Row 82912

Row ID: 82912 | Dataset Entry | Axioma AXP Content Repository

Content Data

This page contains data entry 82912 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

no using objects like these as comparisons really help people better understand how big they are.

people roughly know a foot or a meter or a pound but when i say "40 ft" or "2000 pounds" or "500 meters" or "20 km" there is not as good of an intuitive understanding. but if i say its the size of a school bus or the distance between two famous cities or that it lasted about as long as the roman empire then people get a better since of the scale because those are actual things, not just metrics made up to make the process of science easier.

humans think and understand things very much through analogies. if you think this is just an american thing you have been unfortunately misled and you will get much better traction with ideas or stories if you contextualize them in these kinds of ways.

if you tell people 40,000 people have died in gaza they might have a sense for that but if you tell them that half a nfl stadium's capacity died they can better situate each and every one of those people into a seat.

you can either pretend like you are above people and scoff when they dont really understand what you are saying or you can speak the language of the people and use facts and figures that relate to their general everyday experience.

FieldValue
text no using objects like these as comparisons really help people better understand how big they are. people roughly know a foot or a meter or a pound but when i say "40 ft" or "2000 pounds" or "500 meters" or "20 km" there is not as good of an intuitive understanding. but if i say its the size of a school bus or the distance between two famous cities or that it lasted about as long as the roman empire then people get a better since of the scale because those are actual things, not just metrics mad…
label r/openai
dataType comment
communityName r/OpenAI
datetime 2024-05-24
username_encoded Z0FBQUFBQm5Lak1tbDdKR0ZQaG1pSkNuaUhYYnRrTjBxQk1MR204UnNUcGdMaWI0OGI0dFY4N2N1UmlCOU5KZW9fejJ5UnBFR3BZdkVFU2wzR0IwVkptODA0RkVTcmRkVnc9PQ==
url_encoded Z0FBQUFBQm5Lak8za29JS0k5XzJGWm5vVlk2a2ZTUDdyOXlUWklsSVh5ejNVSVZ4NV9RYXM5NjJ5VlkzODBwZktvQzNKVlJGYWh5UHg5cUxVVk45eVZpNVZnaUpFaXBHdVVya2htX2hweU1BQ3JqSEZDN09nc084ZUg0OHB0WTZsWTdvNnRwNTVpenFCbGp2eTVBOE83aFhOV3I4ck5UUGhHUHB5eUhXVGFGb2xaRVlOVF9aajdlOG13azVuVFVBUWMyVjhlTHJxdVp4YkMwcGpBVTNBcDdCOEZyLTZGU1lpUT09

Raw Record

{
  "text": "no using objects like these as comparisons really help people better understand how big they are.\n\npeople roughly know a foot or a meter or a pound but when i say \"40 ft\" or \"2000 pounds\" or \"500 meters\" or \"20 km\" there is not as good of an intuitive understanding. but if i say its the size of a school bus or the distance between two famous cities or that it lasted about as long as the roman empire then people get a better since of the scale because those are actual things, not just metrics made up to make the process of science easier.\n\nhumans think and understand things very much through analogies. if you think this is just an american thing you have been unfortunately misled and you will get much better traction with ideas or stories if you contextualize them in these kinds of ways. \n\nif you tell people 40,000 people have died in gaza they might have a sense for that but if you tell them that half a nfl stadium's capacity died they can better situate each and every one of those people into a seat. \n\nyou can either pretend like you are above people and scoff when they dont really understand what you are saying or you can speak the language of the people and use facts and figures that relate to their general everyday experience.",
  "label": "r/openai",
  "dataType": "comment",
  "communityName": "r/OpenAI",
  "datetime": "2024-05-24",
  "username_encoded": "Z0FBQUFBQm5Lak1tbDdKR0ZQaG1pSkNuaUhYYnRrTjBxQk1MR204UnNUcGdMaWI0OGI0dFY4N2N1UmlCOU5KZW9fejJ5UnBFR3BZdkVFU2wzR0IwVkptODA0RkVTcmRkVnc9PQ==",
  "url_encoded": "Z0FBQUFBQm5Lak8za29JS0k5XzJGWm5vVlk2a2ZTUDdyOXlUWklsSVh5ejNVSVZ4NV9RYXM5NjJ5VlkzODBwZktvQzNKVlJGYWh5UHg5cUxVVk45eVZpNVZnaUpFaXBHdVVya2htX2hweU1BQ3JqSEZDN09nc084ZUg0OHB0WTZsWTdvNnRwNTVpenFCbGp2eTVBOE83aFhOV3I4ck5UUGhHUHB5eUhXVGFGb2xaRVlOVF9aajdlOG13azVuVFVBUWMyVjhlTHJxdVp4YkMwcGpBVTNBcDdCOEZyLTZGU1lpUT09"
}
Explore Dataset Explore Row

Entry Information