Little useless-useful R functions – Absurd bias DAG with useless mental shortcuts

Exploring graphs is always a fun. Attaching the edges and nodes with real examples of psychological effects and accompany them with useless mental shortcuts is beyond fun. This is why we will call it a “cognitive bias” explorer using DAG.

Here are the graphs edges and nodes and we are calling them biases and weird links. Because, yes Let’s mix the math with psychology.

  biases <- c(
    "Confirmation Bias", "Anchoring Bias", "Availability Heuristic", 
    "Dunning-Kruger Effect", "Survivorship Bias", "Recency Bias",
    "Sunk Cost Fallacy", "Bandwagon Effect", "Framing Effect", 
    "Self-Serving Bias", "Negativity Bias", "Halo Effect"
  )
  
  # useless links 
  weird_links <- c(
    "You saw it on Reddit", "Too lazy to verify", "Sounds familiar",
    "Because Elon tweeted it", "Grandma said so", "Wikipedia said maybe",
    "Your gut feeling", "Cited by no one", "Used in a TED talk",
    "Found in fortune cookie", "Might be science", "Feels statistically valid"
  )

With this real life useless connections we can build a data.frame:

  edges <- data.frame(
    from = sample(biases, n_links, replace = TRUE),
    to = sample(biases, n_links, replace = TRUE),
    reason = sample(weird_links, n_links, replace = TRUE),
    stringsAsFactors = FALSE
  )

And finally, let’s glue all the pieces together:

library(igraph)
library(ggraph)
library(ggplot2)

bias_explorer <- function(seed = 2908, n_links = 25) {
  set.seed(seed)
  
  # Some psych effects from RL
  biases <- c(
    "Confirmation Bias", "Anchoring Bias", "Availability Heuristic", 
    "Dunning-Kruger Effect", "Survivorship Bias", "Recency Bias",
    "Sunk Cost Fallacy", "Bandwagon Effect", "Framing Effect", 
    "Self-Serving Bias", "Negativity Bias", "Halo Effect"
  )
  
  # useless links 
  weird_links <- c(
    "You saw it on Reddit", "Too lazy to verify", "Sounds familiar",
    "Because Elon tweeted it", "Grandma said so", "Wikipedia said maybe",
    "Your gut feeling", "Cited by no one", "Used in a TED talk",
    "Found in fortune cookie", "Might be science", "Feels statistically valid"
  )

  edges <- data.frame(
    from = sample(biases, n_links, replace = TRUE),
    to = sample(biases, n_links, replace = TRUE),
    reason = sample(weird_links, n_links, replace = TRUE),
    stringsAsFactors = FALSE
  )
  
  edges <- edges[edges$from != edges$to, ]
  g <- graph_from_data_frame(edges, vertices = data.frame(name = biases), directed = TRUE)

  ggraph(g, layout = "drl") +
    geom_edge_link(
      aes(label = reason),
      arrow = arrow(length = unit(3, 'mm')),
      end_cap = circle(2, 'mm'),
      start_cap = circle(2, 'mm'),
      label_colour = "darkgray",
      edge_width = 1.2,
      colour = "skyblue"
    ) +
    geom_node_point(color = "darkred", size = 6) +
    geom_node_text(aes(label = name), repel = TRUE, fontface = "bold", size = 3.5) +
    labs(
      title = "Bias_explorer(): The Absurd Web of Biases",
      subtitle = "Visualizing ridiculous mental shortcuts.",
      caption = "Edges represent irrational and useless connections."
    ) +
    theme_void()
  
}

Just to get a graph of random connections that can spark useless or useful imagination when examining your or one’s head.

As always, the complete code is available on GitHub in  Useless_R_function repository. The sample file in this repository is here (filename: Cognitive bias.R). Check the repository for future updates.

Carry on with R-coding and stay healthy!

Related