" Starting with a blank page
It can be hard to come up with something new staring at a blank canvas. Whether it’s a social media post, blog or email, start by explicitly copying something that already exists and is proven to work. Then you can modify it to make it your own.
VEXNOMICS OFFICE – THURSDAY
Hey I was hoping you could help me out with something while you're between projects?\nWe have a Twitter but we haven't posted anything in a while.\nI don't suppose you could write up some tweets about data science?\nWrite two to start with and send them to me to check before you post
When you hear the word 'meme' you probably think of internet memes, but that's actually a hijacking of the word. It was coined by british evolutionary biologist Richard Dawkins, and it means the information version of a gene. Unlike genes which reproduce via DNA, memes reproduce by being shared from person to person.\nEvery creative work builds on what came before it. Listen to the White Stripes and hear Lenny Kravitz. Listen to Kravitz and hear Led Zeppelin. Listen to Zeppelin and hear The Blues. Steve Jobs stole the Graphical User Interface from Xerox. George Lucas lifted the scrolling opening credits from Flash Gordon. Iron Man was Marvel's response to the success of DC Comic's Bat Man, which in turn was heavily inspired by Zorro. \nIf everything is a remix and nothing is original, maybe the way we create is all wrong. What if instead of staring at a blank canvas and trying to come up with an original thought, we started by explicitly copying instead? Rather than starting from scratch, we have a solid foundation to build on. We can “stand on the shoulders of giants” and focus our energy on improving and adapting memes that are already proven.
Okay, this is meme jacking. So you need to write some social media posts and you have a bank page ahead of you right here. Really hard to write a a hundred blank page. You needs a little bit of inspiration to get you going. So me and Jackie is basically taking something that already has. A lot of proven worth.\nIt's something that's already quite popular. So is there any filtered, like, you know, that people are, I've already found it useful in the past? And you're using that as a starting point. And then I kind of building on that. Kind of extracting the content and then making it original kind of innovating on it.\nSo you know, you could go into specific quotes. You know, there's a lot of popular quotes in here. If you think about it this is you know, these memes double validated, first of all someone thought it was good enough to write in a book. And then second of all someone thought it was going to have to quote from that book.\nYou can even say triple validated because, you know, even after it was quoted, then there was, you know, 161,000 likes. So the chances are, if you start with this and kind of start the concept behind it and then make it your own, make it. Then you're already starting with something that's always guaranteed to work.\nSo we're going to talk about data science specifically because you know, we are looking for that topic to write about that's what you know, if we're just doing kind of a general account we can just choose more broader quotes, but we want specifically stuff to do data science. Cool. So you get a lot of code sometimes they're big you know, sometimes smaller you typically want to just kind of search through to find something that jumps out at you.\nSo here we go. Sherlock Holmes, it's a capital mistake to theorize before one has data. So obviously that's you know, a pretty popular quote. Like he wouldn't want to just copy that, you know, it shouldn't just take that and say. I think it's stage to theorize before. You have data, you know, that's, that's like pretty close to plagiarism.\nSo you wouldn't want to do that, but you know, we're not here to copy something. Exactly. We're heads, you remix it. We want to make it our own. So let me think about what you know, what, from my experience what scenarios I've kind of been in where fear of. Before I had data and kind of make it unique to me.\nAnd I think that that's really key to making it you know, not plagiarism but you're kind of using it as inspiration. So it's saying it's a mistake to theorize before you have data. So let me see. Here we go. So there was a, I remember there was a scenario when I was running my agency. I had you know, I was talking to one of the team members.\nThey had the ones to run retargeting ads for the client. And and you, they have the stereo already, that retalk team would work really well. Because the product was a really considered purchase. And you know, they kind of had all these theories as to why it would work but they didn't have any data.\nSo I asked them to look at Google analytics and we saw that the website was only getting, I think it was 3000 visits a month. It doesn't have to be precise or accurate, but it's close enough to illustrate the point. So let's say 3000 visits per month. And if you do the calculations with retargeting, you're going to have you know, probably 1%.\nSo 0.01 of the people click on your ad. Even if you reach all of them, let's just assume that we will. So 0.0 is your printer or one times 3000. So we're gonna get 30 clicks and then. Let's say it was like 0.03 conversion rate. So we're going to get less than 1 0 9 per month. So it's not really worth the time for us to set this up yet.\nRight. So three targeting and the problem was I didn't have the data before we came up with the theories. So now let me just write this out in social media. I would client account the analyst, the account\npitching retired,\nbut he had all these theories.\none problem. When we looked at,\nI only have 3000 visits, three K visits and.\nThat's the one.\nCool. Okay. So that's what we have for our post. Let me just see what the word count is. Okay. So it's, you know, it's less than a tweet, 280 we account for a tweet, so that's, that's good. That will fit. And we could kind of edit this down a little bit further now that we have a nugget of information.\nBut hopefully that gives you an illustration of how you think about this type of thing. And obviously it helps if you have experienced or if you can talk to someone. I who has experience you know, you could actually kind of turn this into a question that you ask an expert if you don't have that expertise yourself.\nBut you can see what we did here. We went from having a blank page you know, just five minutes ago to now having a pretty compelling social media. Post. And you know, if we know that this is probably gonna succeed because this is a very famous show, like Holmes quote you know, it's something that he said all the time.\nIt's a mistake to theorize before we have data. It's something that, that data analysts say quite often they include that in presentations and we've captured the spirit of. That, you know, in fact, we've, maybe we'll even have someone quote this back to us. We'll see. But but yeah, we, we were building this tweet on, on the solid foundation and we know that this is a meme or this is something that analysts deal with and data scientists deal with.\nSo we, we, we, we were pretty confident that this is gonna, you know, do good numbers but it's completely original, right? Like we didn't rip this off or, you know, we didn't just do a basic. We actually kind of related it to ourselves and I think that's the key. Hey, hopefully this was.
Why does meme jacking work?
What would be a good example of meme-jacking for the following quote?\n\"Predictions have an expiry date. Action is needed before predictions expire.\"
Meme Jack this quote:\n\"The government are very keen on amassing statistics. They collect them, add them, raise them to the nth power, take the cube root and prepare wonderful diagrams. But you must never forget that every one of these figures comes in the first instance from the village watchman, who just puts down what he damn pleases.\"
Thanks for these, they're good to go!\nCan you do 20 more?"