diff --git a/docs/retrofitOrBust.html b/docs/retrofitOrBust.html
index b87c86f922f74aabb682a9482b59113190f325fc..6abcfdff7cb324f69907d0a2ad71f6d0fd1a5f1d 100644
--- a/docs/retrofitOrBust.html
+++ b/docs/retrofitOrBust.html
@@ -12,7 +12,7 @@
 <meta name="author" content="Ben Anderson" />
 
 
-<title>Retrofit or bust?</title>
+<title>#backOfaFagPacket: Retrofit or bust?</title>
 
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@@ -1628,18 +1628,24 @@ div.tocify {
 
 
 
-<h1 class="title toc-ignore">Retrofit or bust?</h1>
+<h1 class="title toc-ignore">#backOfaFagPacket: Retrofit or bust?</h1>
 <h4 class="author">Ben Anderson</h4>
-<h4 class="date">Last run at: 2020-10-30 15:55:52</h4>
+<h4 class="date">Last run at: 2020-11-10 18:05:19</h4>
 
 </div>
 
 
 <hr>
 <blockquote>
-<p>This frdayFun note was first published as a <a href="https://dataknut.wordpress.com/2020/10/16/retrofit-or-bust/">blog</a></p>
+<p>This fridayFagPacket was first published as a <a href="https://dataknut.wordpress.com/2020/10/16/retrofit-or-bust/">blog</a></p>
 </blockquote>
 <hr>
+<div id="fridayfagpackets" class="section level1">
+<h1><span class="header-section-number">1</span> fridayFagPackets</h1>
+<p>Numbers that could have been done on the back of one and should probably come with a similar health warning…</p>
+<blockquote>
+<p>Find out <a href="https://dataknut.github.io/fridayFagPackets/">more</a>.</p>
+</blockquote>
 <p>It seems like we can’t snooze for a second without HM Govt announcing another ‘build back better’ initiative. The sentiment behind these is totally to be applauded: invest public £ in job (and skill) creating schemes which help fix our <a href="https://www.theccc.org.uk/publication/uk-housing-fit-for-the-future/">energy inefficient homes</a> thereby reducing energy demand (and carbon emissions), increasing thermal comfort and reducing poor health outcomes. Win4.</p>
 <p>Schemes seen to date include:</p>
 <ul>
@@ -1649,12 +1655,13 @@ div.tocify {
 </ul>
 <p>These sound like big numbers.</p>
 <p>But how much is it really going to cost to bring our homes up to standard, assuming we can even agree what standard is required for our <a href="https://www.theccc.org.uk/publication/uk-housing-fit-for-the-future/">greenhouse gas emissions reduction objectives</a>?</p>
+</div>
 <div id="ballparks" class="section level1">
-<h1><span class="header-section-number">1</span> Ballparks</h1>
+<h1><span class="header-section-number">2</span> Ballparks</h1>
 <p>If we want a very ‘<a href="https://www.collinsdictionary.com/submission/11813/back+of+a+fag+packet">back of a fag packet</a>‘ estimate for England we can start with the excellent research provided by the English <a href="https://www.gov.uk/government/statistics/english-housing-survey-2018-energy-report">Housing Survey 2018</a> reports.</p>
 </div>
 <div id="how-big-is-the-problem" class="section level1">
-<h1><span class="header-section-number">2</span> How big is the problem?</h1>
+<h1><span class="header-section-number">3</span> How big is the problem?</h1>
 <p>Pretty big.</p>
 <p><a href="https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/898341/Energy_Chapter_1_Figures_and_Annex_Tables.xlsx">Table AT1.5</a> gives us the number of dwellings and the average SAP-modelled annual energy cost by EPC band. Note that modelled energy cost includes space heating, cooling and hot water but not appliances.</p>
 <p>A quick calculation (see Table 1 below) shows that:</p>
@@ -1683,19 +1690,19 @@ What about the costs?</p>
 <p>Privately rented dwellings are in the same ball park – £46bn or £68bn depending if we include A-C. But the big problem is the 15.2m (63%) owner occupied homes of whom 70% are in band D-G. If we ignore the A-Cs someone needs to find £154bn for this sector and £214bn if we include them. Given emerging evidence on <a href="https://onlinelibrary.wiley.com/doi/full/10.1111/1753-6405.12895">why owners don’t improve their dwellings</a> this is going to be the big one.</p>
 </div>
 <div id="in-sum" class="section level1">
-<h1><span class="header-section-number">3</span> In sum</h1>
+<h1><span class="header-section-number">4</span> In sum</h1>
 <p>Is all this enough to hit our carbon targets? Getting all dwellings up to A/B standard is one approach and it should mean we have a lot less heat energy to decarbonise. Scarily for some, £12bn would also be quite a big chunk out of the retail energy sector’s annual turnover.</p>
 <p>To be sure, £332 bn sounds a lot but remember that the annual English NHS budget is <a href="https://fullfact.org/health/spending-english-nhs/">~£130 bn and rising</a> in a ‘normal’ year. In contrast, according to our fag packet we ‘just’ need to invest £11bn a year (at current prices) for 30 years in dwelling improvements. This co-incidentally also helps to <a href="https://jech.bmj.com/content/63/4/271.short?casa_token=QjmF0S0mRK4AAAAA:PH24tAPvDC7teVFPiOSwxksd2ZjSD91XTLV4rpZCl5DefSUWO_oPmfVlDa-uZjhKCdsRyaUEXxk">reduce the NHS budget</a> through improved health co-benefits. Ideally of course we’d want a front-loaded investment to ‘build back better’, help us deliver quickly on our <a href="https://www.gov.uk/government/topical-events/cop26">COP commitments</a> and <a href="https://www.theccc.org.uk/publication/reducing-uk-emissions-2020-progress-report-to-parliament/">regain at least some moral high ground</a>.</p>
 </div>
 <div id="but-are-we-barking-up-the-wrong-tree" class="section level1">
-<h1><span class="header-section-number">4</span> But are we barking up the wrong tree?</h1>
+<h1><span class="header-section-number">5</span> But are we barking up the wrong tree?</h1>
 <p>However for reasons that are excellently explained in a recent <a href="https://www.passivhaustrust.org.uk/guidance_detail.php?gId=44">PassivHaus Trust report</a>, focusing on EPC bands might be a red herring. This is because ‘high’ EPC bands can be met by installing on-site low carbon generation (e.g. PV) without having to reduce energy inputs and the EPC rating uses energy-input carbon intensity values that are rapidly out of date, especially for electricity. As a result as ‘the carbon emissions associated with expensive electricity continue to reduce, this makes the EPC rating system increasingly inaccurate and means that a highly rated dwelling could potentially produce a very high rate of emissions‘ (p11).</p>
 <p>The Trust instead recommends a focus on space conditioning energy intensity (kWh/m2) as a primary metric. This would mean deciding what kWh/m2 standards we want to hit and devising policy settings and support mechanisms to enable the industry to deliver them at speed and scale.</p>
 <p>Intriguingly this is exactly what N<a href="https://www.mbie.govt.nz/dmsdocument/11793-transforming-operational-efficiency">ew Zealand’s Ministry of Business, Innovation and Employment (MBIE)</a> is currently consulting on with respect to new build dwellings as part of their Building for Climate Change: Transforming operational efficiency and reducing whole-of-life embodied carbon programme. Watch this space.</p>
 </div>
 <div id="detailed-tables" class="section level1">
-<h1><span class="header-section-number">5</span> Detailed tables</h1>
-<p>We did the original analysis in the excel workbooks we downloaded from gov.uk. You can find them <a href="https://git.soton.ac.uk/SERG/fridayfun/-/blob/master/2020-10-16-retrofOrBust/2018_EHS_Energy_Chapter_3_Figures_and_Annex_Tables.xlsx">here</a> (Tab: AT3.4 Edited). Hey, no-one’s perfect.</p>
+<h1><span class="header-section-number">6</span> Detailed tables</h1>
+<p>We did the original analysis in the excel workbooks we downloaded from gov.uk. You can find the workbook working <a href="2018_EHS_Energy_Chapter_3_Figures_and_Annex_Tables.xlsx">here (Tab: AT3.4 Edited))</a>. Hey, no-one’s perfect.</p>
 <div class="figure">
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" alt />
 <p class="caption">Table 1</p>
@@ -1719,7 +1726,7 @@ What about the costs?</p>
 </blockquote>
 </div>
 <div id="r-packages-used" class="section level1">
-<h1><span class="header-section-number">6</span> R packages used</h1>
+<h1><span class="header-section-number">7</span> R packages used</h1>
 <ul>
 <li>rmarkdown <span class="citation">(Allaire et al. 2018)</span></li>
 <li>bookdown <span class="citation">(Xie 2016a)</span></li>
diff --git a/retrofitOrBust/makeFile.R b/retrofitOrBust/makeFile.R
index b6abc6c706f8ca98a702cb430365dbecb49faca2..f351b0d02490b9860440a75813f6f3f18796c446 100644
--- a/retrofitOrBust/makeFile.R
+++ b/retrofitOrBust/makeFile.R
@@ -1,24 +1,16 @@
 makeReport <- function(f){
   # default = html
-  rmarkdown::render(input = paste0(here::here("2020-10-16-retrofOrBust", f), ".Rmd"),
+  rmarkdown::render(input = paste0(here::here("retrofitOrBust", f), ".Rmd"),
                     params = list(title = title,
                                   subtitle = subtitle,
                                   authors = authors),
                     output_file = paste0(here::here("docs/"), f, ".html")
   )
-  # word
-  rmarkdown::render(input = paste0(here::here("2020-10-16-retrofOrBust", f), ".Rmd"),
-                    params = list(title = title,
-                                  subtitle = subtitle,
-                                  authors = authors),
-                    output_file = paste0(here::here("docs/"), f, ".docx"),
-                    output_format = "word_document"
-  )
 }
 
 # >> run report ----
 rmdFile <- "retrofitOrBust" # not the full path
-title = "Retrofit or bust?"
+title = "#backOfaFagPacket: Retrofit or bust?"
 subtitle = ""
 authors = "Ben Anderson"
 
diff --git a/retrofitOrBust/retrofitOrBust.Rmd b/retrofitOrBust/retrofitOrBust.Rmd
index 43213c5f9e56fe4b0934376c03499ec2159cc269..af4499bae8ce8e33f32716eff7ef9d1d9218a615 100644
--- a/retrofitOrBust/retrofitOrBust.Rmd
+++ b/retrofitOrBust/retrofitOrBust.Rmd
@@ -33,6 +33,13 @@ bibliography: '`r path.expand("~/github/dataknut/refs/refs.bib")`'
 >This fridayFagPacket was first published as a [blog](https://dataknut.wordpress.com/2020/10/16/retrofit-or-bust/)
 
 <hr>
+
+# fridayFagPackets
+
+Numbers that could have been done on the back of one and should probably come with a similar health warning...
+
+>Find out [more](https://dataknut.github.io/fridayFagPackets/).
+
 ```{r setup, include=FALSE}
 knitr::opts_chunk$set(echo = TRUE)
 ```