tweets

This is data scraped from swyx's timeline! See blog post

11 rows where "created_at" is on date 2021-12-26 and retweeted = 0 sorted by lang

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retweet_count 3 ✖

user 1 ✖

retweeted 1 ✖

quoted_status 1 ✖

created_at (date) 1 ✖

  • 2021-12-26 · 11 ✖
id user created_at full_text retweeted_status quoted_status place source truncated display_text_range in_reply_to_status_id in_reply_to_user_id in_reply_to_screen_name geo coordinates contributors is_quote_status retweet_count favorite_count favorited retweeted possibly_sensitive lang ▼ scopes
1475053345710960643 swyx 33521530 2021-12-26T10:38:17+00:00 @jhooks did i miss something or did Quiet Place suddenly become a Christmas movie? https://twitter.com/swyx/status/1475053345710960643/photo/1       Twitter for iPhone 95f3aaaddaa45937ac94765e0ddb68ba2be92d20 0 [8, 82] 1474654416712048644 12087242 jhooks       0 0 1 0 0 0 en  
1475054044972417024 swyx 33521530 2021-12-26T10:41:04+00:00 @Ollytheninja @emarticor nice AND affordable, which always involves a whole lot more innovation than engineers get credit for       Twitter for iPhone 95f3aaaddaa45937ac94765e0ddb68ba2be92d20 0 [25, 125] 1475053188591984641 43270140 Ollytheninja       0 0 2 0 0   en  
1475055088359985153 swyx 33521530 2021-12-26T10:45:12+00:00 @atomiksdev the reality is that what works for one audience wont work for another. this docs writing team has an impossible task writing the One True Explanation for an audience of millions at all experience levels. but its ok - the people who dont resonate with it will go to other resources       Twitter for iPhone 95f3aaaddaa45937ac94765e0ddb68ba2be92d20 0 [12, 292] 1474946634383380480 604296890 atomiksdev       0 0 0 0 0   en  
1475056475651203074 swyx 33521530 2021-12-26T10:50:43+00:00 @atomiksdev put it this way: what makes you so sure that the React team are the most qualified/best possible people to teach React?       Twitter for iPhone 95f3aaaddaa45937ac94765e0ddb68ba2be92d20 0 [12, 131] 1475056044984307717 604296890 atomiksdev       0 0 0 0 0   en  
1475105975518765063 swyx 33521530 2021-12-26T14:07:25+00:00 Imagine if those "Career Days" they do for kids came with honest guidance on probability of success: Actor - 90% luck, 5% talent, 5% hard work Doctor - 10% luck, 10% talent, 80% hard work Fireman - 5% luck, 10% talent, 85% hard work Founder - 30% luck, 20% talent, 50% hard work       Twitter Web App 1f89d6a41b1505a3071169f8d0d028ba9ad6f952 0 [0, 279]             0 6 98 1 0   en  
1475112373283598346 swyx 33521530 2021-12-26T14:32:50+00:00 For those who understand optionality, there's also an implicit life career strategy involved here: 1. go for high luck careers first to try your luck 2. try a few high talent careers to discover if you have it 3. fall back to high hard work careers as they're available to anyone       Twitter Web App 1f89d6a41b1505a3071169f8d0d028ba9ad6f952 0 [0, 280] 1475105975518765063 33521530 swyx       0 2 49 0 0   en  
1475130741654802432 swyx 33521530 2021-12-26T15:45:50+00:00 @DavidKPiano @nnajiabraham @Rich_Harris yeah luck is not 0 of course but the music world seems uniquely setup to identify and nurture child prodigies more so than almost any other field - helps talent (and hard work) be a far bigger component of overall success. i imagine luck is actually #3 in relative terms.       Twitter for iPhone 95f3aaaddaa45937ac94765e0ddb68ba2be92d20 0 [40, 311] 1475123665670971392 992126114 DavidKPiano       0 0 4 0 0   en  
1475137021014605825 swyx 33521530 2021-12-26T16:10:47+00:00 @calcsam @Rich_Harris bit specific, people want to play in the NBA, no matter the position. Steph Curry is 6'2. that aside, to the extent that "talent" is innate and "luck" is exogenous/stochastic, i do like the characterisation of NBA careers as high-talent low-luck       Twitter Web App 1f89d6a41b1505a3071169f8d0d028ba9ad6f952 0 [22, 268] 1475135726060589063 788059556 calcsam       0 0 1 0 0   en  
1475138273899323393 swyx 33521530 2021-12-26T16:15:45+00:00 For those who like economics: High luck industries have a huge amount of deadweight loss from all the people trying their luck (call it search/friction cost). Who's working on better models of industrial organization that more quickly identifies talent and incentivizes work?       Twitter Web App 1f89d6a41b1505a3071169f8d0d028ba9ad6f952 0 [0, 277] 1475112373283598346 33521530 swyx       0 0 5 0 0   en  
1474943492757458946 swyx 33521530 2021-12-26T03:21:46+00:00 @dcedrych @arvidkahl @businessbarista https://twitter.com/swyx/status/1381242204379701252?s=21   1381242204379701252 1381242204379701252   Twitter for iPhone 95f3aaaddaa45937ac94765e0ddb68ba2be92d20 0 [38, 61] 1474878557163823110 2437435208 dcedrych       1 0 2 0 0 0 und  
1475149420962656256 swyx 33521530 2021-12-26T17:00:03+00:00 @missingfaktor https://en.wikipedia.org/wiki/Real_options_valuation       Twitter Web App 1f89d6a41b1505a3071169f8d0d028ba9ad6f952 0 [15, 38] 1475139372458647562 56127471 missingfaktor       0 0 1 0 0 0 und  

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CREATE TABLE [tweets] (
   [id] INTEGER PRIMARY KEY,
   [user] INTEGER REFERENCES [users]([id]),
   [created_at] TEXT,
   [full_text] TEXT,
   [retweeted_status] INTEGER,
   [quoted_status] INTEGER,
   [place] TEXT REFERENCES [places]([id]),
   [source] TEXT REFERENCES [sources]([id]), [truncated] INTEGER, [display_text_range] TEXT, [in_reply_to_status_id] INTEGER, [in_reply_to_user_id] INTEGER, [in_reply_to_screen_name] TEXT, [geo] TEXT, [coordinates] TEXT, [contributors] TEXT, [is_quote_status] INTEGER, [retweet_count] INTEGER, [favorite_count] INTEGER, [favorited] INTEGER, [retweeted] INTEGER, [possibly_sensitive] INTEGER, [lang] TEXT, [scopes] TEXT,
   FOREIGN KEY([retweeted_status]) REFERENCES [tweets]([id]),
   FOREIGN KEY([quoted_status]) REFERENCES [tweets]([id])
);
CREATE INDEX [idx_tweets_source]
    ON [tweets] ([source]);