minutes: 4d * 24h/d * 60m/h + 1h * 60m/h + 56m = 5,876m
12. Format the final answer as specified: White; 5,876

1. Web browser
2. Search engine
3. Image processing tools
4. Calculator


Question: In the NCATS PubChem compound database for Food Additive Status classification, find the compound that has a molecular weight of 100 g/mol or less, 6 heavy atoms, 1 or fewer hydrogen bond acceptors, and a complexity between 10 and 15. Of the shared gene-chemical co-occurrences between its two possible enzyme transformations, what is the PubChem CID of the heaviest by molecular weight?

1. Searched "NCATS PubChem compound database" on Google.
2. Opened "PubChem" on the NCATS NIH website.
3. Clicked on the "PubChem Compound" link.
4. Clicked on the "Classification Browser" link.
5. Expanded "Food Additives and Ingredients" in the list.
6. Clicked on the number link next to "Food Additive Status".
7. Opened the filters and set them to maximum 100 g/mol weight, minimum 6 heavy atoms, maximum 1 H-bond acceptor, complexity 10-15.
8. Opened the resulting "HEXANE" page.
9. Scrolled to 10.6 Pharmacology and Biochemistry > Transformations.
10. Opened the two enzyme transformations' pages (CYP2B6 and CYP2E1).
11. Opened each one's gene-chemical co-occurrences full list.
12. Opened each chemical they shared a co-occurrence with.
13. Compared the weights to find the heaviest (Midazolam).
14. Noted its PubChem CID (4192).


Question: In the YouTube 360 VR video from March 2018 narrated by the voice actor of Lord of the Rings' Gollum, what number was mentioned by the narrator directly after dinosaurs were first shown in the video?

1. Searched "gollum voice actor" on Google search.
2. Noted the answer.
3. Searched "youtube 360 vr andy serkis" on Google search.
4. Opened the top result (We Are Stars with Andy Serkis - 360 VR Video).
5. Confirmed the date was in March 2018.
6. Watched the video until dinosaurs appeared (approximately 8:45).
7. Recorded the narrated number.

1. Search engine
2. Web browser
3. Audio capability
4. Video capability


Question: The Latin root of the Yola word "gimlie" shares a spelling with a Spanish word. What is the Google translation of the source title for the 1994 example sentence for that word in the Collins Spanish-to-English dictionary online? Answer in plain text, without punctuation.

1. Searched "Yola gimlie" on Google.
2. Opened https://en.wiktionary.org/wiki/gimlie#Yola.
3. Noted the Latin root "caminata".
4. Searched "Collins Spanish-to-English dictionary caminata" on Google.
5. Opened https://www.collinsdictionary.com/dictionary/spanish-english/caminata.
6. Scrolled down to the 1994 example.
7. Searched "El Mundo del Siglo Veintiuno translation" on Google.
8. Noted the result in the Translate widget.

1. Web browser
2. Search engine
3. Google Translate access


Question:
The following numbers function similarly to ISBN 13 numbers, however, their validation methods are slightly different. Rather than using alternate weights of 1 and 3, the checksum digit is calculated with an alternate weight of 1 and some other positive integer less than 10. Otherwise, the checksum digit is calculated as expected. Unfortunately, there is an error in the data. Two adjacent columns have been transposed. These errored columns do not involve the final column or one of the first three columns. Using this information, please provide all potential solutions with the unknown weight and the smaller index of the two errored columns (assume we start our indexing at 0 and ignore hyphens). Give your answer in the form x, y where x is the weight and y is the smaller index of the two transposed columns.

978-354181391-9
978-946669746-1
978-398036139-6
978-447656680-4
978-279586664-7
978-595073693-3
978-976647652-6
978-591178125-5
978-728465924-5
978-414825155-9

1. Consider the numbers as if the first potential columns were the ones transposed, which would be smallest index 3 giving solution (n, 3).
2. "Fix" the columns in the first number and see if any n from 1-9 can generate the proper check digit. Calculations:
978-354181391-9
978-534181391-9
(9+7n+8+5n+3+4n+1+8n+1+3n+9+1n) mod 10 ≡ (10 - 9)
n = 5 is our only possible solution if these are the transposed columns.
3. "Fix" the columns in the second number and see if n = 5 is still a solution:
978-946669746-1
978-496669746-1
(9+7n+8+4n+9+6n+6+6n+9+7n+4+6n) mod 10 ≡ (10 - 1)
When n = 5, (9+7n+8+4n+9+6n+6+6n+9+7n+4+6n) mod 10 ≡ 5, so this fails. There is no consistent solution if columns 3 and 4 are transposed.
4. See if there is a valid solution for (n, 4) or columns 4 and 5 transposed under some weight n.
5. "Fix" the columns in the first number and see if any n from 1-9 can generate the proper check digit. Calculations:
978-354181391-9
978-345181391-9
(9+7n+8+3n+4+5n+1+8n+1+3n+9+1n) mod 10 ≡ (10 - 9)
n = 7 is our only possible solution if these are the transposed columns.
6. "Fix" the columns in the second number and see if n = 7 is still a solution:
978-946669746-1
978-964669746-1
(9+7n+8+9n+6+4n+6+6n+9+7n+4+6n) mod 10 ≡ (10 - 1)
When n = 7, (9+7n+8+9n+6+4n+6+6n+9+7n+4+6n) mod 10 ≡ 5, so this fails. There is no consistent solution if columns 4 and 5 are transposed.
7. See if there is a valid solution for (n, 5) or columns 5 and 6 transposed under some weight n.
8. "Fix" the columns in the first number and see if any n from 1-9 can generate the proper check digit. Calculations:
978-354181391-9
978-351481391-9
(9+7n+8+3n+5+1n+4+8n+1+3n+9+1n) mod 10 ≡ (10 - 9)
n = 5 is our only possible solution if these are the transposed columns.
9. "Fix" the columns in the second number and see if n = 5 is still a solution:
978-946669746-1
978-946669746-1
(9+7n+8+9n+4+6n+6+6n+9+7n+4+6n) mod 10 ≡ (10 - 1)
When n = 5, (9+7n+8+9n+4+6n+6+6n+9+7n+4+6n) mod 10 ≡ 5, so this fails. There is no consistent solution if columns 5 and 6 are transposed.
10. See if there is a valid solution for (n, 6) or columns 6 and 7 transposed under some weight n.
11. "Fix" the columns in the first number and see if any n from 1-9 can generate the proper check digit. Calculations:
978-354181391-9
978-354811391-9
(9+7n+8+3n+5+4n+8+1n+1+3n+9+1n) mod 10 ≡ (10 - 9)
n = 9 is our only possible solution if these are the transposed columns.
12. "Fix" the columns in the second number and see if n = 9 is still a solution:
978-946669746-1
978-946669746-1
(9+7n+8+9n+4+6n+6+6n+9+7n+4+6n) mod 10 ≡ (10 - 1)
When n = 9, (9+7n+8+9n+4+6n+6+6n+9+7n+4+6n) mod 10 ≡ 9, so this solution holds for the second number.
13. "Fix" the columns in the third number and see if n = 9 is still a solution:
978-398036139-6
978-398306139-6
(9+7n+8+3n+9+8n+3+0n+6+1n+3+9n) mod 10 ≡ (10 - 6)
When n = 9, (9+7n+8+3n+9+8n+3+0n+6+1n+3+9n) mod 10 ≡ 0, so this fails. There is no consistent solution if columns 6 and 7 are transposed.
14. See if there is a valid solution for (n, 7) or columns 7 and 8 transposed under some weight n.
15. "Fix" the columns in the first number and see if any n from 1-9 can generate the proper check digit. Calculations:
978-354181391-9
978-354118391-9
(9+7n+8+3n+5+4n+1+1n+8+3n+9+1n) mod 10 ≡ (10 - 9)
n = 9 is our only possible solution if these are the transposed columns.
16. "Fix" the columns in the second number and see if n = 9 is still a solution:
978-946669746-1
978-946696746-1
(9+7n+8+9n+4+6n+6+9n+6+7n+4+6n) mod 10 ≡ (10 - 1)
When n = 9, (9+7n+8+9n+4+6n+6+9n+6+7n+4+6n) mod 10 ≡ 3, so this fails. There is no consistent solution if columns 7 and 8 are transposed.
17. See if there is a valid solution for (n, 8) or columns 8 and 9 transposed under some weight n.
18. "Fix" the columns in the first number and see if any n from 1-9 can generate the proper check digit. Calculations:
978-354181391-9
978-354183191-9
(9+7n+8+3n+5+4n+1+8n+3+1n+9+1n) mod 10 ≡ (10 - 9)
n = 4 and n = 9 are both possible solutions to this modular equation.
19. "Fix" the columns in the second number and see if n = 4 and n = 9 are still solutions:
978-946669746-1
978-946667946-1
(9+7n+8+9n+4+6n+6+6n+7+9n+4+6n) mod 10 ≡ (10 - 1)
When n = 4, (9+7n+8+9n+4+6n+6+6n+7+9n+4+6n) mod 10 ≡ 0. When n = 9, (9+7n+8+9n+4+6n+6+6n+7+9n+4+6n) mod 10 ≡ 5. As neither solution found works for the second number, this fails. There is no consistent solution if columns 8 and 9 are transposed.
20. See if there is a valid solution for (n, 9) or columns 9 and 10 transposed under some weight n.
21. "Fix" the columns in the first number and see if any n from 1-9 can generate the proper check digit. Calculations:
978-354181391-9
978-354181931-9
(9+7n+8+3n+5+4n+1+8n+1+9n+3+1n) mod 10 ≡ (10 - 9)
n = 2 and n = 7 are both possible solutions to this modular equation.
22. "Fix" the columns in the second number and see if n = 2 and n = 7 are still solutions:
978-946667946-1
978-946667496-1
(9+7n+8+9n+4+6n+6+6n+7+4n+9+6n) mod 10 ≡ (10 - 1)
When n = 2, (9+7n+8+9n+4+6n+6+6n+7+4n+9+6n) mod 10 ≡ 9 and when n = 7 (9+7n+8+9n+4+6n+6+6n+7+4n+9+6n) mod 10 ≡ 9, so both n = 2 and n = 7 remain consistent.
23. "Fix" the columns in the third number and see if n = 2 and n = 7 are still solutions:
978-398036139-6
978-398036319-6
(9+7n+8+3n+9+8n+0+3n+6+3n+1+9n) mod 10 ≡ (10 - 6)
When n = 2, (9+7n+8+3n+9+8n+0+3n+6+3n+1+9n) mod 10 ≡ 9, so n cannot be 2. When n = 7, (9+7n+8+3n+9+8n+0+3n+6+3n+1+9n) mod 10 ≡ 4, so this solution is still consistent.
24. "Fix" the columns in the fourth number and see if n = 7 is still a solution:
978-447656680-4
978-447656860-4
When n = 7, (9+7n+8+4n+4+7n+6+5n+6+8n+6+0n) mod 10 ≡ (10 - 4)
(9+7n+8+4n+4+7n+6+5n+6+8n+6+0n) mod 10 ≡ 6, so n = 7 is still a potential solution.
24. "Fix" the columns in the fifth number and see if n = 7 is still a solution:
978-279586664-7
978-279586664-7
(9+7n+8+2n+7+9n+5+8n+6+6n+6+4n) mod 10 ≡ (10 - 7)
When n = 7, (9+7n+8+2n+7+9n+5+8n+6+6n+6+4n) mod 10 ≡ 3, so n = 7 is still a potential solution.
24. "Fix" the columns in the sixth number and see if n = 7 is still a solution:
978-595073693-3
978-595073963-3
(9+7n+8+5n+9+5n+0+7n+3+9n+6+3n) mod 10 ≡ (10 - 3)
When n = 7, (9+7n+8+5n+9+5n+0+7n+3+9n+6+3n) mod 10 ≡ 7, so n = 7 is still a potential solution.
25. "Fix" the columns in the seventh number and see if n = 7 is still a solution:
978-976647652-6
978-976647562-6
(9+7n+8+9n+7+6n+6+4n+7+5n+6+2n) mod 10 ≡ (10 - 6)
When n = 7, (9+7n+8+9n+7+6n+6+4n+7+5n+6+2n) mod 10 ≡ 4, so n = 7 is still a potential solution.
26. "Fix" the columns in the eighth number and see if n = 7 is still a solution:
978-591178125-5
978-591178215-5
(9+7n+8+5n+9+1n+1+7n+8+2n+1+5n) mod 10 ≡ (10 - 5)
When n = 7, (9+7n+8+5n+9+1n+1+7n+8+2n+1+5n) mod 10 ≡ 5, so n = 7 is still a potential solution.
27. "Fix" the columns in the ninth number and see if n = 7 is still a solution:
978-728465924-5
978-728465294-5
(9+7n+8+7n+2+8n+4+6n+5+2n+9+4n) mod 10 ≡ (10 - 5)
When n = 7, (9+7n+8+7n+2+8n+4+6n+5+2n+9+4n) mod 10 ≡ 5, so n = 7 is still a potential solution.
28. "Fix" the columns in the final number and see if n = 7 is still a solution:
978-414825155-9
978-414825515-9
(9+7n+8+4n+1+4n+8+2n+5+5n+1+5n) mod 10 ≡ (10 - 9)
When n = 7, (9+7n+8+4n+1+4n+8+2n+5+5n+1+5n) mod 10 ≡ 1, so n = 7 is a consistent solution for all the numbers given. This means that (7, 9) is a solution to the problem.
29. As the problem asks for all possible solutions, we need to check to see if there is a valid solution for (n, 10) or columns 10 and 11 transposed under some weight n even though we found a solution already. It is possible the solution we found is not unique.
30. "Fix" the columns in the first number and see if any n from 1-9 can generate the proper check digit. Calculations:
978-354181391-9
978-354181319-9
(9+7n+8+3n+5+4n+1+8n+1+3n+1+9n) mod 10 ≡ (10 - 9)
n = 4 and n = 9 are both possible solutions to this modular equation.
31. "Fix" the columns in the second number and see if n = 4 and n = 9 are still solutions:
978-946669746-1
978-946669764-1
(9+7n+8+9n+4+6n+6+6n+9+7n+6+4n) mod 10 ≡ (10 - 1)
When n = 4, (9+7n+8+9n+4+6n+6+6n+9+7n+6+4n) mod 10 ≡ 8, so n cannot be 4. When n = 9, (9+7n+8+9n+4+6n+6+6n+9+7n+6+4n) mod 10 ≡ 3, so n cannot be 9. As neither solution found works for the second number, this fails. There is no consistent solution if columns 10 and 11 are transposed.
32. We checked all possible forms of the error and found only one potential solution, (7, 9) so this is our only answer.


Question: The year is 2022. I am at the National Air and Space Museum east of the Potomac River. I want to go to Fire Station 301 DCA ARFF using the metro. I go in the wrong direction and end up at the station closest to Cleveland Elementary School. How many metro stations am I away from my original destination if I don't change lines? Your answer should be a numerical integer value.

1. Google search "National Air and Space Museum".
2. Note there are two National Air and Space Museums. One in Virginia, the other in Washington D.C.
3. Google map search "Potomac River" and zoom out.
4. See that Washington DC is east of the Potomac River.
5. Determine that the National Air and Space Museum refers to the one in Washington D.C.
6. Google search "Metro Station National Air and Space Museum Washington D.C."
7. Clicked on the first result: Getting Here | National Air and Space Museum, https://airandspace.si.edu/visit/museum-dc/directions.
8. Read on the website, "The closest Metrorail stop is at L'Enfant Plaza." Note this location.
6. Google map search "Fire Station 301 DCA ARFF".
7. Zoom out to look for nearby metro stations.
8. The closest station is Ronald Reagan Washington National Airport.
9. Google map search "Cleveland Elementary School".
10. The closest metro station to Cleveland Elementry School is Shaw-Howard Univ Station.
11. Google search "DC Metro Station Map".
12. Clicked on the second result: 2022 System Map, https://www.wmata.com/schedules/maps/upload/2022-System-Map.pdf.
13. Locate L'Enfant Plaza station. It is the transfer station for all color lines.
14. Locate Shaw-Howard Univ stations 4 stops above L'Enfant Plaza station.
15. Locate Ronald Reagan National Airport station on the blue/yellow line.
16. Recall the current location: Shaw-Howard Univ station's yellow/green line.
17. Since the question says no line changes, we deduce the line must be one that Shaw-Howard Univ and Ronald Reagan National Airport stations have in common: yellow line.
18. Begin at Shaw-Howard Univ station and follow the yellow line.
19. Count the number of stops until it reaches Ronald Reagan National Airport station.
20. Final answer: 8.

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3. Access to Google Maps
4. Image recognition tools


Question: What animals that were mentioned in both Ilias Lagkouvardos's and Olga Tapia's papers on the alvei species of the genus named for Copenhagen outside the bibliographies were also present in the 2021 article cited on the alvei species' Wikipedia page about a multicenter, randomized, double-blind study?

1. Searched "alvei copenhagen" on Google.
2. Opened https://en.wikipedia.org/wiki/Hafnia_(bacterium).
3. Searched "Ilias Lagkouvardos hafnia alvei" on Google.
4. Opened https://www.mdpi.com/2076-2607/11/1/123?type=check_update&version=2.
5. Opened a new tab.
6. Searched "Olga Tapia hafnia alvei" on Google.
7. Opened https://pubmed.ncbi.nlm.nih.gov/36080356/.
8. Found all animals mentioned in the first paper.
9. Searched each animal from the first paper in the second paper.
10. Noted the animals mentioned in both outside the bibliographies.
11. Went back to the Wikipedia article.
12. Opened the link in the references to "The Probiotic Strain H. alvei HA4597® Improves Weight Loss in Overweight Subjects under Moderate Hypocaloric Diet: A Proof-of-Concept, Multicenter Randomized, Double-Blind Placebo-Controlled Study".
13. Opened the PDF.
14. Found the animals shared by all three papers.

1. Web browser
2. Search engine
3. PDF access


Question: What integer-rounded percentage of the total length of the harlequin shrimp recorded in Omar Valencfia-Mendez 2017 paper was the sea star fed to the same type of shrimp in G. Curt Fiedler's 2002 paper?

1. Searched "Omar Valencfia-Mendez 2017 shrimp paper" on Google.
2. Opened "Decapoda: Palaemonidae: Hymenocera picta Dana, 1852) ..." on https://www.threatenedtaxa.org/index.php/JoTT/article/view/3238.
3. Clicked "PDF/A".
4. Found the length of the recorded shrimp as TL in the paper (4.5cm).
5. Searched "G. Curt Fiedler 2002 shrimp paper" on Google.
6. Opened "(PDF) The influence of social environment on sex ..." on https://www.researchgate.net/publication/232696279_The_influence_of_social_environment_on_sex_determination_in_harlequin_shrimp_Hymenocera_picta_Decapoda_Gnathophyllidae.
7. Found the size of the sea star fed to the shrimp (1cm).
8. Took the percentage (1 / 4.5 * 100% = 22.22222%).
9. Rounded to the nearest integer (22%).


Question: What is the volume in milliliters of a system comprised of 0.312 kg Freon-12 refrigerant when placed at the bottom of the Marianas Trench and allowed to stabilize at the Trench's peak temperature, rounded to the nearest mL? Provide your answer as just an integer value.

1. Searched "volume from pressure, temperature, mass" on Google.
2. Opened the "Specific Volume: Definition, Formulas, Examples - ThoughtCo" page.
3. Noted that PV = nRT where V is volume, R is the ideal gas constant, T is temperature, P is pressure, and M is moles.
4. Followed the "gas constant" link.
5. Noted that R = 8.31446261815324 J/K-mol.
6. Searched "Freon-12" on Google.
7. Opened the "Dichlorodifluoromethane" on Wikipedia.
8. Noted the molar mass of 120.91 g/mol.
9. Converted 0.312 kg = 312 g.
10. Calculated moles: 312 g / 120.91 g/mol = 2.58 mol.
11. Searched "Marianas Trench pressure" on Google.
12. Noted the pressure in the featured text snippet of 15,750 psi.
13. Searched "psi to atm" on Google.
14. Noted 1 psi = 0.068046 atm.
15. Converted psi to atm: 15,750 * 0.068046 = 1071.7245 atm.
16. Searched "Marianas Trench temperature" on Google.
17. Noted the temperature range from 34-39F.
18. Searched "F to K" on Google.
19. Noted that K equals F plus 459.67 times 5/9 from the conversion tool.
20. Converted temperature to K: 39 + 459.67 * 5/9 = 277.039K.
21. Searched "joules to atm" on Google and noted the conversion of 1 Joule = 0.0098692326671601 Liter Atmosphere from the featured text snippet.
22. Converted 8.31446261815324 * 0.0098692326671601 = 0.08205736608096 L-atm/K-mol.
21. Changed PV = nRT to V = nRT/P
22. Plugged numbers into the ideal gas equation: V = (0.08205736608096 L-atm/K-mol * 277.039K * 2.58 mol) / (1071.7245 atm) = 0.05473 L.
23. Converted to mL: 0.05473 L = 54.73.
24. Rounded to the nearest mL.

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Question: Which of the fruits shown in the 2008 painting "Embroidery from Uzbekistan" were served as part of the October 1949 breakfast menu for the ocean liner that was later used as a floating prop for the film "The Last Voyage"? Give the items as a comma-separated list, ordering them in clockwise order based on their arrangement in the painting starting from the 12 o'clock position. Use the plural form of each fruit.

1. Use search engine to search for "2008 painting Embroidery from Uzbekistan".
2. Open the top result, a link to the painting's page on the Dayton Art Institute website, and verify that the painting has the specified title and year.
3. Identify the fruits in the painting as watermelon, pear, lemon, and banana, which can be verified by either watching the video on the page or reading its linked transcript.
4. Use search engine to search for "ocean liner floating prop The Last Voyage".
5. Note from the results that this ocean liner was the SS Île de France.
6. Use search engine to search for "October 1949 breakfast menu SS Île de France".
7. Go to the result that shows the vintage SS Île de France breakfast menu for October 1949.
8. Search the menu for each of the four fruits from the painting, finding "Pear" and "Bananas" but no matches for "lemon" or "watermelon".
9. Check the positions of the fruits in the painting to find that the pears come before the bananas in clockwise order starting from the 12 o'clock position.
10. Format the final answer as specified using the correct ordering: pears, bananas

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2. Search engine
3. Image recognition and processing tools