Author Topic: How Does Worldometer Get Deaths by the Minute? (Read 813 times)

Last Tradhican · « **on:** April 16, 2020, 07:12:35 AM »

How does Worldometer and the rest of the online Covid19 counters get their USA numbers by the minute, while the United States Center for Decease Control (CDC) does not have their final weekly numbers accurate for months?

Here are snippets from the CDC spreadsheets published every week, these are the last three reports. Notice how week 11 changes with every report. In my analysis, it takes about 3 months for the numbers to stabilize and not change so much. There is no way for the Worldometers to get their information before the CDC which is the governmental entity that collects this information. So, I have to conclude that the Worldometers are just projection clocks which can be manipulated to say anything the propagandists want to convey to the masses.

Year	Week	All Deaths
2020	1	58822
2020	2	58670
2020	3	56942
2020	4	56111
2020	5	54926
2020	6	55054
2020	7	53647
2020	8	52985
2020	9	51721
2020	10	47917
2020	11	37641

Year	Week	All Deaths
2020	1	58961
2020	2	58962
2020	3	57371
2020	4	56666
2020	5	55849
2020	6	55992
2020	7	54246
2020	8	53745
2020	9	53382
2020	10	51978
2020	11	47655
2020	12	40002

Year	Week	All Deaths
2020	1	59033
2020	2	59052
2020	3	57522
2020	4	56881
2020	5	56231
2020	6	56586
2020	7	55109
2020	8	54650
2020	9	54268
2020	10	53463
2020	11	50785
2020	12	48488
2020	13	44402

forlorn · « **Reply #1 on:** April 16, 2020, 07:20:17 AM »

It cites their sources on the right: https://www.worldometers.info/coronavirus/country/us/

Looks like they're going off the estimates published by state agencies and the like. The estimates don't all come out at the same time, so if California update their numbers and then Ohio do it ten minutes later, then the national figure gets updated twice in 10 minutes and it looks like it's being updated nearly minute-by-minute.

Last Tradhican · « **Reply #2 on:** April 16, 2020, 07:23:07 AM »

Here is the total death figures from the CDC spreadsheet for this week which if you have MS Excel, you can download in full from this link https://www.cdc.gov/flu/weekly/weeklyarchives2019-2020/data/NCHSDATA14.csv To download next report coming out next week just change the 14 to a 15.

I rearranged the spreadsheet to show the order of Deaths by All Causes from the highest to the lowest. The spreadsheet from the CDC covers 2013 to Week 13 of 2020. This is the most current report. All Deaths would include Covid19 in 2020. As you will see, the current deaths have not come close to the highs in previous years. Notice that the peak deaths occur in weeks 1 and 2 which are the week of January 1-7 and January 8-14, and that the peak deaths occur in the Winter. Remember, covid19 was not discovered till like March. The last week of this report is week 13, which is the week of March 25 to April 1, so the reports are 2 weeks behind.

Year	Week	All Deaths
2018	2	67495
2018	1	66134
2018	3	64647
2018	4	62780
2015	1	61737
2015	2	61141
2018	6	61110
2017	52	61090
2017	2	60980
2018	5	60974
2018	7	59779
2017	1	59763
2017	51	59505
2014	53	59342
2017	3	59293
2020	2	59052
2017	6	59038
2020	1	59033
2015	3	58628
2019	6	58489
2019	10	58488
2017	7	58479
2017	5	58432
2019	2	58352
2019	1	58289
2017	8	58288
2019	3	58193
2019	5	58126
2017	4	58047
2019	52	58021
2019	9	57918
2019	7	57917
2019	11	57869
2019	8	57857
2019	4	57836
2018	8	57793
2016	52	57613
2020	3	57522
2017	10	57477
2017	50	57370
2019	50	57302
2015	5	57284
2015	4	57269
2017	9	57256
2018	10	57093
2019	12	57087
2017	12	57045
2019	51	57025
2019	49	57014
2020	4	56881
2016	51	56696
2018	9	56692
2019	13	56671
2017	11	56656
2019	14	56595
2020	6	56586
2018	51	56528
2015	6	56420
2018	50	56387
2015	7	56348
2018	11	56326
2020	5	56231
2016	10	56112
2014	52	56028
2018	52	56026
2019	47	55999
2016	50	55977
2018	49	55967
2016	9	55875
2016	1	55788
2016	7	55785
2018	12	55766
2015	9	55732
2017	13	55703
2019	46	55698
2015	8	55668
2014	2	55620
2016	4	55606
2017	49	55595
2016	2	55525
2019	45	55486
2019	15	55473
2018	14	55294
2015	10	55272
2019	48	55247
2018	15	55228
2016	3	55182
2017	14	55160
2016	49	55133
2020	7	55109
2016	6	55106
2018	48	55060
2018	13	54918
2016	5	54896
2016	8	54873
2017	15	54861
2018	47	54847
2017	48	54760
2018	46	54698
2016	12	54662
2020	8	54650
2014	51	54622
2014	3	54580
2016	48	54496
2016	11	54462
2019	16	54449
2020	9	54268
2015	11	54262
2019	42	54135
2017	47	54120
2014	4	54085
2016	14	54066
2018	16	54038
2019	44	53989
2019	18	53971
2014	5	53955
2019	43	53916
2016	13	53880
2014	7	53815
2017	46	53767
2018	43	53763
2018	18	53741
2018	17	53727
2019	21	53672
2017	44	53667
2018	44	53638
2019	17	53626
2018	45	53561
2015	49	53556
2014	50	53554
2019	20	53550
2016	15	53490
2020	10	53463
2019	19	53453
2016	46	53442
2014	6	53397
2017	17	53295
2014	1	53277
2017	45	53240
2015	12	53238
2016	16	53149
2016	47	53128
2019	23	53112
2017	16	53070
2015	13	53009
2018	42	52979
2019	41	52864
2015	15	52844
2015	51	52761
2014	49	52727
2015	14	52696
2019	22	52696
2019	39	52669
2017	18	52657
2014	8	52642
2019	24	52623
2013	51	52548
2017	43	52543
2016	45	52524
2015	52	52490
2017	20	52480
2014	47	52469
2019	40	52459
2018	40	52357
2019	27	52327
2019	25	52267
2017	42	52222
2019	26	52183
2016	41	52124
2017	40	52107
2018	19	52105
2014	10	52058
2018	23	52001
2015	48	51996
2017	19	51985
2013	52	51954
2019	28	51913
2016	43	51864
2018	41	51849
2013	50	51848
2015	50	51842
2014	11	51782
2019	36	51775
2014	48	51762
2016	44	51741
2017	37	51694
2018	27	51684
2014	9	51674
2019	38	51671
2015	18	51659
2019	32	51647
2019	29	51615
2015	16	51608
2019	30	51602
2018	38	51583
2017	41	51577
2019	37	51543
2015	17	51466
2016	42	51436
2017	23	51418
2016	40	51400
2015	46	51387
2018	24	51387
2014	12	51385
2019	31	51354
2017	39	51342
2016	18	51270
2017	22	51256
2017	38	51229
2015	47	51196
2017	25	51195
2018	28	51191
2015	44	51158
2019	35	51108
2018	37	51083
2018	22	51045
2018	25	51044
2016	17	51027
2016	19	51000
2017	36	50979
2017	21	50972
2018	32	50967
2019	34	50964
2017	27	50959
2018	39	50959
2014	45	50952
2015	40	50950
2018	21	50929
2019	33	50927
2014	13	50858
2018	26	50855
2017	35	50832
2013	49	50812
2017	24	50797
2020	11	50785
2014	14	50749
2015	19	50672
2015	45	50668
2015	42	50667
2018	31	50637
2018	20	50618
2017	26	50617
2018	35	50611
2018	29	50609
2014	15	50532
2016	21	50490
2016	20	50469
2018	34	50459
2015	43	50384
2014	46	50361
2014	19	50321
2018	33	50301
2018	36	50299
2018	30	50274
2016	39	50254
2017	32	50237
2017	33	50185
2017	29	50127
2017	31	50087
2016	36	50075
2017	28	49973
2016	23	49917
2016	37	49915
2016	24	49910
2016	38	49876
2015	41	49830
2016	33	49809
2015	23	49751
2014	17	49747
2016	26	49746
2016	32	49740
2014	16	49736
2015	21	49718
2016	22	49711
2016	27	49698
2016	30	49698
2016	28	49637
2016	25	49623
2013	47	49591
2014	18	49590
2016	35	49576
2017	34	49517
2016	34	49509
2016	31	49505
2013	46	49409
2017	30	49362
2014	41	49351
2015	20	49327
2013	48	49288
2016	29	49275
2015	38	49228
2015	28	49227
2014	42	49224
2015	26	49218
2015	24	49109
2015	25	49057
2014	43	49044
2015	22	49041
2014	44	48947
2013	45	48939
2015	27	48917
2015	37	48857
2015	39	48805
2013	44	48777
2015	36	48762
2015	35	48723
2014	21	48598
2015	29	48548
2015	34	48496
2020	12	48488
2015	33	48438
2014	39	48413
2014	40	48359
2015	30	48258
2014	22	48163
2015	32	47977
2014	38	47944
2014	20	47931
2014	23	47750
2013	43	47746
2015	31	47732
2014	24	47715
2013	42	47602
2014	25	47540
2013	40	47492
2014	26	47341
2013	41	47304
2014	28	47292
2014	36	47288
2014	27	47240
2014	30	47122
2014	29	47098
2014	31	46936
2014	32	46885
2014	37	46814
2014	33	46646
2014	34	46631
2014	35	46393
2020	13	44402

Last Tradhican · « **Reply #3 on:** April 16, 2020, 07:57:21 AM »

Quote from: Last Tradhican on April 16, 2020, 07:12:35 AM

Notice how week 11 changes with every report. In my analysis, it takes about 3 months for the numbers to stabilize and not change so much.

In further played with the CDC spreadsheet and came up with exact numbers below. We can safely say then that the numbers stabilize within 5% in 7 weeks from say today. The report is 2 weeks behind and it stabilized within 5% for week 9.

Year	Week	All Deaths	Year	Week	All Deaths	Change in Deaths	Percentage of change
2019	1	58287	2019	1	58289	2	0.00%
2019	2	58350	2019	2	58352	2	0.00%
2019	3	58193	2019	3	58193	0	0.00%
2019	4	57831	2019	4	57836	5	0.01%
2019	5	58122	2019	5	58126	4	0.01%
2019	6	58489	2019	6	58489	0	0.00%
2019	7	57915	2019	7	57917	2	0.00%
2019	8	57856	2019	8	57857	1	0.00%
2019	9	57914	2019	9	57918	4	0.01%
2019	10	58487	2019	10	58488	1	0.00%
2019	11	57869	2019	11	57869	0	0.00%
2019	12	57085	2019	12	57087	2	0.00%
2019	13	56670	2019	13	56671	1	0.00%
2019	14	56593	2019	14	56595	2	0.00%
2019	15	55469	2019	15	55473	4	0.01%
2019	16	54450	2019	16	54449	-1	0.00%
2019	17	53617	2019	17	53626	9	0.02%
2019	18	53967	2019	18	53971	4	0.01%
2019	19	53452	2019	19	53453	1	0.00%
2019	20	53549	2019	20	53550	1	0.00%
2019	21	53665	2019	21	53672	7	0.01%
2019	22	52692	2019	22	52696	4	0.01%
2019	23	53111	2019	23	53112	1	0.00%
2019	24	52619	2019	24	52623	4	0.01%
2019	25	52264	2019	25	52267	3	0.01%
2019	26	52180	2019	26	52183	3	0.01%
2019	27	52327	2019	27	52327	0	0.00%
2019	28	51906	2019	28	51913	7	0.01%
2019	29	51615	2019	29	51615	0	0.00%
2019	30	51600	2019	30	51602	2	0.00%
2019	31	51347	2019	31	51354	7	0.01%
2019	32	51639	2019	32	51647	8	0.02%
2019	33	50921	2019	33	50927	6	0.01%
2019	34	50957	2019	34	50964	7	0.01%
2019	35	51106	2019	35	51108	2	0.00%
2019	36	51770	2019	36	51775	5	0.01%
2019	37	51534	2019	37	51543	9	0.02%
2019	38	51661	2019	38	51671	10	0.02%
2019	39	52664	2019	39	52669	5	0.01%
2019	40	52444	2019	40	52459	15	0.03%
2019	41	52858	2019	41	52864	6	0.01%
2019	42	54120	2019	42	54135	15	0.03%
2019	43	53906	2019	43	53916	10	0.02%
2019	44	53971	2019	44	53989	18	0.03%
2019	45	55460	2019	45	55486	26	0.05%
2019	46	55679	2019	46	55698	19	0.03%
2019	47	55976	2019	47	55999	23	0.04%
2019	48	55225	2019	48	55247	22	0.04%
2019	49	56974	2019	49	57014	40	0.07%
2019	50	57246	2019	50	57302	56	0.10%
2019	51	56970	2019	51	57025	55	0.10%
2019	52	57921	2019	52	58021	100	0.17%
2020	1	58822	2020	1	59033	211	0.36%
2020	2	58670	2020	2	59052	382	0.65%
2020	3	56942	2020	3	57522	580	1.02%
2020	4	56111	2020	4	56881	770	1.37%
2020	5	54926	2020	5	56231	1305	2.38%
2020	6	55054	2020	6	56586	1532	2.78%
2020	7	53647	2020	7	55109	1462	2.73%
2020	8	52985	2020	8	54650	1665	3.14%
2020	9	51721	2020	9	54268	2547	4.92%
2020	10	47917	2020	10	53463	5546	11.57%
2020	11	37641	2020	11	50785	13144	34.92%
			2020	12	48488
			2020	13	44402

Last Tradhican · « **Reply #4 on:** April 16, 2020, 08:13:27 AM »

Keep in mind that if they are classifying other deaths as Covid19, this Death by All Causes does not change unless they are inventing deaths. This is why I only go by All Deaths. If there is a Covid19 "plague", these death figures should have increased substantially, but they have not come close to the highest numbers in the CDC report from 2013 to present. One should also take into account that if the figures do increase to the levels of 2018, it means that the sick with pre-existing conditions died ahead of their time, and the All Deaths figure for the future will go down. The exponentiality theory of the spread of Covid19 (that it spreads exponentially) is the foundational pillar of the shutdown of all commerce. I do not see any exponentiality in the CDC numbers.

Guardian · « **Reply #5 on:** April 18, 2020, 06:54:24 PM »

Re: "This is why I only go by All Deaths".

In the 2011-2012 Influenza season, CDC figures indicated a low number of deaths - approximately 12,000. In the 2017-2018 Influenza season, CDC figures indicated a high number of deaths - approximately 61,000.
https://www.cdc.gov/flu/about/burden/index.html

To postulate that if the figure for "All Deaths" is lower for any given year or week, than another, therefore deaths for a particular category are being misreported, proves nothing, because of such variables. In the example given, there was a variance of nearly 40,000 deaths from one Influenza season to another just in that category alone.

The Influenza season starts on October 1st each year. The “CDC, in its latest report, estimated that there had been at least 23,000 deaths related to the flu from October 1, to March 14, 2020”.

https://www.advisory.com/daily-briefing/2020/03/24/flu-update

That would be 23,000 deaths in 166 days, or an average of 139 deaths per day. There are 34 days from March 14 to April 17, so (34 X 139) would be an additional 4,794 fatalities for a total of 27,794.

Since its inception in late January, 2020, up until 4/17/20, Coronavirus is said to be responsible for 37,154 deaths in the US.
https://www.worldometers.info/coronavirus/

The overall rate of increase, not only illustrates that Coronavirus has resulted in more deaths than Influenza thus far, but that it has done so in far less time.

The above illustrates the exponential nature of rise in deaths from CCP Coronavirus, and clearly disproves the assertion that seasonal flu is responsible for many more deaths than Coronavirus. This in spite of “Non-Pharmaceutical Interventions” that have been put into place.

Guardian · « **Reply #6 on:** April 18, 2020, 06:57:16 PM »

Guardian · « **Reply #7 on:** April 19, 2020, 05:48:33 AM »

Last Tradhican · « **Reply #8 on:** April 19, 2020, 10:50:00 AM »

Quote from: Guardian on April 18, 2020, 06:54:24 PM

Re: "This is why I only go by All Deaths".

In the 2011-2012 Influenza season, CDC figures indicated a low number of deaths - approximately 12,000. In the 2017-2018 Influenza season, CDC figures indicated a high number of deaths - approximately 61,000.
https://www.cdc.gov/flu/about/burden/index.html

To postulate that if the figure for "All Deaths" is lower for any given year or week, than another, therefore deaths for a particular category are being misreported, proves nothing, because of such variables. In the example given, there was a variance of nearly 40,000 deaths from one Influenza season to another just in that category alone.

40,000 deaths versus 2,500,000+ deaths from all medical causes for the year, that is 1.6% of 2,500,000. Your focus is on less than 1.6%, my focus is on the 98.4%. Influenza is nothing compared to even pneumonia, even in the worst of seasons, influenza deaths never goes above 11% of pneumonia deaths. Influenza, just like COVID19 can be re-classified pneumonia, heart attacks, cancer, lung or other. THAT is why I focus only on all deaths.

Last Tradhican · « **Reply #9 on:** April 19, 2020, 11:03:04 AM »

Here is the latest report which is for week 15, notice the these so-called Covid19 pandemic weeks have not even reached the levels of week 1 and 2 of 2020, let alone the worst years from 2013 to present.

Year	Week	All Deaths
2013	40	47492
2013	41	47304
2013	42	47602
2013	43	47746
2013	44	48777
2013	45	48939
2013	46	49409
2013	47	49591
2013	48	49288
2013	49	50812
2013	50	51848
2013	51	52548
2013	52	51954
2014	1	53277
2014	2	55620
2014	3	54580
2014	4	54085
2014	5	53955
2014	6	53397
2014	7	53815
2014	8	52642
2014	9	51674
2014	10	52058
2014	11	51782
2014	12	51385
2014	13	50858
2014	14	50749
2014	15	50532
2014	16	49736
2014	17	49747
2014	18	49590
2014	19	50321
2014	20	47931
2014	21	48598
2014	22	48163
2014	23	47750
2014	24	47715
2014	25	47540
2014	26	47341
2014	27	47240
2014	28	47292
2014	29	47098
2014	30	47122
2014	31	46936
2014	32	46885
2014	33	46646
2014	34	46631
2014	35	46393
2014	36	47288
2014	37	46814
2014	38	47944
2014	39	48413
2014	40	48359
2014	41	49351
2014	42	49224
2014	43	49044
2014	44	48947
2014	45	50952
2014	46	50361
2014	47	52469
2014	48	51762
2014	49	52727
2014	50	53554
2014	51	54622
2014	52	56028
2014	53	59342
2015	1	61737
2015	2	61141
2015	3	58628
2015	4	57269
2015	5	57284
2015	6	56420
2015	7	56348
2015	8	55668
2015	9	55732
2015	10	55272
2015	11	54262
2015	12	53238
2015	13	53009
2015	14	52696
2015	15	52844
2015	16	51608
2015	17	51466
2015	18	51659
2015	19	50672
2015	20	49327
2015	21	49718
2015	22	49041
2015	23	49751
2015	24	49109
2015	25	49057
2015	26	49218
2015	27	48917
2015	28	49227
2015	29	48548
2015	30	48258
2015	31	47732
2015	32	47977
2015	33	48438
2015	34	48496
2015	35	48723
2015	36	48762
2015	37	48857
2015	38	49228
2015	39	48805
2015	40	50950
2015	41	49830
2015	42	50667
2015	43	50384
2015	44	51158
2015	45	50668
2015	46	51387
2015	47	51196
2015	48	51996
2015	49	53556
2015	50	51842
2015	51	52761
2015	52	52490
2016	1	55788
2016	2	55525
2016	3	55182
2016	4	55606
2016	5	54896
2016	6	55106
2016	7	55785
2016	8	54873
2016	9	55875
2016	10	56112
2016	11	54462
2016	12	54662
2016	13	53880
2016	14	54066
2016	15	53490
2016	16	53149
2016	17	51027
2016	18	51270
2016	19	51000
2016	20	50469
2016	21	50490
2016	22	49711
2016	23	49917
2016	24	49910
2016	25	49623
2016	26	49746
2016	27	49698
2016	28	49637
2016	29	49275
2016	30	49698
2016	31	49505
2016	32	49740
2016	33	49809
2016	34	49509
2016	35	49576
2016	36	50075
2016	37	49915
2016	38	49876
2016	39	50254
2016	40	51400
2016	41	52124
2016	42	51436
2016	43	51864
2016	44	51741
2016	45	52524
2016	46	53442
2016	47	53128
2016	48	54496
2016	49	55133
2016	50	55977
2016	51	56696
2016	52	57613
2017	1	59763
2017	2	60980
2017	3	59293
2017	4	58047
2017	5	58432
2017	6	59038
2017	7	58479
2017	8	58288
2017	9	57256
2017	10	57477
2017	11	56656
2017	12	57045
2017	13	55703
2017	14	55160
2017	15	54861
2017	16	53070
2017	17	53295
2017	18	52657
2017	19	51985
2017	20	52480
2017	21	50972
2017	22	51256
2017	23	51418
2017	24	50797
2017	25	51195
2017	26	50617
2017	27	50959
2017	28	49973
2017	29	50127
2017	30	49362
2017	31	50087
2017	32	50237
2017	33	50185
2017	34	49517
2017	35	50832
2017	36	50979
2017	37	51694
2017	38	51229
2017	39	51342
2017	40	52107
2017	41	51577
2017	42	52222
2017	43	52543
2017	44	53667
2017	45	53240
2017	46	53767
2017	47	54120
2017	48	54760
2017	49	55595
2017	50	57370
2017	51	59505
2017	52	61090
2018	1	66134
2018	2	67495
2018	3	64647
2018	4	62780
2018	5	60974
2018	6	61110
2018	7	59779
2018	8	57793
2018	9	56692
2018	10	57093
2018	11	56326
2018	12	55766
2018	13	54918
2018	14	55294
2018	15	55228
2018	16	54038
2018	17	53727
2018	18	53741
2018	19	52105
2018	20	50618
2018	21	50929
2018	22	51045
2018	23	52001
2018	24	51387
2018	25	51044
2018	26	50855
2018	27	51684
2018	28	51191
2018	29	50609
2018	30	50274
2018	31	50637
2018	32	50967
2018	33	50301
2018	34	50459
2018	35	50611
2018	36	50299
2018	37	51083
2018	38	51583
2018	39	50959
2018	40	52357
2018	41	51849
2018	42	52979
2018	43	53763
2018	44	53638
2018	45	53561
2018	46	54698
2018	47	54847
2018	48	55060
2018	49	55967
2018	50	56387
2018	51	56528
2018	52	56026
2019	1	58291
2019	2	58351
2019	3	58194
2019	4	57837
2019	5	58128
2019	6	58492
2019	7	57917
2019	8	57858
2019	9	57920
2019	10	58490
2019	11	57872
2019	12	57087
2019	13	56672
2019	14	56595
2019	15	55477
2019	16	54451
2019	17	53629
2019	18	53971
2019	19	53456
2019	20	53551
2019	21	53672
2019	22	52701
2019	23	53114
2019	24	52626
2019	25	52270
2019	26	52185
2019	27	52327
2019	28	51915
2019	29	51617
2019	30	51611
2019	31	51358
2019	32	51649
2019	33	50934
2019	34	50969
2019	35	51108
2019	36	51776
2019	37	51548
2019	38	51674
2019	39	52675
2019	40	52465
2019	41	52870
2019	42	54143
2019	43	53922
2019	44	54000
2019	45	55502
2019	46	55711
2019	47	56038
2019	48	55267
2019	49	57034
2019	50	57319
2019	51	57065
2019	52	58053
2020	1	59087
2020	2	59151
2020	3	57616
2020	4	57000
2020	5	56426
2020	6	56962
2020	7	55981
2020	8	55494
2020	9	54834
2020	10	54157
2020	11	52198
2020	12	51602
2020	13	52285
2020	14	49292
2020	15	27688

Guardian · « **Reply #10 on:** April 19, 2020, 11:42:34 AM »

Your focus on "All Deaths" does not support your premise that Coronavirus death reporting is being misreported. The graph I attached supports the spike being seen in Covid-19 and the websites below provide credible resources for tracking its progression.
About Worldometer COVID-19 Data
Worldometer manually analyzes, validates, and aggregates data from thousands of sources in real time and provides global COVID-19 live statistics for a wide audience of caring people around the world.

Our data is also trusted and used by the UK Government, Johns Hopkins CSSE, the Government of Thailand, the Government of Vietnam, the Government of Pakistan, Financial Times, The New York Times, Business Insider, BBC, and many others.

Over the past 15 years, our statistics have been requested by, and provided to Oxford University Press, Wiley, Pearson, CERN, World Wide Web Consortium (W3C), The Atlantic, BBC, Milton J. Rubenstein Museum of Science & Technology, Science Museum of Virginia, Morgan Stanley, IBM, Hewlett Packard, Dell, Kaspersky, PricewaterhouseCoopers, Amazon Alexa, Google Translate, the United Nations Conference on Sustainable Development (Rio+20), the U2 concert, and many others.

Worldometer is cited as a source in over 10,000 published books and in more than 6,000 professional journal articles and was voted as one of the best free reference websites by the American Library Association (ALA), the oldest and largest library association in the world.

https://www.worldometers.info/coronavirus/about/#about

About The COVID TRACKING PROJECT

The COVID Tracking Project exists because every person, newsroom, and government agency in the United States deserves access to the most complete picture of COVID-19 testing data that can be assembled.

The COVID Tracking Project is a volunteer organization launched from The Atlantic and dedicated to collecting and publishing the data required to understand the COVID-19 outbreak in the United States. Since early March, 2020, we have grown from a tiny team with a spreadsheet to a project with hundreds of volunteer data-gatherers, developers, scientists, reporters, designers, editors, and other dedicated contributors.

Every day, we collect data on COVID-19 testing and patient outcomesfrom all 50 states, 5 territories, and the District of Columbia. Our dataset is currently in use by national and local news organizations across the US and by research projects and agencies worldwide. As of mid-April, our data API (which allows sites and apps to import our dataset automatically) receives about one million requests per day.

https://covidtracking.com/about-project

About the John Hopkins COVID-19 Case Tracker

Johns Hopkins experts in global public health, infectious disease, and emergency preparedness have been at the forefront of the international response to COVID-19.
This website is a resource to help advance the understanding of the virus, inform the public, and brief policymakers in order to guide a response, improve care, and save lives.

https://coronavirus.jhu.edu/#covid-19-basics

About CDC Case Count Coronavirus Interactive

The total number of Covid-19 cases in the US Reported to the CDC by jurisdiction.

https://www.cdc.gov/coronavirus-interactive/index.html

Last Tradhican · « **Reply #11 on:** April 19, 2020, 11:55:45 AM »

Quote from: Guardian on April 19, 2020, 11:42:34 AM

Your focus on "All Deaths" does not support your premise that Coronavirus death reporting is being misreported.

Then you follow your COVID19 Worldmeter. To each his own.

Me, I see the COVID19 Worldmeter as the Wizard of Oz on the screen. I'll follow the total deaths from the CDC which so far does not show any up spike in total deaths in the USA to warrant the martial law they are imposing.

Last Tradhican · « **Reply #12 on:** August 16, 2020, 04:59:24 AM »

I'm back now that the CDC numbers for all deaths for 2020 has clearly reached the peak point for the season, peaking in week 15 (the numbers come from the latest CDC report which is for week 32). I've sorted the CDC spreadsheet All Deaths weekly numbers from the highest to lowest numbers per week going from 2013 to 2020. As one can see from the spreadsheet the total deaths for 2020 are about 11,000 deaths per week higher than 2018. Now, that's 11,000 more deaths among 350,000,000 people, that is .00003 %. Was this whole lockdown disruption of life and devastation of the economy in the USA necessary for saving 11,000 lives, when the USA regularly aborts about 28,000 children per week?

Year	Week	All Deaths
2020	15	78557
2020	16	76267
2020	17	73281
2020	14	71789
2020	18	68715
2018	2	67495
2020	19	66263
2018	1	66134
2018	3	64647
2020	20	63911
2018	4	62780
2020	13	62529
2015	1	61737
2015	2	61141
2018	6	61110
2017	52	61090
2017	2	60980
2018	5	60974
2020	21	60936
2020	2	60433
2020	1	59938
2018	7	59779
2017	1	59763
2017	51	59505
2014	53	59342
2017	3	59293
2020	10	59166
2020	6	59104
2017	6	59037
2020	3	59000
2020	9	58937
2020	22	58903
2015	3	58628
2020	4	58582
2020	12	58570
2019	10	58546
2019	6	58523
2020	8	58503
2020	7	58480
2017	7	58479
2019	52	58458
2017	5	58431
2019	2	58362
2020	5	58338
2019	1	58299
2017	8	58288
2019	3	58220
2019	5	58152
2017	4	58047I

forlorn · « **Reply #13 on:** August 16, 2020, 05:43:58 AM »

Quote from: Last Tradhican on August 16, 2020, 04:59:24 AM

Was this whole lockdown disruption of life and devastation of the economy in the USA necessary for saving 11,000 lives, when the USA regularly aborts about 28,000 children per week?

Nope. No yoke the Jєω World Order ever puts over us is ever necessary, or for our good.

Struthio · « **Reply #14 on:** August 16, 2020, 06:05:21 AM »

Quote from: Last Tradhican on August 16, 2020, 04:59:24 AM

Now, that's 11,000 more deaths among 350,000,000 people, that is .00003 %.

11,000 / 350,000,000 = .00003 = .003%

Author Topic: How Does Worldometer Get Deaths by the Minute? (Read 813 times)

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How Does Worldometer Get Deaths by the Minute?

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