Posts by David Hood
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This was shooting through a sprinkler
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Just trying an upload of camera via iPad to public address. Traffic.
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I did post this one a while ago. My picture of a bellbird on a branch. At least it would have been a bellbird but as a pressed the shutter a Tui flew in to chase it away
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From OIAs with a response in the FYI data , the mean time for responses by department
[1] "Associate Minister for Social Development (n=1) 4"
[2] "Associate Minister of Education (n=1) 1"
[3] "Associate Minister of Health (n=1) 20"
[4] "Associate Minister of Immigration (n=1) 1"
[5] "Attorney-General (n=3) 9.67"
[6] "Child Youth and Family (n=11) 17.91"
[7] "Department of Building and Housing (n=9) 16.33"
[8] "Department of Conservation (n=17) 21.88"
[9] "Department of Corrections (n=24) 24.71"
[10] "Department of Internal Affairs (n=52) 17.06"
[11] "Department of Labour (n=9) 63"
[12] "Department of the Prime Minister and Cabinet (n=20) 19.45"
[13] "Inland Revenue Department (n=11) 19"
[14] "Leader of the House (n=1) 21"
[15] "Minister for ACC (n=1) 9"
[16] "Minister for Arts, Culture, and Heritage (n=2) 11"
[17] "Minister for Canterbury Earthquake Recovery (n=3) 36.33"
[18] "Minister for Climate Change Issues (n=1) 51"
[19] "Minister for Consumer Affairs (n=1) 21"
[20] "Minister for Courts (n=4) 10.75"
[21] "Minister for Economic Development (n=4) 12.25"
[22] "Minister for Ethnic Communities (n=1) 1"
[23] "Minister for Regulatory Reform (n=1) 22"
[24] "Minister for Social Development (n=8) 29.62"
[25] "Minister for Sport and Recreation (n=1) 35"
[26] "Minister for State Owned Enterprises (n=2) 8.5"
[27] "Minister for Tertiary Education, Skills and Employment (n=6) 78.33"
[28] "Minister for the Budget (n=1) 19"
[29] "Minister for the Environment (n=1) 17"
[30] "Minister for Treaty of Waitangi Negotiations (n=3) 21.67"
[31] "Minister for Whānau Ora (n=2) 10.5"
[32] "Minister for Youth (n=3) 14.67"
[33] "Minister of Broadcasting (n=2) 19.5"
[34] "Minister of Civil Defence (n=1) 34"
[35] "Minister of Communications and Information Technology (n=1) 30"
[36] "Minister of Conservation (n=4) 13.25"
[37] "Minister of Customs (n=1) 96"
[38] "Minister of Education (n=7) 21.43"
[39] "Minister of Energy and Resources (n=4) 29.75"
[40] "Minister of Finance (n=6) 22.67"
[41] "Minister of Foreign Affairs (n=2) 9"
[42] "Minister of Health (n=3) 21.67"
[43] "Minister of Housing (n=2) 70"
[44] "Minister of Immigration (n=6) 15"
[45] "Minister of Internal Affairs (n=1) 25"
[46] "Minister of Justice (n=16) 18.69"
[47] "Minister of Labour (n=2) 27"
[48] "Minister of Local Government (n=2) 27"
[49] "Minister of Police (n=4) 10.75"
[50] "Minister of Revenue (n=3) 21.33"
[51] "Minister of Trade (n=2) 16"
[52] "Minister of Transport (n=4) 21.25"
[53] "Minister of Veterans' Affairs (n=1) 2"
[54] "Minister Responsible for Ministeral Services (n=1) 17"
[55] "Minister Responsible for the GCSB (n=6) 18"
[56] "Ministry for Culture and Heritage (n=1) 3"
[57] "Ministry for Primary Industries (n=18) 24.56"
[58] "Ministry for the Environment (n=7) 19.29"
[59] "Ministry of Business, Innovation & Employment (n=27) 21.96"
[60] "Ministry of Defence (n=5) 17.6"
[61] "Ministry of Economic Development (n=20) 19.7"
[62] "Ministry of Education (n=53) 24.91"
[63] "Ministry of Foreign Affairs and Trade (n=18) 35.22"
[64] "Ministry of Health (n=50) 18.6"
[65] "Ministry of Justice (n=45) 20.24"
[66] "Ministry of Māori Development (n=2) 19.5"
[67] "Ministry of Social Development (n=119) 28.29"
[68] "Ministry of Transport (n=8) 19.88"
[69] "Prime Minister (n=19) 18" -
For bodies that have open OIAs registered with FYI where those OIAs are more than 60 days old, what percentage are the number of those OIAs of all OIAs received by that body. Or in less technical terms, how many of each bodies OIAs have fallen into the void (only showing those who have had some fall into the void).
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I recalculated on the basis of IS's comments, pulling the 60 and 90 day back earlier into time (by an amount depending on the period being checked) it does really change anything about the fast OIAs getting faster and the slow OIAs getting slower. I should also note there was a lot of stuff getting out the door fast in July/ August/ September.
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Here are percentages of OIAs resolved in 20, 30, 60 and 90 days.
I would interpret (you might want to open this graph in a new window) that as the government has gotten fast at releasing information it is happy to have released (the 20 days level), but that hasn't affected the 30 days threshold so it is not all things getting faster within the 30 area (indeed I assume some of the ones above 20 got slower, since the results in the 20 threshold are not reflected at the 30 level). From the the 60 and 90 day levels we can see that the government has gotten slower at releasing things it does not want to release. Caveats about the samples and the number per month apply.
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1st graph the long term trend is for about half of OIA requests to be resolved in twenty days or less. This hasn't changed much in two years in the FYI data. This says nothing about how long the post-20 day ones have been taking
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Hard News: Media Take: The creeping…, in reply to Rowan Crawford,
For the R users, this gets the pertinent data into a data frame, but I haven't had time to clean up the dates etc.
library(downloader)
download("https://gist.githubusercontent.com/wombleton/934dde2686b7a432dc52/raw/0bbff139cecffa02f947cbcca1b4703ab45070df/output.json", "output.json")
library(jsonlite)
tabdata <- fromJSON("output.json", flatten=TRUE)$requests -
Wellington Central, here is the full list in descending order.
"Wellington Central","LAB",0.860532623754756
"Selwyn","NAT",0.853458716249911
"Ōhāriu","UFNZ",0.843278540869174
"Rongotai","LAB",0.841374666000478
"Ōtaki","NAT",0.835599879117558
"Helensville","NAT",0.833741176470588
"Rodney","NAT",0.826168067579181
"Waitaki","NAT",0.822897699056448
"Dunedin South","LAB",0.82235811281337
"Mana","LAB",0.82204298672863
"Waimakariri","NAT",0.821925279520044
"Hutt South","LAB",0.820796042841273
"Port Hills","LAB",0.820739219712526
"Rangitīkei","NAT",0.817216427027535
"Hunua","NAT",0.815557519316611
"Napier","LAB",0.813083074189249
"Tāmaki","NAT",0.812631299617434
"Mt Albert","LAB",0.81024380609625
"Rimutaka","LAB",0.810115002613696
"Bay of Plenty","NAT",0.808763534522681
"Dunedin North","LAB",0.808687445329405
"Wairarapa","NAT",0.807214920300299
"Taranaki-King Country","NAT",0.807122657335954
"Kaikōura","NAT",0.806961747675031
"Palmerston North","LAB",0.806234046041076
"West Coast-Tasman","LAB",0.806103968697596
"Nelson","NAT",0.806072891591706
"Northland","NAT",0.803234804517029
"Tauranga","NAT",0.802902107688002
"Tukituki","NAT",0.801836861768369
"Auckland Central","NAT",0.801270417422868
"Coromandel","NAT",0.80101052631579
"Ilam","NAT",0.798613932908935
"Waikato","NAT",0.797483496522086
"North Shore","NAT",0.795075211209561
"Rotorua","NAT",0.793331624688366
"Epsom","ACT",0.793308205765303
"Taupō","NAT",0.792770401377897
"Whangarei","NAT",0.791656846570823
"Clutha-Southland","NAT",0.79100626612606
"Christchurch Central","NAT",0.790833582587488
"Rangitata","NAT",0.787261229263222
"New Plymouth","NAT",0.781358216692587
"Hamilton East","NAT",0.779063803215807
"Whanganui","NAT",0.771696961771501
"East Coast","NAT",0.77021914949126
"Christchurch East","LAB",0.769865987164968
"Maungakiekie","NAT",0.769507776599505
"Wigram","LAB",0.769440894168358
"Northcote","NAT",0.768726530789434
"Papakura","NAT",0.768491091560193
"Invercargill","NAT",0.768020441097364
"East Coast Bays","NAT",0.763989086200518
"New Lynn","LAB",0.760477147956533
"Hamilton West","NAT",0.758769962318321
"Te Atatū","LAB",0.758320252962988
"Pakuranga","NAT",0.756379445949489
"Mt Roskill","LAB",0.748430572018087
"Upper Harbour","NAT",0.745452922403981
"Kelston","LAB",0.741416566626651
"Botany","NAT",0.717673378076063
"Manurewa","LAB",0.689726471027851
"Māngere","LAB",0.682182231670539
"Te Tai Tokerau","LAB",0.681297766675588
"Manukau East","LAB",0.680860160965795
"Ikaroa-Rāwhiti","LAB",0.657283686679732
"Te Tai Hauāuru","LAB",0.652903510708766
"Waiariki","MAOR",0.650216274276425
"Te Tai Tonga","LAB",0.637042500230478
"Hauraki-Waikato","LAB",0.628994959976282
"Tāmaki Makaurau","LAB",0.603293109934311
