Fix an issue with how quarters were calculated

Ended up throwing off the final estimate by 6 quarters.

content/notebooks/2016-4-6-tick-tock....ipynb

@@ -60,7 +60,7 @@
    "cell_type": "code",
    "execution_count": 2,
    "metadata": {
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+    "collapsed": false
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    "source": [
@@ -389,7 +389,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 12,
    "metadata": {
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@@ -398,7 +398,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Quarters left starting 2068: 2\n",
+      "Quarters left starting 2068: 8\n",
       "Remaining heartbeats after that: 4760716\n"
      ]
     }
@@ -407,7 +407,7 @@
     "remaining_leap = remaining_4y - leap_day_count\n",
     "# Ignore leap day in the data set\n",
     "heartbeats_quarter = hr_df_full[(hr_df_full.index.month != 2) &\n",
-    "                                (hr_df_full.index.day != 29)]['value'].sum() * 4\n",
+    "                                (hr_df_full.index.day != 29)]['value'].sum()\n",
     "quarters_left = remaining_leap // heartbeats_quarter\n",
     "remaining_year = remaining_leap - quarters_left * heartbeats_quarter\n",
     "\n",
@@ -419,12 +419,12 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "So, that analysis gets me through the 2<sup>nd</sup> quarter in 2068, specifically to June 1<sup>st</sup>, 2068. Final step, using that minute estimate to figure out how many minutes past that I'm predicted to have:"
+    "So, that analysis gets me through until January 1<sup>st</sup> 2070. Final step, using that minute estimate to figure out how many minutes past that I'm predicted to have:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 13,
    "metadata": {
     "collapsed": false
    },
@@ -432,10 +432,10 @@
     {
      "data": {
       "text/plain": [
-       "datetime.datetime(2069, 8, 23, 5, 28)"
+       "datetime.datetime(2070, 2, 23, 5, 28)"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -443,7 +443,7 @@
    "source": [
     "from datetime import timedelta\n",
     "\n",
-    "base = datetime(2068, 7, 1)\n",
+    "base = datetime(2070, 1, 1)\n",
     "minutes_left = remaining_year // minute_mean\n",
     "\n",
     "kaput = timedelta(minutes=minutes_left)\n",
@@ -454,11 +454,11 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "According to this, I've got until August 23<sup>rd</sup>, 2069 at 5:28 PM in the evening before my heart gives out.\n",
+    "According to this, I've got until February 23<sup>rd</sup>, 2070 at 5:28 PM in the evening before my heart gives out.\n",
     "\n",
     "# Summary\n",
     "\n",
-    "Well, that's kind of a creepy date to know. As I said at the top though, **this number is totally useless in any medical context**. It ignores the rate at which we continue to get better at making people live longer, and is extrapolating from 3 months' worth of data the rest of my life.\n",
+    "Well, that's kind of a creepy date to know. As I said at the top though, **this number is totally useless in any medical context**. It ignores the rate at which we continue to get better at making people live longer, and is extrapolating from 3 months' worth of data the rest of my life. Additionally, throughout my time developing this post I made many minor mistakes. I think they're all fixed now, but it's easy to mix a number up here or there and the analysis gets thrown off by a couple years.\n",
     "\n",
     "Even still, I think philosophically humans have a desire to know how much time we have left in the world. [Man is but a breath](https://www.biblegateway.com/passage/?search=psalm+144&version=ESV), and it's scary to think just how quickly that date may be coming up. This analysis asks an important question though: what are you going to do with the time you have left?\n",
     "\n",
@@ -468,21 +468,21 @@
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-   "display_name": "Python 2",
+   "display_name": "Python 3",
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-   "name": "python2"
+   "name": "python3"
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   "language_info": {
    "codemirror_mode": {
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+    "version": 3
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    "file_extension": ".py",
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    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.5.1"
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