From 66517497acf2ab3e8108565ff8ed0816c11e037e Mon Sep 17 00:00:00 2001 From: andrewflowers Date: Tue, 19 May 2015 09:41:36 -0400 Subject: [PATCH 1/3] add pew religions data and notebook --- pew-religions/README.md | 6 ++ pew-religions/Religion-Leah.py.ipynb | 1 + pew-religions/current.csv | 101 +++++++++++++++++++++++++++ 3 files changed, 108 insertions(+) create mode 100644 pew-religions/README.md create mode 100644 pew-religions/Religion-Leah.py.ipynb create mode 100644 pew-religions/current.csv diff --git a/pew-religions/README.md b/pew-religions/README.md new file mode 100644 index 0000000..da44290 --- /dev/null +++ b/pew-religions/README.md @@ -0,0 +1,6 @@ +### Pew Religions Model + +This directory contains the code and data behind the story [TK](TK). + +The model uses the [Pew Research Center's 2014 Religious Landscape Survey](http://www.pewforum.org/2015/05/12/americas-changing-religious-landscape/) to measure the relative "pull" of different American religious groups by using Pew's transition matrix for rates of conversions between various faiths to compute what the eventual, stable proportions of religious faiths would be, if people kept leaving and joining faiths at the current rates until the overall numbers stabilized. + diff --git a/pew-religions/Religion-Leah.py.ipynb b/pew-religions/Religion-Leah.py.ipynb new file mode 100644 index 0000000..ec3e48c --- /dev/null +++ b/pew-religions/Religion-Leah.py.ipynb @@ -0,0 +1 @@ +{"nbformat_minor": 0, "cells": [{"execution_count": 39, "cell_type": "code", "source": "### Leah Libresco\n### Leah.Libresco@fivethirtyeight.com", "outputs": [], "metadata": {"collapsed": false, "trusted": true}}, {"execution_count": 40, "cell_type": "code", "source": "import numpy as np\nimport pandas as pd", "outputs": [], "metadata": {"collapsed": true, "trusted": true}}, {"execution_count": 41, "cell_type": "code", "source": "# List of 12 U.S. religious groups stuided by Pew\nreligions = ['Buddhist', 'Catholic', 'Evangel Prot', 'Hindu', 'Hist Black Prot', 'Jehovahs Witness', 'Jewish', 'Mainline Prot', 'Mormon', 'Muslim', 'Orthodox Christian', 'Unaffiliated']", "outputs": [], "metadata": {"collapsed": false, "trusted": true}}, {"execution_count": 42, "cell_type": "code", "source": "# Create a .csv file with a function to write to it \ncsv = open(\"current.csv\", 'w')\ncsv.truncate()\n\ndef write_row(matrix):\n arr = np.asarray(matrix[0])[0]\n row = ','.join([str(a) for a in arr]) + '\\n'\n csv.write(row)", "outputs": [], "metadata": {"collapsed": false, "trusted": true}}, {"execution_count": 43, "cell_type": "code", "source": "# Intitial distribution of religions in US\nfirst = np.matrix([.007, .208, .254, .007, .065, .008, .019, .147, .016, .009, .005, .228])\n\n# Normed to sum to 100%\ncurrent = first / np.sum(first)\nt0 = current\nwrite_row(current)", "outputs": [], "metadata": {"collapsed": false, "trusted": true}}, {"execution_count": 44, "cell_type": "code", "source": "# Transition matrix \ntrans = np.matrix(((0.390296314, 0.027141947, 0.06791021, 0.001857564, 0, 0, 0.011166082, 0.059762879, 0, 0, 0, 0.396569533),\n (0.005370791, 0.593173325, 0.103151608, 0.000649759, 0.010486747, 0.005563864, 0.002041424, 0.053825329, 0.004760476, 0.001130529, 0.000884429, 0.199488989),\n (0.00371836, 0.023900817, 0.650773331, 0.000250102, 0.016774503, 0.003098214, 0.001865491, 0.122807467, 0.004203107, 0.000186572, 0.002123778, 0.151866648),\n (0, 0, 0.0033732, 0.804072618, 0, 0.001511151, 0, 0.01234639, 0, 0.00209748, 0, 0.17659916),\n (0.002051357, 0.016851659, 0.09549708, 0, 0.699214315, 0.010620473, 0.000338804, 0.024372871, 0.000637016, 0.009406884, 0.000116843, 0.129892558),\n (0, 0.023278276, 0.109573979, 0, 0.077957568, 0.336280578, 0, 0.074844833, 0.007624035, 0, 0, 0.35110361),\n (0.006783201, 0.004082693, 0.014329604, 0, 0, 0.000610585, 0.745731278, 0.009587587, 0, 0, 0.002512334, 0.184058682),\n (0.005770357, 0.038017215, 0.187857555, 0.000467601, 0.008144075, 0.004763516, 0.003601208, 0.451798506, 0.005753587, 0.000965543, 0.00109818, 0.25750798),\n (0.007263135, 0.01684885, 0.06319935, 0.000248467, 0.0059394, 0, 0.001649896, 0.03464334, 0.642777489, 0.002606278, 0, 0.208904711),\n (0, 0.005890381, 0.023573308, 0, 0.011510643, 0, 0.005518343, 0.014032084, 0, 0.772783807, 0, 0.15424369),\n (0.004580353, 0.042045841, 0.089264134\t, 0, 0.00527346, 0, 0, 0.061471387, 0.005979218, 0.009113978, 0.526728084, 0.243246723),\n (0.006438308, 0.044866331, 0.1928814, 0.002035375, 0.04295005, 0.010833621, 0.011541439, 0.09457963, 0.01365141, 0.005884336, 0.002892072, 0.525359211)))\n\n# Fertility array\nfert = np.matrix(((2.1, 2.3, 2.3, 2.1, 2.5, 2.1, 2, 1.9, 3.4, 2.8, 2.1, 1.7)))\n\n# Create data frame for printing later\nreligionDataFrame = pd.DataFrame()", "outputs": [], "metadata": {"collapsed": false, "trusted": true}}, {"execution_count": 45, "cell_type": "code", "source": "# Run model\nfor x in range(0,100):\n\n ### beginning of conversion step\n \n # apply transition matrix to current distribution\n current = current * trans\n \n ### beginning of fertility step\n \n # divide by two for couple number\n current = current/2\n \n # adjust by fertility\n \n current = np.multiply(fert, current)\n \n # normalize to 100%\n \n current = current / np.sum(current)\n \n write_row(current)\n \n # add to data frame\n religionDataFrame = religionDataFrame.append(pd.DataFrame(current), ignore_index=True)\n\ncsv.close()", "outputs": [], "metadata": {"collapsed": true, "trusted": true}}, {"execution_count": 47, "cell_type": "code", "source": "# Print data frame with results\nreligionDataFrame.columns = religions\nreligionDataFrame", "outputs": [{"execution_count": 47, "output_type": "execute_result", "data": {"text/plain": " Buddhist Catholic Evangel Prot Hindu Hist Black Prot \\\n0 0.007924 0.170263 0.309520 0.006728 0.080042 \n1 0.007981 0.140118 0.331889 0.006234 0.090308 \n2 0.007856 0.119514 0.340401 0.005752 0.097890 \n3 0.007710 0.105453 0.341544 0.005303 0.103242 \n4 0.007583 0.095775 0.338780 0.004895 0.106781 \n5 0.007482 0.088996 0.334004 0.004532 0.108869 \n6 0.007402 0.084125 0.328280 0.004213 0.109811 \n7 0.007339 0.080515 0.322217 0.003934 0.109868 \n8 0.007288 0.077748 0.316165 0.003692 0.109259 \n9 0.007247 0.075553 0.310324 0.003483 0.108167 \n10 0.007214 0.073759 0.304804 0.003302 0.106743 \n11 0.007186 0.072254 0.299659 0.003148 0.105108 \n12 0.007163 0.070967 0.294911 0.003015 0.103356 \n13 0.007144 0.069849 0.290562 0.002901 0.101562 \n14 0.007128 0.068869 0.286601 0.002804 0.099779 \n15 0.007114 0.068004 0.283011 0.002720 0.098049 \n16 0.007102 0.067237 0.279769 0.002649 0.096397 \n17 0.007093 0.066557 0.276852 0.002587 0.094844 \n18 0.007084 0.065953 0.274235 0.002535 0.093398 \n19 0.007077 0.065416 0.271894 0.002489 0.092065 \n20 0.007071 0.064939 0.269805 0.002450 0.090845 \n21 0.007066 0.064516 0.267944 0.002417 0.089735 \n22 0.007062 0.064142 0.266290 0.002387 0.088731 \n23 0.007059 0.063810 0.264823 0.002362 0.087827 \n24 0.007056 0.063517 0.263523 0.002341 0.087016 \n25 0.007053 0.063259 0.262374 0.002322 0.086291 \n26 0.007051 0.063030 0.261359 0.002305 0.085644 \n27 0.007049 0.062829 0.260463 0.002291 0.085068 \n28 0.007048 0.062652 0.259674 0.002279 0.084557 \n29 0.007047 0.062497 0.258980 0.002268 0.084104 \n.. ... ... ... ... ... \n70 0.007056 0.061429 0.254164 0.002197 0.080749 \n71 0.007056 0.061429 0.254164 0.002197 0.080746 \n72 0.007056 0.061429 0.254164 0.002197 0.080744 \n73 0.007056 0.061429 0.254164 0.002197 0.080742 \n74 0.007056 0.061429 0.254165 0.002197 0.080740 \n75 0.007057 0.061429 0.254165 0.002197 0.080738 \n76 0.007057 0.061430 0.254166 0.002197 0.080737 \n77 0.007057 0.061430 0.254167 0.002197 0.080735 \n78 0.007057 0.061430 0.254168 0.002197 0.080734 \n79 0.007057 0.061431 0.254169 0.002197 0.080733 \n80 0.007057 0.061431 0.254170 0.002197 0.080732 \n81 0.007058 0.061431 0.254171 0.002197 0.080731 \n82 0.007058 0.061432 0.254172 0.002197 0.080730 \n83 0.007058 0.061432 0.254173 0.002197 0.080729 \n84 0.007058 0.061432 0.254174 0.002197 0.080728 \n85 0.007058 0.061433 0.254175 0.002197 0.080728 \n86 0.007058 0.061433 0.254176 0.002197 0.080727 \n87 0.007058 0.061433 0.254177 0.002197 0.080727 \n88 0.007059 0.061433 0.254178 0.002197 0.080726 \n89 0.007059 0.061434 0.254179 0.002197 0.080726 \n90 0.007059 0.061434 0.254180 0.002197 0.080725 \n91 0.007059 0.061434 0.254181 0.002197 0.080725 \n92 0.007059 0.061435 0.254182 0.002197 0.080724 \n93 0.007059 0.061435 0.254183 0.002197 0.080724 \n94 0.007059 0.061435 0.254184 0.002197 0.080723 \n95 0.007059 0.061435 0.254185 0.002197 0.080723 \n96 0.007059 0.061436 0.254186 0.002197 0.080723 \n97 0.007059 0.061436 0.254186 0.002197 0.080722 \n98 0.007059 0.061436 0.254187 0.002197 0.080722 \n99 0.007059 0.061436 0.254188 0.002197 0.080722 \n\n Jehovahs Witness Jewish Mainline Prot Mormon Muslim \\\n0 0.008986 0.018492 0.128123 0.028069 0.013271 \n1 0.008980 0.017417 0.120477 0.039642 0.017382 \n2 0.008785 0.016412 0.117260 0.051127 0.021558 \n3 0.008572 0.015526 0.115117 0.062488 0.025770 \n4 0.008375 0.014768 0.113124 0.073661 0.029978 \n5 0.008197 0.014130 0.111103 0.084574 0.034138 \n6 0.008031 0.013595 0.109070 0.095151 0.038205 \n7 0.007874 0.013148 0.107080 0.105324 0.042139 \n8 0.007723 0.012773 0.105176 0.115035 0.045908 \n9 0.007578 0.012457 0.103386 0.124239 0.049485 \n10 0.007441 0.012190 0.101724 0.132901 0.052850 \n11 0.007310 0.011963 0.100194 0.141003 0.055991 \n12 0.007187 0.011770 0.098797 0.148534 0.058901 \n13 0.007072 0.011605 0.097526 0.155496 0.061578 \n14 0.006965 0.011462 0.096376 0.161900 0.064025 \n15 0.006867 0.011339 0.095339 0.167762 0.066250 \n16 0.006777 0.011232 0.094407 0.173106 0.068260 \n17 0.006695 0.011139 0.093571 0.177959 0.070069 \n18 0.006620 0.011058 0.092823 0.182351 0.071688 \n19 0.006553 0.010988 0.092155 0.186313 0.073130 \n20 0.006492 0.010925 0.091561 0.189877 0.074411 \n21 0.006437 0.010871 0.091033 0.193076 0.075542 \n22 0.006389 0.010823 0.090564 0.195942 0.076539 \n23 0.006345 0.010781 0.090148 0.198503 0.077414 \n24 0.006306 0.010744 0.089781 0.200789 0.078178 \n25 0.006272 0.010711 0.089456 0.202827 0.078845 \n26 0.006242 0.010682 0.089170 0.204642 0.079423 \n27 0.006215 0.010657 0.088917 0.206256 0.079923 \n28 0.006191 0.010635 0.088695 0.207690 0.080353 \n29 0.006170 0.010615 0.088500 0.208965 0.080723 \n.. ... ... ... ... ... \n70 0.006019 0.010457 0.087162 0.219413 0.081818 \n71 0.006019 0.010457 0.087162 0.219435 0.081798 \n72 0.006019 0.010456 0.087163 0.219457 0.081777 \n73 0.006019 0.010456 0.087163 0.219477 0.081758 \n74 0.006018 0.010456 0.087163 0.219496 0.081739 \n75 0.006018 0.010456 0.087163 0.219514 0.081721 \n76 0.006018 0.010455 0.087164 0.219531 0.081703 \n77 0.006018 0.010455 0.087164 0.219548 0.081686 \n78 0.006018 0.010455 0.087165 0.219563 0.081670 \n79 0.006018 0.010455 0.087165 0.219578 0.081654 \n80 0.006018 0.010455 0.087166 0.219592 0.081639 \n81 0.006018 0.010454 0.087166 0.219605 0.081625 \n82 0.006018 0.010454 0.087166 0.219617 0.081610 \n83 0.006018 0.010454 0.087167 0.219629 0.081597 \n84 0.006018 0.010454 0.087167 0.219641 0.081584 \n85 0.006018 0.010454 0.087168 0.219652 0.081571 \n86 0.006018 0.010454 0.087168 0.219662 0.081559 \n87 0.006018 0.010454 0.087169 0.219672 0.081548 \n88 0.006018 0.010453 0.087169 0.219682 0.081536 \n89 0.006018 0.010453 0.087169 0.219691 0.081526 \n90 0.006018 0.010453 0.087170 0.219699 0.081515 \n91 0.006018 0.010453 0.087170 0.219708 0.081505 \n92 0.006018 0.010453 0.087170 0.219716 0.081496 \n93 0.006018 0.010453 0.087171 0.219723 0.081487 \n94 0.006018 0.010453 0.087171 0.219731 0.081478 \n95 0.006018 0.010453 0.087171 0.219738 0.081469 \n96 0.006018 0.010453 0.087172 0.219744 0.081461 \n97 0.006018 0.010452 0.087172 0.219751 0.081453 \n98 0.006018 0.010452 0.087172 0.219757 0.081446 \n99 0.006018 0.010452 0.087173 0.219763 0.081438 \n\n Orthodox Christian Unaffiliated \n0 0.004466 0.224115 \n1 0.004070 0.215501 \n2 0.003812 0.209631 \n3 0.003629 0.205648 \n4 0.003485 0.202793 \n5 0.003364 0.200612 \n6 0.003258 0.198860 \n7 0.003162 0.197401 \n8 0.003076 0.196158 \n9 0.002997 0.195083 \n10 0.002925 0.194146 \n11 0.002860 0.193323 \n12 0.002800 0.192599 \n13 0.002747 0.191958 \n14 0.002699 0.191392 \n15 0.002656 0.190890 \n16 0.002617 0.190446 \n17 0.002582 0.190053 \n18 0.002551 0.189705 \n19 0.002524 0.189397 \n20 0.002499 0.189125 \n21 0.002477 0.188885 \n22 0.002458 0.188674 \n23 0.002441 0.188487 \n24 0.002425 0.188323 \n25 0.002412 0.188179 \n26 0.002400 0.188052 \n27 0.002390 0.187941 \n28 0.002380 0.187844 \n29 0.002372 0.187759 \n.. ... ... \n70 0.002315 0.187222 \n71 0.002315 0.187223 \n72 0.002315 0.187224 \n73 0.002315 0.187224 \n74 0.002315 0.187225 \n75 0.002315 0.187226 \n76 0.002315 0.187226 \n77 0.002315 0.187227 \n78 0.002315 0.187228 \n79 0.002315 0.187228 \n80 0.002315 0.187229 \n81 0.002315 0.187230 \n82 0.002315 0.187230 \n83 0.002315 0.187231 \n84 0.002315 0.187231 \n85 0.002315 0.187232 \n86 0.002315 0.187232 \n87 0.002315 0.187233 \n88 0.002315 0.187233 \n89 0.002315 0.187234 \n90 0.002315 0.187234 \n91 0.002315 0.187235 \n92 0.002315 0.187235 \n93 0.002315 0.187236 \n94 0.002315 0.187236 \n95 0.002315 0.187236 \n96 0.002315 0.187237 \n97 0.002315 0.187237 \n98 0.002315 0.187237 \n99 0.002315 0.187238 \n\n[100 rows x 12 columns]", "text/html": "
\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
BuddhistCatholicEvangel ProtHinduHist Black ProtJehovahs WitnessJewishMainline ProtMormonMuslimOrthodox ChristianUnaffiliated
0 0.007924 0.170263 0.309520 0.006728 0.080042 0.008986 0.018492 0.128123 0.028069 0.013271 0.004466 0.224115
1 0.007981 0.140118 0.331889 0.006234 0.090308 0.008980 0.017417 0.120477 0.039642 0.017382 0.004070 0.215501
2 0.007856 0.119514 0.340401 0.005752 0.097890 0.008785 0.016412 0.117260 0.051127 0.021558 0.003812 0.209631
3 0.007710 0.105453 0.341544 0.005303 0.103242 0.008572 0.015526 0.115117 0.062488 0.025770 0.003629 0.205648
4 0.007583 0.095775 0.338780 0.004895 0.106781 0.008375 0.014768 0.113124 0.073661 0.029978 0.003485 0.202793
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100 rows \u00d7 12 columns

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5f322b2223a4f5c9da34e989319ab407107bea90 Mon Sep 17 00:00:00 2001 From: andrewflowers Date: Tue, 19 May 2015 09:43:16 -0400 Subject: [PATCH 2/3] update README --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index d13ba93..bd9640a 100644 --- a/README.md +++ b/README.md @@ -4,6 +4,7 @@ We hope you'll use it to check our work and to create stories and visualizations Article Date(s) | Headline(s) | Folder ---|---------|------------- +May 19, 2015 | [Evangelical Protestants Are The Biggest Winners When People Change Faiths](http://fivethirtyeight.com/datalab/evangelical-protestants-are-the-biggest-winners-when-people-change-faiths/) | `pew-religions` May 15, 2015 | [‘Mad Men’ Is Ending. What’s Next For The Cast?](http://fivethirtyeight.com/datalab/mad-men-is-ending-whats-next-for-the-cast/) | `mad-men` May 12, 2015 | [Joining The Avengers Is As Deadly As Jumping Off A Four-Story Building](http://fivethirtyeight.com/features/avengers-death-comics-age-of-ultron) | `avengers` April 23, 2015 | [How Baby Boomers Get High](http://fivethirtyeight.com/datalab/how-baby-boomers-get-high/) | `drug-use-by-age` From 9876a022ddc68b76d5b6d55effa9303fc0bda924 Mon Sep 17 00:00:00 2001 From: andrewflowers Date: Tue, 19 May 2015 09:44:55 -0400 Subject: [PATCH 3/3] fix pew religions README --- pew-religions/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pew-religions/README.md b/pew-religions/README.md index da44290..683fe2f 100644 --- a/pew-religions/README.md +++ b/pew-religions/README.md @@ -1,6 +1,6 @@ ### Pew Religions Model -This directory contains the code and data behind the story [TK](TK). +This directory contains the code and data behind the story [Evangelical Protestants Are The Biggest Winners When People Change Faiths](http://fivethirtyeight.com/datalab/evangelical-protestants-are-the-biggest-winners-when-people-change-faiths/). The model uses the [Pew Research Center's 2014 Religious Landscape Survey](http://www.pewforum.org/2015/05/12/americas-changing-religious-landscape/) to measure the relative "pull" of different American religious groups by using Pew's transition matrix for rates of conversions between various faiths to compute what the eventual, stable proportions of religious faiths would be, if people kept leaving and joining faiths at the current rates until the overall numbers stabilized.